eChapters

5.1 Introduction

Out of the many climatic events that influence the earth’s environmental fabric, drought is perhaps the one that is most linked with desertification. Drought is a natural hazard originating from a deficiency of precipitation that results in a water shortage for some activities or some groups and is often associated with other climatic factors (such as high temperatures, high winds and low relative humidity) that can aggravate the severity of the event. Drought differs from aridity in that the latter is restricted to low rainfall regions and is a permanent feature of the climate. Drought occurrences are common in virtually all climatic regimes.

Widespread and severe drought conditions in Asia, Latin America and the Caribbean in 2000 have raised serious concerns about the continuing vulnerability of the world community to extended periods of droughts and water shortages. In 2000, major droughts affected much of south-eastern Europe, the Middle East, and the area through central Asia to northern China. Especially hard hit was Afghanistan, Bulgaria, Iraq and the Islamic Republic of Iran and parts of China. In North America, months of above-average temperature coincided with below-normal precipitation through northern Mexico and much of the southern and western regions of the USA, leading to one of the worst wildfires in the past 50 years.

By August 2001, much of Western Asia, Central Asia, and the Middle East was suffering the third year of a continuing drought that severely reduced many countries’ crop yields. The countries most affected were Afghanistan, India, Islamic Republic of Iran, Pakistan, and Tajikistan.

1.1. Dry farming (Dryland farming)

Cultivation of crops in a region where the annual rainfall is more than 750 mm.

Semi arid crops with growing period of 75-120 days.

Crop failure is less frequent.

Moisture conservation practices are necessary.

Introduction
India is the seventh largest having 329.73 million ha of geographical area and second most populous country having more than a billion population in the world. There is no other substitute other than to use every square inch of land and every drop of water effectively and efficiently. Though there was markedly increase in annual food grain production from 51 (1950-51) million tones t0 206 million tones (2000-01), still the death on hunger is visualized.
The demand for food is increasing with ever-increasing population growth rate. So there is no option other than to increase food production. There is very little or no scope of horizontal expansion due to land limitation, the question of vertical expansion is the only way to fit with the situation. Genetically improved crop variety, hybrids, mechanized agriculture, higher rate of fertilizers and chemicals application may give one or two more green revolution, but the question lies how far it can sustain greenness?
Adoption of improved crop cultivars, cropping system, increasing cropping intensities, precision farming can hold good to get out of this situation where whole system is to be considered.
The cropping intensities in the states like Assam, Bihar, MP, Orissa, UP and West Bengal are 137.7, 137.8, 125.6, 154.6, 148.6 and 159.6 percent, respectively (FAI,1994-95). This indicated that a vast majority of lands remain fallow during dry season due to lack of proper technologies, which are under rainfed conditions, neglected. Except West Bengal, more than half of the arable land remains fallow during rainless period. Increasing cropping intensities in rainfed uplands is not easily achievable but there is great potential of intensification of cropping in rainfed lowland by utilizing natural resources and conserved residual moisture. Pulses like black gram, green gram, lentil, lathyrus, chick pea and oilseeds like linseed, groundnut, rapeseed could not only increase the cropping intensities but also come forward to increase national productivity.

Q. 1 LSU dryer was developed at
(A) London State University       (B) Ludhiana State University
(C) Lucknow State University     (D) Lusiana State University

Introduction

Durum or macaroni wheat (T. turgidum var. durum) is an important crop used chiefly for the production of pasta in Western Europe and North America, and two layered bread, single layered bread, burghul, couscous, pasta, frek and feed in other parts of the world (Table 1). In North Africa and the Middle East, durum is also used for producing flat breads. On a global basis only a small amount of durum wheat is used for baking of pan-style and hearth-style bread. Also, durum wheat for baking is often used in blends with common wheat. In India, durum occupies approximately 2.0 mha area and production is estimated to be around 2.5-3.0 million tones annually amounting to 3-4% of the total wheat production. The consumption of pasta is increasing at the rate of around 5% annually and currently it is estimated to be around 10 Lakh tones. The demand for pasta products may increase further due to increasing population and improving standard of living.

Plant diseases significantly reduce crop productivity, quality, and economic returns, making early and accurate detection essential for effective crop protection. This chapter examines the application of machine learning and computer vision for identifying diseases at an early stage. It discusses agricultural image acquisition using RGB, hyperspectral, and sensor-based technologies, followed by image preprocessing, segmentation, feature extraction, and classification. Machine learning algorithms such as support vector machines, random forests, and convolutional neural networks are considered for disease recognition. The chapter also explores the integration of AI with IoT and mobile technologies and presents practical applications while addressing challenges involving datasets, environmental variability, model generalization, and computational requirements.

An earthen dam is an embankment constructed primarily from compacted soil to impound runoff and create a reservoir. Such dams support irrigation, water supply, groundwater recharge, hydropower generation, and flood moderation. Their successful performance depends on suitable site conditions, proper materials, adequate compaction, controlled seepage, stable slopes, and safe disposal of surplus water. This chapter introduces the advantages and limitations of earthen dams, construction materials, types of embankment sections, and their principal components. Particular attention is given to cut-offs, impervious cores, casing or shells, foundations, filters, drainage systems, spillways, outlets, slope protection, and common causes of deterioration or structural failure.

Since many decades environmentalists have warned of perils of chemicalised sports grounds, golf courses and cricket fields. They warn that our health is inextricably linked to the widespread use of toxic chemicals and also complain about the non-availability of safe alternatives.
Eco-sustainable sports fields must use the methods : 
    ·    That do not pollute
    ·    That are environment-friendly and effective
    ·    That economize on the use of water and energy

Introduction

The deterioration of interior air quality brought on by dangerous chemicals and other factors is known as indoor air pollution, which can be up to 10 times worse than outside air pollution. This is due to the fact that confined spaces foster the buildup of potential pollutants more than do open spaces. In underdeveloped countries, statistics show that indoor air pollution has a far worse effect on health than outside air pollution. Indoor air pollution can be defined as ‘ the totality of attributes of indoor air that affects a person’s health and well-being’ ( Singh & Jamal, 2012). Indoor air pollution from solid fuels was to blame for 3.5 million fatalities, 16% of particulate matter pollution, and 4.5% of global daily-adjusted life years in 2010. (DALY).

Life cycle cost analysis

Economics of solar energy devices can be calculated through life cycle cost (LCC) analysis. Total life cycle cost of a device is comprised of capital cost, maintenance cost, replacement costs for damagaed components and operational cost. Before adding these above costs, all future costs (C) are converted to present worth considering the relative rate of inflation (i) and discount rate (d).

Where, PW is the present worth of any future cost, i is the relative rate of inflation and d is the discount rate per year and n is the time period in years. Relative rate of inflation accounts for the escalted increase or decrease in prices of a commodity in comparison to general inflation rate. For any commodity, if the price escalation is expected as per the general inflation rate then relative rate of inflation is considered zero. In general case, relative rate of inflation is considered zero. Discount rate accounts the real value of money in future and in most of the economies of the world it is about 8-12%, and therefore 10% is considered in most analyis. The discount rate also refers to the interest rate used in discounted cash flow (DCF) analysis to determine the present value of future cash flows. The discount rate in DCF analysis takes into account not just the time value of money, but also the risk or uncertainty of future cash flows; the greater the uncertainty of future cash flows, the higher the discount rate. A discount rate of 10 % per year would mean that in real terms it makes no difference to a farmer whether he has ? 100 now or ? 110 in one year’s time. Conversely, a cost of ? 110 one year from now has a present worth of ? 100. For a future single cost in n^th year, the present worth of that cost is calculated using Eq (1). However, for future multiple payments, costs are to be converted to present worth for each year and then needs to be cumulated. For calculation of annualized life cycle cost (ALCC) of solar devices, annuity factor (AF) needs to be calculated for a period of life cycle of the device as follows:

6.1 Introduction

Urbanization is now a global phenomenon, but in developing countries the implications are more pronounced. Natural growth of population, reclassifications of habitation and migration trends are important in urban population in India. The population of India, which accounts for 27 per cent of the total population, was 285 million according to 2001 census. International experience shows that the pace of urban development accelerates when a country’s urban population crosses close to 25 percent of the total population (like in India).(Kumar and Chakrabarti, 2010). 

In order to assess the economic value of biochar, various factors need to be taken into account, including production expenses, market demand, potential income sources, and cost reductions. The economic worth of biochar can be determined by considering these factors.

8.1 Production costs

The cost of producing biochar can differ based on various factors such as the type of material used, the scale of production, the method of pyrolysis used, and the particular operational conditions.

i. Feedstock costs

• The cost of acquiring or producing biomass feedstock includes purchasing agricultural residues, forestry waste, or other biomass sources. Additional costs such as land, seeds, fertilizers, and harvesting should be considered using dedicated energy crops.

Introduction 
Biofuels have emerged as a key solution in the energy transition toward sustainable energy, reducing dependence on fossil fuels and cutting greenhouse gas (GHG) emissions. The demand for biofuels has been steadily increasing due to environmental concerns, government promotional policies, and technological advancements. The factors driving biofuel demand, current market trends, and future projections are the global demand for biofuels is experiencing rapid growth due to government policies, energy security concerns, and advancements in sustainable biofuel production. As more countries implement biofuel mandates and invest in next-generation biofuels, demand is expected to rise significantly in the coming years, positioning biofuels as a critical component of the global energy transition. Governments worldwide have implemented various policies to promote biofuel production and consumption. These policies aim to reduce greenhouse gas emissions, enhance energy security, and support rural economies. Ethanol remains the most widely used biofuel, with major producers like the U.S., Brazil, and China increasing production to meet rising demand. The U.S. and Brazil collectively account for over 80% of global ethanol production. Bioethanol production originated in Brazil in the early 20th century, where sugarcane was used to produce ethanol as a fuel additive. However, the United States also played a significant role in the large-scale commercialization of bioethanol, especially from corn, starting in the 1970s during the oil crisis. Brazil remains a global leader in sugarcane-based ethanol, while the U.S. leads in corn-based ethanol production. Biodiesel demand is growing, particularly in the European Union, Indonesia, and Argentina. Indonesia’s B30 program (30% biodiesel blending) has significantly boosted demand. Between 2005 and 2015, the biodiesel production experienced a sevenfold increase and is projected to grow by an additional 35% by 2025 (OECD/ FAO, 2014). Biofuel policies have played a crucial role in shaping the growth of biofuel production worldwide. Since their inception, these policies have provided financial incentives, blending mandates, and research support, which have driven large-scale production. The impact of these policies varies across major biofuelproducing nations, including the United States, Brazil, the European Union, China, and India (Table 1). The U.S. biofuel industry expanded significantly due to the

11.1 Introduction

Economic analysis is the most important parameter for determining the optimum size of farm pond. It is, no doubt that a big size farm pond can meet the irrigation demand of the crops grown in the command areas in addition to meeting the other demand in the command areas. But a big size farm pond is an oversize structure which necessitates large investment to be incurred which may not be economically viable. On the other hand, a small size structure may not be able to meet the crop water demand and also other demands in the command areas and so is called as under-designed structure. It has been observed that as the size of the farm pond gradually increases from a certain minimum size, the total investment cost increases. At the same time, the benefits from the increasing storage capacity of the farm pond also get increased. In such cases, from a purely business point of view, the most economical capacity is that which provides the highest rate of return on investment. As the size of the farm pond increases, the proportion of the benefit/profit to the cost also increases from certain minimum size, attains maximum value at a particular size and then declines as the size further increases. This particular size of the farm pond at which the net profit is maximum, is called as the optimum size. It is to be noted that at the optimum size, the other economic indicators like the benefit-cost ratio and internal rate of return are also high. The variation of net profit with size of the farm pond is a concave curve. The size of the farm pond corresponding to the peak of the curve which represents the highest net profit is the optimum size of the pond.

The principle of obtaining the optimum size of farm pond is to first assume a certain minimum size say five percent of the farm area and conduct the economic analysis by studying the costs and net profits of the assumed size. Then the size is gradually increased and the economic analysis is conducted for each increased size. Then a curve relating the size of the farm pond and net profit is drawn. Such a curve is generally concave shaped. The size of the structure corresponding to the maximum net profit gives the optimum size. It is to be noted that any size chosen more or less than the optimum size would give less net profit and benefit-cost ratio than that of the optimum size.

Q. 1 Annual depreciation of a machine is included in
(A) Fixed cost         (B) Variable cost
(C) Hiring cost         (D) None of the above

Education has continuously evolved in response to technological, economic, and social change. Education 5.0 represents a further transformation toward human-centered, personalized, inclusive, creative, sustainable, and collaborative learning environments supported by intelligent technologies. This chapter examines the evolution from Education 1.0 through Education 4.0 and explains how Generative Intelligence contributes to the emerging Education 5.0 paradigm. Earlier models progressed from teacher-centered knowledge transmission to standardized education, digitally connected learning, and technology-enabled competency development. Education 5.0 extends this evolution by emphasizing meaningful collaboration between humans and intelligent systems rather than simple technology adoption. Generative AI can support personalized content, automated assessment, intelligent tutoring, adaptive learning pathways, multimodal resources, and immersive educational experiences. The chapter also considers the role of AI, IoT, AR/VR, robotics, big data, cloud technologies, and other digital systems in shaping future learning ecosystems. Importantly, Education 5.0 must address data privacy, algorithmic fairness, academic integrity, digital inequality, sustainability, and human control. The chapter presents Education 5.0 as a human-centered transformation in which technology supports creativity, inclusivity, lifelong learning, social responsibility, and sustainable development.

The weather plays a very significant role in crop production. The agricultural production depends upon four factors i.e., soil, genetic material, management practices and weather. Of these four factors, the farmers have least control on weather and have to evolve management strategies to cope up with the weather conditions. The crops can be grown only when the seasonal weather conditions are conducive to crop production. The different weather factors on crop growth and development are as follows:
13.1. Temperature
For each species of plants, there are upper and lower limits of temperature beyond which the growth is negligible. The optimum temperatures at which growth is maximum may vary from crop to crop but will be within the range of 15 to 30°C. Temperatures beyond 45°C cause wilting of plants. There are also optimum temperature requirements during different stages of crop growth.
13.1.1. Warm Season Crops: The Warm season crops are rice, sorghum, maize,
pearl millet, groundnut, pigeon pea, cowpea etc. These crops are also called tropical crops. These crops can be grown during monsoon season and in early summer season. The optimum temperatures for these crops fall in the range of 15°C to 38°C.
13.1.2. Cool Season Crops: The crops which grow best under cool weather
conditions are called cool season crops and are generally grown during winter season. The important cool season crops are wheat, mustard, Chickpea, barley, potato, Safflower. These crops are also called temperate crops. The optimum temperature for better growth of these plants range from 10°C to 30°C.
13.2. Effect of Temperature on Growth and Development
The crop development is described in terms of its various stages of growth including germination of seeds, emergence of seedlings, tillering, flower initiation, grain formation, physiological maturity and harvest maturity etc., before it completes its life cycle. The various stages of growth, the crop passes through are called phenophases. Phenology is the study of timing of the phenophases. The temperature and day length (photo period) will have considerable influence on phenology of the crops. The temperature from which crop development begins is called base temperature. The base temperature is considered as 8°C for the crops grown during kharif season and 5°C for the crops grown during winter

Abstract

Garden peas of two cultivars (Pb-87 and Pb-88) were procured. Pods were shelled manually, grains were blanched and dehydrated. Other lot of peas of both the varieties was allowed to mature on the plant till the plant foliage dried up, harvested, pods were dried in shade for few days, shelled manually and grains were further dried in shade. Grits were prepared by grinding rice and pea (dhal) in a laboratory grinder to pass through 20 mesh sieve. Blends were prepared by mixing rice and pea grits in the ratio of 100:0, 85:15 and 70:30. The blends were subjected to extrusion cooking using Brabender single screw extruder. The extruder die pressure, specific energy consumption (SEC), expansion ratio, density, water absorption index (WAI), water solubility index (WSI) and organoleptic characteristics were studied. Addition of pea grits resulted in a decrease in die pressure in all the blends. Addition of pea grits showed a significant effect on SEC. A decrease in expansion with increase in the level of pea grits in blend was observed. The extrudates having lower expansion showed higher density values and vice versa. Effect of replacement of rice grits with pea grits on WAI was found to be significant. Level of pea grits significantly affected the WSI. Incorporation of pea grits in the rice grits significantly affected the sensory characteristics. Replacement of rice grits with mechanically dried pea grits resulted in deterioration of acceptability score, but addition of field dried pea grits improved the same.

Abstract

Paddy seeds of variety PR - 116 were obtained from the PAU seed farm. These seeds were cleaned with commonly used seed processing equipment. Samples were divided into 2 parts. One part was kept as such for taking the observations of feed (control) and the remaining part was passed through specific gravity separator for its refinement. The various fractions obtained were recovery, middlings, and rejections. These graded fractions as well as the feed were packed in 5-kg cloth bags and stored under ambient conditions. Different quality parameters viz. moisture content, physical purity, thousand grain weight, percent germination, root/shoot length, vigour index and speed of germination were recorded at 30 days interval. The physical purity, thousand grain weight, percent germination, root length, shoot length and vigour index were found to be higher in recovery and minimum for rejections while moisture content was highest for rejection as compared to all other fractions. Germination, root/ shoot length, vigour index and speed of germination increased with the duration of storage while moisture content, thousand-grain weight and physical purity followed a reversed trend. Compared to feed, the recovery had higher quality attributes after 4 months of storage viz. moisture content decreased by 0.3%; physical purity increased by 0.67%; thousand grain weight increased by 2.97 gm/ thousand grain, germination increased by 8%; vigour index increased by 481.1 points; speed of germination increased by 3.2 seedlings per day. The grading resulted in improvement in overall quality of sunflower seed.

Objective: Equip participants with the skills to communicate clearly, confidently, and empathetically in verbal, non-verbal, and written forms to foster collaboration, reduce misunderstandings, and build stronger workplace relationships.
Why It Matters
Effective communication is the cornerstone of professional success. It ensures ideas are conveyed clearly, builds trust, and prevents conflicts. Poor communication can lead to misaligned expectations, decreased productivity, and strained relationships. For example, a vague email can cause project delays, or a misunderstood tone in a meeting can create tension. This module empowers participants to master communication in diverse workplace scenarios.
Learning Outcomes: By the end of this module, participants will:
1. Understand the components of effective communication (verbal, nonverbal, written).
2. Practice active listening and empathetic responses to enhance interpersonal connections.
3. Craft clear, professional written messages tailored to their audience.
4. Apply communication strategies in real-world scenarios through interactive exercises.

Rice farming under different subsystems of lowland ecology
1. Rainfed lowland with limited water at seeding and excess water at later growth stages: In rainfed lowland areas, the rice is direct seeded in dry soil in April-May before onset of monsoon (June) and seeds germinate with the showers received after sowing. Drought at the seedling stage kills seedlings and results in poor stand establishment. Furthermore, heavy rains in catchment areas of river basins result in water logging and flooding at late growth stages. The water hinders tillering and results in poor panicle number less than 200/m2 as against 350 /m2 of high yielding rice cultivars.
2. Rainfed lowlands with limited/excess water at transplanting and excess water at later stages: When on-set of the monsoon is delayed, transplanting delayed because the farmer has to wait for adequate rains for land preparation. Monsoon rain submerges the transplanted crop, resulting in poor stand. In some areas, the land gets inundated before transplanting and farmers generally transplant aged and tall seedlings to keep the plant parts above the water. Plant survival in deeper water depends on rise in water level and on the elongation ability and submergence tolerance of the plant. Varieties that elongate fast develop weak culms and may lodge when the water level recedes. In this situation tillering is poor and panicle per unit area are less.
3. Assured irrigated areas with excess water during crop growth due to poorly drained condition: Rice grown in the river deltaic areas of Krishna, Godavari and Indo-Gangetic rivers suffer from water stagnation even though some areas are having irrigation facilities. Heavy rains in the catchment cause flooding and stagnation in rice fields because of congested drainage or lack of drainage caused by topographically saucer-shaped land. These conditions develop during peak monsoon (July-September). The late planted crops, being at an early stage of growth, suffersfro water stagnation. In these areas, transplanting early in the season is necessary for plants to grow enough to escape submergence.

9.1 Introduction

The sources and types of chemical pollution to which freshwater systems can be exposed are many and varied. The origins of pollutants entering these systems range from those that are predominantly point sources (i.e., industrial effluents) to those that are mainly diffuse, such as agricultural run-off and acid deposition. Some of these are effectively continuous, whereas others are intermittent or episodic.

Pollutants can also be characterized by their quality: general organic loading, specific organic toxicants, inorganic toxicants, and acids. While most of the sources listed above produce mixtures of these characteristics, particular components are enhanced. Industrial effluents generally are the source of specific toxicants, but might also lead to general organic loading.

Some consideration should also be given to the types of system exposed to these pollutants. Most freshwater systems flow, but some more rapidly than others; that is, lakes and ponds have a slow throughput, the so called lentic systems whereas that for rivers and streams is rapid. Because they flow rapidly, the so-called lotic systems have been used for the transport of materials, such as removing industrial pollutants from factories and organic effluents from sewage works.

A view exists that lotic systems that depend substantially on organic inputs from terrestrial ecosystems as a basis for their economy should have the capacity for self-cleansing of at least organic pollutants. However, this perception has been challenged recently (Royal Commission on Environmental Pollution, 1992). Of course, “still” or so-called lentic waters may also be important repositories of pollutants, and are certainly exposed to diffuse inputs from agricultural land leading to eutrophication.

Thus, the challenge for aquatic ecotoxicology is to develop methods that can not only assess but also estimate the ecological impact of chemicals on a variety of complex ecosystems under diverse and complicated circumstances (e.g., periodic perturbations or steady trickles, and mixtures of varying complexity). The predictive approach is important in risk assessment used in the regulation of chemical pollutants. Assessment, at times referred to as a “retrospective approach,” is used to determine whether particular contaminants have an impact on specified natural ecosystems. This chapter reviews current methods, first predictive and then retrospective approaches, to address such problems. Initially, one must define what is to be measured, for it has relevance to both approaches.

14.1. Slope
It is a crucial topographic factor that affects water drainage, erosion and accessibility of agricultural machinery. Steep slopes increase the risk of soil erosion, and water run-off requiring erosion control measures such as contour ploughing or terracing. Slope also affects the availability of sunlight, as steeper slopes may cast shadows and influence microclimates within a field.
14.2. Altitude / Elevation
Elevation is the vertical distance of a point or location above a reference point, often mean sea level. It influences temperature, atmospheric pressure, and the types of crops that can be grown in an area. Higher altitudes generally experience cooler temperatures, which may limit the choice of crops that can thrive. Elevation affects the length of the growing season and influences the choice of appropriate crop varieties. In summary, elevation is an absolute measure of the vertical distance above a reference point (such as MSL), while it is a relative measure that describes the variation in elevation within a specific area or region. Elevation provides information about the height of a point, whereas it provides insights into the topographic features and slopes of a given agricultural landscape. Both elevation and relief are important considerations in agriculture as they influence factors such as water drainage, temperature gradients, and suitability for specific crops.
14.3. Aspect
Aspect refers to orientation of the slope (north, south, east or west). It affects the distribution of sun light; wind patterns and temperature gradients in a field. In the northern hemisphere, the north side of slope is often shaded while the southern side receives more solar radiation and heat, creating warmer microclimates and potentially influencing the choice of crops or planting strategies. Aspect can also impact the risk of frost or cold air drainage in certain regions. Whereas, in the southern hemisphere, the south side slopes get shaded and north facing slopes receive more solar radiation.
14.4. Relief
Relief refers to the variation in altitude between different points. It is a relative measure on changes in altitude across a particular landscape or agricultural area. The valley slopes are preferred sites for agriculture in mountain regions due to several reasons:
• The valley slopes offer relatively flatter terrain, making it easier for farming activities such as cultivation, irrigation and mechanization.
• The valleys tend to have better access to water resources such as rivers or streams which can be used for irrigation water.
• The valley slopes provide good sun exposure and protection from strong winds creating favourable microclimates for crop growth
• The natural drainage patterns of valleys help preventing water logging and ensure better water management.

Irrigation Efficiency
Irrigation water is an expansive input and has to be used very efficiently. The main losses that occur during irrigation of fields as conveyance, run off, seepage and deep percolation; Irrigation efficiency can be increased by reducing these losses. Uneven spreading and inadequate filling of root zone are the other causes for low irrigation efficiency. Irrigation efficiency at the field level can be increased by selecting suitable method of irrigation, adequate land preparation and engaging an efficient irrigator. At the project level, it can be increased by proper conveyance and distribution system. Irrigation efficiency is the ratio usually expressed as percent of the volume of irrigation water transpired by plants, plus that evaporate from the soil, plus that necessary to regulate the salt concentration in the soil solution and that used by plants in building plant tissue to total volume of water diverted, stored or pumped for irrigation.
Wt+Ws-RsEi=×100Wi
Where,
Ei = Irrigation efficiency (percent)
Wt = the volume of irrigation water / unit area of land transpired by plants, evaporation from the soil during the crop period.
Ws = the volume of irrigation water per unit area of land to regulate the salt Content of soil solution.

Abstract

The groundwater targeting in hard rock aquifer systems is complex, because of the heterogeneity of the aquifer systems. The ground water mobility and stability in such aquifer systems varies because of the lithology, folded structures, fracture density, geomorphology, slope etc., These occur in various permutations and combinations and control the overall water holding and conducting capacity in different parts of the aquifer systems. Hence, one needs to analyse all the data so as to understand and bring out precise spatial models on the groundwater probability in hard rock aquifer systems. In the present study, the authors have carried out GIS based appraisals to understand the relation between the lithology and groundwater movement in hard rock aquifer systems of parts of Central Tamil Nadu covering 1300 sq.km. In the said study, GIS images were generated on the maxima zones of various aquifer parameters such as water level, width of aquifer depletion, transmissivity, permeability, specific capacity, storage co-efficient, optimum yield and recovery rate. These were overlaid with the lithology GIS image. Such an analysis has shown that, in general, the fissile hornblende biotite gneiss appears to have some control over the groundwater systems.

11.1 Performance of Farm Irrigation Systems

The performance of farm irrigation systems is determined by the efficiency with which water is delivered to the field and utilized to the fullest amount possible with minimum losses due to seepage and percolation, runoff, evaporation and other operational losses. The efficiency of the irrigation system will increase if the conveyance losses, application losses and other losses are reduced to a great extent.

11.1.1 Overall Efficiency

The overall efficiency of a farm irrigation system is defined as the percent of water applied to the farm that is used for irrigation on the farm. Irrigation efficiency otherwise called as overall system efficiency is defined.

About 60 per cent of total arable land (142 million ha) in India is rain-fed, characterized by low productivity, low income, low employment with high incidence of poverty and a bulk of fragile and marginal land. Watershed development program is, therefore, considered as an effective tool for addressing many of these problems and recognized as a potential engine for agricultural growth and development in fragile and marginal rain-fed areas. The Government of India has accorded high priority to the holistic and sustainable development of rain-fed areas through the integrated watershed development program since the 7th Five Year Plan (1985-90) and since then a number of watershed programs have been specifically launched in the rain-fed areas with the sole objective to improve the livelihood of poor rural households in a sustainable manner.

10.1 Introduction

Rainwater is the main source of water for agriculture but its current use efficiency for the crop production is low ranging between 30-45%. The rising demand for water for non-agricultural uses is proportionately decreasing its share for agricultural uses. Efficient methods of water harvesting in the farm reservoirs including farm ponds and its management for subsequent uses in agriculture with improved water use technologies are vital for increasing the productivity and reducing poverty in rainfed ecosystems. It is not to be forgotten that the harvested water in the pond is a very valuable commodity. It may be used for industrial use or for irrigation in agriculture. The harvested water is also a good source to meet the water demand of domestic animals and for human beings (Fig. 10.1). The stored water of the pond can be used for fish farming, tree plantation, intensive irrigation to small area and extensive supplemental irrigation to rainfed crops. Stored water in a pond is developed resource and is, therefore, more expensive than the natural resource. Hence, there is a need to utilize it judiciously and efficiently.

In order to assess the quality characteristics of eggs the book reference values were taken for comparison

Pure water is a poor conductor of electricity. Water may carry electricity fairly well when it contains electrolytes such as Acids, bases and salts. Electrolytes in the solution dissociates with cations and anions and pass on electrical conductivity. Hence, more electrolytes concentration in water, more its electrical conductance. The following ions are crucial for adding conductivity to water.
i) Cations: Mg 2+,Ca2+, Na+ and K+
ii) Anions: Cl-, S4
-, CO3
-, HCO3
-and NO3
-
In the International System of units (SI) the reciprocal of ohm is the Siemens (S) and conductivity is reported as millisiemens per meter (mS/m). 1 mS/m = 10 µS/cm = 10 µmhos/cm and 1 µS/cm = 1 µmhos/cm Principle
The quantity and kind of ions present in a solution affect conductivity, which is a numerical representation of a water sample’s capacity to conduct electricity. Since the majority of dissolved inorganic compounds in water are ionised, they add to conductance. The definition of conductance G is the reciprocal of resistance R.

Pure water is a poor conductor of electricity. Water may carry electricity fairly well when it contains electrolytes such as Acids, bases and salts. Electrolytes in the solution dissociates with cations and anions and pass on electrical conductivity. Hence, more electrolytes concentration in water, more its electrical conductance. The following ions are crucial for adding conductivity to water.
i) Cations: Mg 2+,Ca2+, Na+ and K+
ii) Anions: Cl-, S4
-, CO3
-, HCO3
-and NO3
-
In the International System of units (SI) the reciprocal of ohm is the Siemens (S) and conductivity is reported as millisiemens per meter (mS/m). 1 mS/m = 10 µS/cm = 10 µmhos/cm and 1 µS/cm = 1 µmhos/cm Principle
The quantity and kind of ions present in a solution affect conductivity, which is a numerical representation of a water sample’s capacity to conduct electricity. Since the majority of dissolved inorganic compounds in water are ionised, they add to conductance. The definition of conductance G is the reciprocal of resistance R.

13.1. Types

Lamps: Head lamp, plough lamp, indicators

Switches: Safety switch, starter switch, etc

13.2. Components

Battery: A battery provides power to electrical or electronic circuits. The voltage rating of a battery tells how much electrical “pressure” the battery can provide. Battery energy is used to operate starter motor and to provide current to the ignition system during cranking. The electrolyte should always be maintained just below the maximum level, but should not go down below the 1/4^th level.

Alternator: Alternators are electromechanical devices used to convert mechanical energy to alternating current electrical energy. While some of the alternators use rotating magnetic field, some use linear. The functioning of alternators is similar to that of direct current generators. As the magnetic field around a conductor changes, a current is induced in the conductor. The rotating magnet or the rotor turns and cuts the field across the conductors. Thus, an electrical current is produced which causes the rotor to turn. This rotating magnetic field causes an AC voltage in the stator windings. In tractors, alternators are used to charge the battery and to power the electric system when its engine is running. An alternator is superior to a dynamo as it provides more precise output control, requires lesser maintenance, is more compact and requires no cut-out.

Electromagnetic and advanced heating technologies offer rapid and energy-efficient alternatives to conventional food processing. These systems use microwaves, radio frequency, electrical resistance, infrared radiation, lasers, photonic energy and dielectric heating to generate heat within food or directly at its surface. Faster and more uniform energy transfer can improve microbial inactivation, shorten processing time and reduce damage to nutrients and sensory characteristics. The chapter explains the principles, mechanisms, applications and nutritional effects of microwave, radio-frequency, ohmic and infrared heating. It also considers laser-based and photonic techniques. Particular attention is given to heating uniformity, product properties, equipment control, energy efficiency and the prevention of underprocessed areas.

BSTRACT

This paper discusses the various issues and concerns about the electronic information resources, which includes mainly such as e-journals, e-books and e-databases etc. In this digital era, the library should be well equipped with trendy facilities & resources within the sort of books, manuscripts, technical journals, standards, conference proceedings, theses, reports, databases, and all the electronic versions of information resources. Various issues and concerns, which are related with the electronic resources and their management is discussed in detailed in this paper.

Keywords: ICT, Electronic resources, e-journals, Electronic resource management.

Introduction 
Building on our extensive exploration of how individual weather parameters intricately influence every facet of crop life and the diverse methodologies employed to evaluate these responses, we now embark on a journey into the mathematical heart of crop science. This chapter, Elementary Crop Growth Models,” will introduce you to the foundational concepts and simpler mathematical frameworks used to quantify, simulate, and ultimately predict how crops grow under varying environmental conditions. In the upcoming sections, we’ll delve into the fundamental building blocks of crop modeling. You’ll discover how these elementary models simplify the complex biological processes occurring within a plant to create manageable, yet insightful, representations. Unlike highly detailed mechanistic models, which require vast amounts of data and computational power, elementary models focus on capturing the most essential relationships between environmental drivers (like solar radiation, temperature, and water) and key aspects of crop growth, such as biomass accumulation or phenological progression. These simpler models serve as a crucial stepping stone. They allow us to grasp core principles of crop-weather interaction in a quantifiable way, providing practical tools for initial assessments, quick predictions, and conceptual understanding, without getting lost in the overwhelming complexity of every single physiological pathway. By understanding these foundational models, you’ll gain a clearer perspective on how agricultural scientists begin to predict the future performance of our food crops, even as the climate around them continues to evolve

8.1 Design of Canal Embankments

 There are two aspects of canal embankment design.

 (i) The general requirement, such as free board, dowel, service/inspection road, drainage of banks etc. The aspect of free board is discussed in Para

8.2 to 8.3 and that of service/ inspection road in Para

 8.4 and drainage of banks in Para 8.5 in this chapter.

 (ii) Safe design of embankment i.e. Hydraulic and structural requirement.

It includes stability of inner and outer slopes, Structural safe design of inner cut slopes in deep cuttings in different types of soils/rocks of varying nature and ground water conditions. Stability of slopes may include drainage, so as to prevent rock falls/debris in canal. For outer slopes in embankment (filling sections) hydraulic gradient/pharetic line, toe drains etc, similar to the earthen dams, on different types of soil/rock foundation with respect to varying ground water level conditions are important.

The canal embankments in filling may even fail through its foundations by sloughing or liquefactions. All these aspects of canal embankments are discussed in this chapter in Para 8.4 to 8.9.

Emerging preservation technologies are being developed to meet increasing expectations for food safety, nutritional quality, sustainability and longer shelf life. Greater investigation remains necessary to understand their effects, limitations and suitability for large-scale industrial application. This chapter examines innovative physical, chemical and biological methods used at different stages of the food chain. Technologies include plasma-activated water, cold atmospheric plasma, advanced oxidation, electrolysed water, space-food preservation, hurdle systems and biopreservation. Their mechanisms involve reactive species, microbial membrane damage, oxidation, combined environmental stresses and beneficial biological agents. The chapter assesses their applications, advantages and disadvantages while highlighting research, regulation, process standardisation, equipment cost and commercial scalability.

Technology Scouting and Innovations in Technology Incubation
Technology scouting and innovations in technology incubation have a symbiotic relationship, fuelling each other for the benefit of budding startups and the broader technology ecosystem. Let’s dive deeper into their individual roles and how they interact:
Technology Scouting
Technology Scouting is the process of discovering, analyzing and evaluating new or existing technologies that will help them with their innovation process. In simple terms, it is a process for companies to find the necessary technology outside the company.
Hunting for promising technologies: Scouts actively search for emerging technologies, patents, research advancements, and market trends across various sectors.
Evaluating potential and fit: They assess the technical feasibility, market potential, and compatibility with the needs of incubators and their supported startups.
Connecting innovators and ventures: Scouts bridge the gap between technology creators (researchers, inventors, startups) and potential users (incubators, established companies).
Fuelling innovation pipelines: Technology scouting helps incubators access a wider range of technologies and ideas, enriching their portfolio and diversifying the innovations supported.

Abstract

Consumers are now more conscious about quality and source of their foods. Attempts made to determine the quality of food materials are numerous, but most of them are destructive in nature. In recent years, nondestructive methods of quality evaluation have gained momentum and a considerable attempts have been made to develop them. This paper describes application of these non-emerging technologies: magnetic resonance imaging, x-ray computer tomography, near infrared spectroscopy and a few other important techniques for determination of different quality attributes with special emphasis on grain, and discusses their pros and cons for practical exploitation.

Intelligent healthcare is advancing through the integration of multimodal data, trustworthy AI, federated learning, digital twins, IoT devices and real-time decision-support systems. This chapter reviews the evolution of healthcare-data analysis and examines emerging methods for intelligent diagnosis and predictive care. It discusses explainability, privacy-preserving analytics, interoperability, data governance and ethical frameworks necessary for responsible implementation. Wearable technologies and connected sensors support continuous monitoring, while human–AI collaboration improves clinical decision-making. Case studies illustrate practical healthcare applications and implementation strategies. The chapter also considers global-health requirements, particularly in developing countries, and identifies future opportunities for scalable, equitable, secure and clinically effective intelligent healthcare systems.

Duration: 60-75 minutes
Objective: Enhance self-awareness, empathy, and relationship management to build stronger workplace connections and leadership skills.
Why It Matters
Emotional intelligence drives effective collaboration, leadership, and conflict resolution. High EQ creates positive workplace cultures, while low EQ can lead to misunderstandings or disengagement. For example, an empathetic response to a stressed colleague builds trust, while a dismissive one erodes it. This module equips participants to manage emotions and relationships effectively.
Learning Outcomes: By the end of this module, participants will:
1. Understand the four components of EQ: self-awareness, self-regulation, empathy, relationship management.
2. Practice empathetic listening and emotional regulation.
3. Develop strategies to strengthen interpersonal relationships.
Key Concepts
1. Self-Awareness
Recognize and understand your emotions.
• Identify Triggers: Notice what sparks strong emotions (e.g., tight deadlines cause stress).
• Reflect Regularly: Journal or pause to assess your emotional state.

Teachers perform numerous instructional, administrative, assessment, and planning activities that can consume substantial amounts of professional time. Generative AI offers opportunities to reduce repetitive workload while enabling educators to devote greater attention to pedagogy, mentoring, creativity, and student relationships. This chapter examines how GenAI can empower teachers rather than replace them. AI tools can assist with lesson planning, differentiated instruction, question-bank creation, assessment rubrics, feedback generation, learning-material development, classroom analytics, and administrative documentation. Adaptive AI platforms can analyze learner performance and help teachers provide different levels of support, practice, and challenge according to individual needs. Generative AI can also expand teachers’ creative capacity by enabling the development of stories, gamified activities, simulations, multimodal resources, and inclusive learning pathways. The chapter considers teacher experiences and implementation cases, including AI-supported teacher education and multilingual content generation. At the same time, successful adoption depends on teacher AI literacy, professional development, institutional support, ethical awareness, and appropriate human oversight. The chapter presents teachers as co-creators and change agents who use AI strategically while retaining professional judgment, responsibility, and control over educational decisions.

Over the period of time, the dairy sector has added distinct significance to growing Indian economy. India contributes nearly 19.54% to the global annual milk production with an impressive upliftment of 3.6% in yearly production rate as per the latest available data from FAO International.

Introduction

Over the years, processed food industry has become the largest growing industry in the world. The convenience food industry with the state of the art technology has been proved very successful in reaching every household and have started replacing fresh and healthy foods with the processed ones (Srinivasan and Shende, 2016).

Demand for processed and convenience foods are constantly on rise and convenience food segment is rising by leaps and bounds. Changing life style, food habits, displacement of rural population to urban centres, insufficient time to prepare healthy food and changing socio economic needs have led to the industrialization of the food supply and resulted in the development of convenience foods and today a great variety of the same are available for sale to the consumer throughout the world (Tillotson, 2003).

These convenience foods are available readily, convenient, inexpensive with pleasing organoleptic quality, requires minimal or no preparation before consumption. Varieties of convenience foods which are available in the market play a prominent role in the food choice of today’s consumer, and they include frozen and canned vegetables, bakery products, soups, sauces, prepared meat and fish, chilled and frozen dairy products as well as ready to eat and shelf stable products (Tillotson, 2003).

Rapid switchover of the consumer from the traditional dining practices to fast food centres, generally feed on quick and easily made products called fast foods, often termed as unhealthy junk foods. These foods are rich in saturated fatty acids, several refined components, high carbohydrates etc., which ultimately lead to the negative impact on physical and mental health of the consumer, contributing to several chronic diseases such as cardiovascular complications, cancer, atherosclerosis, liver disease, type 11 diabetes (Veggie et al., 2018) etc.

Therefore, focussing much about the health of the consumer, there is a great need for a healthy and a balanced diet to meet the basic needs of the human body (Mendes et al 2013) with an appealing organoleptic properties and appearance.

7.1. What is Energy Conservation?

In order to protect resources for future use and to lessen environmental degradation, energy conservation refers to actions performed to limit energy use.

.2. What is Energy Efficiency?

The definition of energy efficiency is the use of less energy to carry out a task or achieve a goal. Homes, buildings, and manufacturing facilities that use less energy to manufacture things require less energy to heat, cool, and operate appliances and electronics.

13.1 Introduction

At a national level, the agricultural sector is one of the major potential users of energy in the Indian context. Further, it is often highly dependent on the supply of electricity and fuel in order to function properly. The term “agriculture” refers to all on-farm activities required for farming, raising animals, and associated activities associated with farmers, growers, and entrepreneurs. Fuels such as petroleum and electricity are primarily used for the operation of pump sets and other operations. In the future, this may result in problems with supply and price. Moreover, India has relatively small reserves of crude oil and will eventually be forced to import more crude oil to make up for the lack of reserves. In order to save energy and money on the farm, farmers must identify opportunities for energy conservation on the farm in order to maximize energy efficiency. 

Introduction

Energy Consumption is considered as the energy used to do any task in any kind of a simple domestic building to a complicated manufacturing industry. For instance, in a household, energy is consumed in the form of electricity used to run an Air Conditioner to make a room cool, gas used to cook a dish etc. In a car industry, energy is consumed in the form of electricity to manufacture a car part. In the transport sector, petrol or diesel or gasoline is used as a run a car or bike or other vehicles.

The rapid growth of Large Language Models has produced remarkable advances in artificial intelligence but has also increased computational requirements, energy consumption and environmental impact. This chapter examines the relationship between large-scale AI development, energy efficiency and sustainable computing. Modern AI models may contain billions or even trillions of parameters and require extensive datasets, powerful accelerators and energy-intensive data-centre infrastructure for training and inference. The chapter investigates the environmental consequences associated with model development, including energy consumption, carbon emissions, cooling requirements and resource utilization. It examines model-level optimization techniques such as pruning, quantization and knowledge distillation as methods for reducing computational demands. System-level approaches, including specialized hardware accelerators, energy-efficient data centres, improved cooling systems, renewable energy and intelligent workload scheduling, are also considered. The distinction between energy efficiency and broader sustainability is emphasized, with attention to metrics such as energy per inference, total energy consumption, carbon emissions and hardware lifecycle impacts. The chapter further highlights the importance of transparent sustainability reporting, green computing and governance policies. Sustainable AI development requires balancing model performance and innovation with responsible resource use and long-term environmental objectives