eChapters

The green revolution enhanced the food grain production by increasing  productivity of the arable crops as the only means of expanding output. The impact of this ‘revolution’ was first realized especially in the north Indian states of Punjab, Haryana, and western Uttar Pradesh. Since the new technology was based on use of seeds of high yielding varieties, increased use of irrigation and chemical fertilizers, pesticides and farm mechanization; the incremental gains in productivity of late began to end and food production started stagnating, and in many places it even acquired a decreasing trend. It is well accepted fact that ‘success always has its costs and green revolution has been no exception’. Critics of green revolution point to the environmental and health hazards due to increased use of agro-chemicals and the vulnerabilities that is there due to the spread of monocultures in which indigenous land races have been ignored and least emphasis was given on cropping systems based on crop diversification.

Indian agriculture is characterized by small farm holdings. The average farm size was only 1.21 hectares during 2005-10 and it would be 0.68 ha by 2030. Around 85% of farmers have land holdings smaller than 2 ha and they cultivate nearly 60% of the available land. The contribution of agriculture sector to the total (GDP) has decline from 38% in 1980 to 29% in 2000 and 15% in 2010-11. The per capita availability of land was 0.15 ha in 1999-2000, which will reduce to 0.11 ha by 2020. As per estimates, India would require about 345 million tones of food grains for feeding about 1.5 billion populations by the year 2020. Approximately 90% of total farm holdings are categorized as small and marginal. There is hardly any scope of horizontal area expansion. The situation is, further, aggravated due to globalization of market and trade relaxations, which call for competitiveness and efficient agricultural production system to face never challenges on the ecological, climatic, equity, social justice and employment front. In areas, endowed with adequate irrigation resources, short duration pulses, oilseeds and other high value crops will find their definite niche as sequential or intercrops, rather than replacing the major cereal crops having higher yield potential combined with high stability. Hence, an increased cropping intensity will contribute substantially to additional demands of food and cash crops.

Abstract

Crop diversity play important role of sustainable development. A study on crop diversity in Andhra Pradesh was conducted during 2010-2011. In Andhra Pradesh, cultivated crop plant species resulted in augmentation of 140 species belonging to 132 genera and 46 families. The maximum species strength was observed in the Rayalaseema region (127 species belonging to 120 genera and 43 families), followed by Telangana region (125 species belonging to 114 genera and 43 families) and parts of Coastal Andhra region (118 species belonging to 103 genera and 46 families). Species richness was predominant in cultivated crops like vegetable crops (31 species belonging 25 genera and 12 families), Fruit crops (25 species belonging 18 genera and 14 families), commercial crops (23 species belonging 23 genera and 15 families) and Leafy vegetables (12 species belonging 12 genera and 8 families). The maximum species richness in families was found in Fabaceae (16 genera and 19 species), followed by Poaceae (14 genera and 16 species), Cucurbitaceae (11 genera and 14 species), Asteraceae (7 genera and 7 species) and Apiaceae (5 genera and 5 species). The present and the past similar studies observed that many more native species remain in agriculture than previously thought, under the right conditions. There is a need to establish mechanisms of control on introduction of exotic species in natural habitats. We also need to strengthen the legislation on the use of biodiversity and to establish a research programme of the economic potential of local flora and fauna as an alternative to introduction of exotic species to safeguard our traditional crop diversity.

ABSTRACT

Greenseeker is a handheld computer mounted sensor for observing normalized difference vegetation Index [NDVI= (NIR “R)/(NIR+R)], which may be used to estimate site specific amount of fertilizer nitrogen depending up on the crop condition. The sensor can be used for yield estimation and developing remote sensing based growth models. It is an active sensor with a built in light source for illuminating the target and records reflected light from vegetation at wavelength of 670 nm (red region) and 780 nm (near infrared region) of electromagnetic spectrum. The swath covered by the Sensor is 0.75 m when sensor is placed about 1.0 m above crop canopy.

The sensor was used to record NDVI in wheat- sugarcane intercropping system wherein wheat was grown on raised beds of 1.04 m width with six rows of wheat and sugarcane in furrows at row spacing of 1.38 m. The wheat variety PBW 343 was sown with nitrogen levels @ 0, 30, 60, 90, 120, 150, 180 and 210 kg N ha^-1 (all basal) and sugarcane variety CoSe 92423 was planted in furrows on 7^th November, 2006 in a medium textured loam soil.

The NDVI was recorded in wheat at 17, 41, 59, 73, 88, 113 and 129 DAS using Greenseeker and Spectroradiometer (UNISPEC ^TM of PP system, USA) simulating normal satellite bands i.e.

NIR: 770-860 nm, Red: 620-680 nm, Green: 520-580 nm. The maximum NDVI (recorded at 88 DAS) was used to develop INSEY “ yield relationship in wheat. The NDVI recorded by Greenseeker was integrated with NDVI recorded by Spectroradiometer.

The Greenseeker was also used to monitor crop growth in sugarcane. The NDVI was correlated with shoot population, plant height, LAI and total biomass during formative and crop elongation phase of sugarcane till end of November 2007. Highly significant (at 1%) correlation was observed between GS- NDVI and shoot population till mid August and LAI in sugarcane for entire crop cycle. An exponential model (R² = 0.9017) was developed to estimate LAI of sugarcane from NDVI. The NDVI was significantly (at 5 %) was correlated with plant height till mid August. However, the correlation between total crop biomass in sugarcane and NDVI remained non-significant.

Abstract

This paper portray the generation of spectral signature library for semi arid area crops using hyperspectral data and the scope of the application of the generated digital library for the classification of the satellite imagery of similar regions.

Hypersprctral data have narrow bands which help to provide additional information related to observed features. In case of this agriculture study crop related information are gathered using hyperspectral sensors The variation in the observations are due to physic-chemical characteristics such as biochemical composition, physical structure, water content and plant ecophysical status. Using the hand held spectroradiometer the reflectance is captured for the bajra, moong, moth crops from the Rajasthan, India’s semi arid region. The observations have been taken for different dates considering the phenology of the crops. Hyperion data from EO-1 satellite have been used to implement the classification operation based on the spectral signature library of bajra. It is observed that the image with the crops can be classified according to the phenology difference.

3.1. INTRODUCTION TO PLANT BREEDING

What is Plant Breeding?: Plant breeding is an art and science which deals with changing genotypes of the plants, to adapt them to the service of human being. (or) The application of genetic and cytogenetics principles in crop improvement are called plant breeding.

Specific objectives of plant breeding: The main objectives of the plant breeding is to improve the characteristics of crop plants which are agronomically and economically desirable

7.1. Crop insurance

Helps in stabilization of farm production and income of farming community.

Helps in optimal allocation of resources in production process.

Crop insurance is sold and bought in a market.

Has a limited role in risk management in farming.

Any limitations to scope for effective and economic crop insurance can change over time.

Abstract
Crop management and improvement are central to advancing agricultural productivity and sustainability. This comprehensive chapter delves into the strategies and techniques used in modern crop management and the ongoing innovations driving crop improvement. Covering topics such as crop rotation, soil management, pest and disease control, and the application of biotechnology, the chapter provides a detailed analysis of how these practices contribute to higher yields, enhanced quality, and environmental sustainability. The discussion also explores the role of precision agriculture, breeding technologies, and genetic modification in addressing the challenges posed by climate change, resource limitations, and changing market demands. By examining the latest advancements and best practices, this chapter offers
valuable insights into the future of crop management and improvement.
Keywords: Crop management, crop improvement, crop rotation, soil management, pest control, disease management, biotechnology, precision agriculture, genetic modification, sustainable agriculture.

With the current food production level of 275.11 million tonnes, India has to step up food grain production by next decade to feed the burgeoning population (Report Ministry of Agriculture). India with 2.3% of the global geographical area, supports about 16.8% human population, 20% of the world’s livestock. However, per capita availability of land for producing agricultural commodities has declined from 0.34 ha in 1951 to about 0.23 ha in 1980 and 0.15 ha in 0.15 ha during 2015 and it is expected to decline further to about 0.09 ha by 2050 A.D. With the possibility of horizontal expansion or putting more land under cultivation being remote, further augmentation in yield in Indian agriculture will be forced more and more into marginal or problematic soils accompany about 57% geographical area with increasing competition for good quality lands.

Problem soils are an important ecological entity of arid, semiarid or humid climate of our country. In India saline and sodic soils are serious threat to produce enough food grains for growing population. The other main problem is acid and acid sulphate soil, spread in one third of cultivated land.

Problem soils are either deficient in plant nutrients or the nutrient availability is inhibited by the antagonistic effect of the nutrient element present in excessive amounts as soluble or exchangeable ions.

The problematic areas for crop production may be soils affected with acidity, high concentration of salts, water logged soils or soils in steep sloppy areas. These soils have limitations or ill effects for crop growth and productivity.

The subject on micrometeorology deals with small scale meteorology of near ground surface with its related elements of both physical and biological processes. When this micrometeorology is integrated for crop production purposes, then it becomes crop micrometeorology, which is very important in the science of agricultural climatology. This crop micrometeorology gets varied with the architecture of the crops grown, available soil moisture, agronomical practices followed, soil texture, topography of the area, the nature of climate and weather that prevails etc. The soil surface heat, exerts a profound frictional effect on wind movements and hence it is different from the air layers at higher levels. These special features constitute the microclimate, which is modified compared to a flat bare surface by factors like topography, nature of soil surface, presence of vegetation and type of vegetative cover. The presence of crop canopy leads to distinct differences in the thermal and humidity regimes of the soil, the air layers immediately above it and the distribution of radiation and wind profiles inside the canopy. The study on the physical exchanges of the transfer of heat, momentum and moisture in the microclimatic region is called as micrometeorology (Venkataraman and Krishnan, 1992).

Radha Krishna Murthy (2002) reported that the micrometeorology is the micro scale of both the physical and meteorological factors that are taking place within the ecosphere. The ecosphere means the area between just above the crop canopy and just below the root zone of a crop. Further he was on the opinion that the microclimate of valley is important as compared to the entire climate of the mountain for the bio-life of valley. For the crops purpose, the microclimate is the climate of the ground surface to top of the crop canopy or otherwise it can be called as crop’s climate, a modified one from the Stevenson’s Screen climate/weather observation.

Introduction

Crop modeling in agriculture involves utilising quantitative data on eco physiological processes to forecast plant growth and development, leveraging environmental conditions and management inputs. These models simulate how crops respond whether in terms of growth, yield, or other factors to a dynamic interplay of elements like management practices, water, weather, and soil parameters throughout a growing season. They serve as computational tools emulating the intricate growth patterns of crops by mathematically representing various facets within the cropping system (Nath et al., 2023). The roots of crop modeling trace back to the 1960s, when researchers began integrating physical and biological principles to model agricultural systems. These models heavily rely on measurable inputs, obtained via sensors, machinery, or manual measurements, to predict desired outputs such as plant growth, crop yield, soil nitrogen levels, or crop staging.

Crop Modeling

Crop modeling involves the creation of mathematical or computational models that represent the growth, development, and yield of crops. These models are based on scientific principles and empirical data, aiming to simulate and predict various aspects of crop behaviour under specific conditions. The primary purpose of crop modeling is to provide a theoretical framework for understanding and predicting crop responses to environmental factors, management practices, and genetic variations.

Introduction 
The preceding chapter introduced the foundational concept of the systems approach, emphasizing the interconnectedness of components within complex entities and the power of simulation to understand their dynamic behavior. Building upon this understanding, This chapter delves into one of the most vital applications of system simulation in agriculture: crop models. These sophisticated computational tools stand as the cornerstone for quantitatively representing the intricate interplay between the soil, the plant, and the atmosphere, providing a dynamic lens through which to examine agricultural productivity and resource use efficiency. Crop models are essentially mathematical descriptions that mimic the growth, development, and yield of agricultural crops under various environmental conditions and management practices. They encapsulate our scientific understanding of how plants absorb light, water, and nutrients, how they convert these resources into biomass, and how they respond to stresses like drought, heat, or nutrient deficiency. Far from being mere statistical regressions, these are often process-based models, meaning they attempt to simulate the underlying biological, physical, and chemical mechanisms that govern crop performance. By integrating knowledge from disciplines such as plant physiology, soil science, meteorology, and agronomy, crop models provide a holistic and dynamic representation of the entire agricultural system. The evolution of crop modeling has mirrored advancements in computational power and scientific understanding. From early empirical models that relied heavily on statistical relationships between yield and a few environmental factors, the field has progressed to complex mechanistic models that simulate detailed physiological processes on a daily or even hourly basis. This evolution has transformed crop models from purely research-oriented tools into powerful instruments for real-world decision-making. Their ability to conduct virtual experiments—simulating hundreds or thousands of growing seasons

Crop nutrition / plant nutrition refers to the inter relationships of mineral elements in the soil and their role in plant growth and development. This inter relationship involves a complex balance of mineral elements essential and beneficial for optimum plant growth.

Plants require certain element for their growth and development. There are about 60 chemical elements present in the plant and it doesn’t mean that all are essential for normal growth and development.

Arnon and Stout (1939) proposed criterion of essentiality. Which were refined by Arnon (1954) and are popularly known as Arnon’s criteria of essentiality. They are:

Criterion for essentiality of plant nutrients

Arnon’s (1954) criteria for essentiality of elements for plant growth:

1. The plant must be unable to grow normally or complete its life cycle in the absence of the element,

2. The element is specific and cannot be replaced by another and,

3. The element plays a direct role in metabolism.

6.1. PLANT WATER AND MINERAL NUTRITION

Plant water

Water form the major constituent of living (cells) things and the cells originated in a highly aqueous medium and all the vital processes of the life are carried out in it. Besides, water predominately acts as a source of hydrogen to plants and is released by the photolys is of water during photosynthesis.

In living tissue, water is the medium for many biochemical reactions and extraction process. Inorganic nutrients, photosynthesis, bases and hormones are all transported in aqueous solution. Soil nutrients are available to plant roots only when it get dissolved in water. It is essential for life and plays a unique role in virtually all biological process.

Water absorption

Plants absorbed water through root hairs which are in contact with soil water and form a root hair zone a little behind the root tips.Root hairs are tubular hair like prolongations of the cells of the epidermal layer of the roots. When roots elongate, the older root hairs die and new root hairs are developed so that they are in contact with fresh supplies of water in the soil.

Mechanism of water absorption

1. Active absorption of water : In this process the root cells play active role in the absorption of water and metabolic energy released through respiration is consumed active absorption may be of two kinds.

Introduction

Research accomplishments on mentioned findings showed that the quality of community voice like access is familiarized for agricultural revamp index that adapted the charge to findings at the lower like as the antecedence to analyze a number of deficiencies of complete analysis works in a specific area. Firstly, the accomplishments arise to be alloyed and diverse. Secondly, with the agricultural achievement of a span afflict decidedly by its natural, institutional and technological characteristics (which alter broadly an allocation of states), absolute analysis absorption abundantly at the accompaniment like and the change of basal up and micro-level planning emphasizing the issue. Thirdly, there is an absence of studies on agricultural achievement at the disaggregate like in the accompaniment excepting a few that does put up with are bedfast to the community set up and are based on an actual leap amount of variables accouterment periods up to the original since the year 2000. Besides a lot of changes in agriculture pattern, irrigation coverage, agriculture intensity, fertilizer consumption, boilerplate measurement of operational backing and allotment of agricultural workers accept taken abode in agriculture during the contemporary years. These changes knowledge accept afflict the agricultural achievement of districts abnormally and causeless to say they could not accept been grasped in the absolute studies. There is appropriately a charge for advantageous these analysis gaps and adorning the absolute literature. The present findings are an apprehensive advance in the management and administration to apperceive of the ITKs attainable and its role in alteration over agricultural production. In adjustment to access the acknowledgment of the farmers apropos the ITKs uses in agriculture, the analysis agenda developed with a proforma that accomplished in advised and basic villages in altered agro-ecological regions through the activity centers. Farmers’ social contact and acceptance of ITKs practices were attempted in the findings and recorded for an all-important symbol the abstracts to quantify the ITKs role in present-day agriculture.

Introduction 
The preceding chapter elucidated the concepts of potential and achievable crop production, highlighting the significant gap that often exists between a crop‘s theoretical maximum yield and what is realized in the field. While genetic potential and optimal climatic conditions define the upper limits, the vast majority of agricultural systems globally operate under less-than-ideal circumstances. Among the most pervasive and impactful constraints on crop productivity are moisture (water) and nutrient limitations. These two factors, either individually or in complex interaction, are frequently the primary drivers of the yield gap, preventing crops from expressing their full genetic potential and significantly impacting farm profitability and regional food security. Water, as the universal solvent and a direct participant in photosynthesis and countless metabolic processes, is indispensable for plant life. However, its availability in agricultural systems is highly variable and often insufficient. From the rainfed fields dependent on increasingly erratic rainfall patterns to irrigated lands facing dwindling water resources, moisture stress – encompassing both drought and, paradoxically, waterlogging – poses an immense challenge. Drought alone accounts for a substantial portion of global crop losses, directly affecting plant physiological functions, growth, and ultimately, yield. Conversely, excessive moisture can lead to anaerobic soil conditions, nutrient leaching, and root damage, equally debilitating for crop performance. Parallel to moisture, the availability and judicious management of essential plant nutrients are foundational to productive agriculture. Plants require a suite of macro- and micronutrients for healthy growth, enzymatic activity, and the synthesis of biomass. Soils, over time and with continuous cropping, often become depleted of these vital elements, necessitating external application through fertilizers or the enhancement of natural nutrient cycling processes. However, nutrient management in the field is rarely perfect. Deficiencies of