eChapters

Technical Knowledge (ITK) based special inputs / Techniques for plant growth

Growth of the plant has for long been believed to be due to the minerals absorbed from the soil and the food materials synthesized by the palnt. It is recognized that growth of the plant is very much regulated by certain chemical substances known as growth regulators. These substances are formed in one tissue or organ of the plant and are then transported to other sites where they produce specific effects on growth and development. These materials can be produced organically for improving plant growth.

3.1. Growth Promoting Substances

Are those organic solutions (like Panchagavya, Buttermilk & Coconut milk slurry, Amudhakaraisal) prepared using the plant and animal products, decayed fruit and other agricultural wastes. For example

Kale (Brassica oleracea L. convar. acephala (DC.) Alef.) is a representative of cole group of vegetables and cool-season cooking green somewhat similar to collard and non heading cabbage that has gained recent widespread attention due to its health-promoting, sulfur-containing phytonutrients. Kale is grown for its large foliage which is mainly used as leafy vegetable. This leafy vegetable is helpful in reducing the chances of cancer if taken regularly. Among the vegetable crops, kale is the richest source of carotenoids which is the precursor of vitamin-A. Besides, it also contains good amount of different minerals essential for human diet. There are several varieties of kale, all of which differ in taste, texture and appearance.

Climate Smart Agriculture (CSA) is an integrated approach to managing landscapes—cropland, livestock, forests, and fisheries—to address the interlinked challenges of food security, climate change adaptation, and mitigation [FAO, 2023]. In the context of the Centre on Integrated Rural Development for Asia and the Pacific (CIRDAP) Member Countries, which span diverse agro- ecological and socio-economic landscapes across South Asia, Southeast Asia, and the Pacific, CSA emerges as a pivotal strategy for fostering climate- resilient rural development [CIRDAP, 2023]. These countries, including Bangladesh, India, Indonesia, Pakistan, Vietnam, and others, face significant climate vulnerabilities such as rising temperatures, erratic rainfall, extreme weather events, and sea-level rise [IPCC, 2022]. CSA offers a framework to enhance agricultural productivity, strengthen resilience, and reduce greenhouse gas emissions, aligning with the region's Sustainable Development Goals (SDGs) and rural livelihoods improvement [UN, 2023]. The contribution of agricultural GHG emissions

In this chapter we will look at the Expert system which can guide and assist an individual once it is provided with the enough Knowledge to do so. Here we will discuss about expert system and its architecture with proper steps of making an expert system in any field by several tools which are available to do so. For expert systems the most important is Knowledge Engineering which is the collection of Knowledge from an expert and Engineering it in such a form that a machine could understand it.

Introduction

One of the pioneering fields of AI study is Expert Systems (ES). It is proposed by researchers in the computer science department of Stanford University. An expert system is a computer system which emulates a human expert’s decision-making skills. Expert systems are developed by reasoning through information structures, representing laws, rather than through traditional procedural code, in order to overcome complex problems.

Expert Programs use professional expertise systematically to address human expert problems. An expert is an individual with experience in a specific field. The expert has expertise or special credentials which most people do not learn or care about. An expert can solve or solve problems more effectively than people can solve. Expert System actually emulates all these qualities of expert and solve the problem in a better way and fast.

Today, Expert System (ES) is used in the fields of finance, research, engineering, technology, medicine and many others where there is a well-defined problem area. The fundamental principle is that an expert method should also define the steps to illustrate why a problem can be solved. Unless an individual can justify his reasoning for Expert System.

Introduction

In geographical location, the observations taken in proximity tend to be more alike than observations made at points that are far apart-that is, the values tend to be correlated. An area of study that takes this sort of spatial consideration into account is called geostatistics. A primary motivation for sampling is to make meaningful estimates of values at nearby positions in space and time. When values are assumed independent, the best estimate for an unmeasured point will be the mean. However, for correlated values nearby values are estimated by interpolation. The simplest interpolation scheme is a nearest neighbor estimate for which the unknown values are based on the closest measured location. Inverse distance is another sort of interpolation technique where weights are estimated based on the inverse distance squared. Kriging is a geostatistical interpolation technique that considers both the distance and the degree of variation between known data points when estimating values in unknown areas.

It makes the best use of existing knowledge by taking account of the way that a property varies in space through the variogram model. In its original formulation a kriged estimate at a place was simply a linear sum or weighted average of the data in its neighbourhood. Weights are based on the distance between the measured points, the prediction locations, and the overall spatial arrangement among the measured points. Since then kriging has been elaborated to tackle increasingly complex problems in mining, petroleum engineering, pollution control and abatement, and public health. The term is now generic, embracing several distinct kinds of kriging, both linear and non-linear.

6.1 Introduction

This chapter describes the development of data logger of agricultural field parameter monitoring system with LabVIEW. The system comprises of two sections- Fields device and data logger. Field device comprises of Arduino, smoke detector (for sensing hazardous gases), soil moisture sensor, temperature sensor, humidity sensor, water level sensor, battery, display unit, 2.4 GHz RF modem. Data logger comprises of Arduino, display unit, 2.4 GHz RF modem, power supply, PC with LabVIEW. The system is designed to monitor the environment and agriculture field parameters. The field device is designed to collect all physical parameters and communicate it to the receiver end with LabVIEW. For establishing communication between two sections 2.4GHz RF modem is used, which can be replaced with any other modem also.Fig.6.1 shows block diagram of field device and Fig.6.2shows block diagram of data logger.Table.6.1 & Table.6.2 shows the component list required to develop the field device and data logger.

As you deepen your understanding of aquatic ecosystems, it’s essential to recognize that the ocean and its inhabitants are not isolated entities. They are intricately linked with the atmosphere above. This chapter focuses on a fascinating and directly relevant atmospheric phenomenon for coastal environments: land and sea breezes (Fig. 9.1).
These aren’t just pleasant onshore or offshore flows of air. Land and sea breezes represent a daily cycle of wind patterns driven by the fundamental difference in how land and water absorb and release heat. This seemingly simple process has far-reaching consequences for the nearshore marine environment, influencing everything from the subtle shifts in water temperature and salinity to the crucial distribution of nutrients that underpin the entire marine food web.
For those of you who will be involved in the intricate world of aquaculture, the art and science of fishing, or the vital task of managing our precious marine resources, understanding the dynamics of land and sea breezes will provide you with a powerful lens through which to interpret the daily and localized changes within coastal aquatic ecosystems. This knowledge can inform decisions about optimal fishing times, the placement of aquaculture farms, and the potential impacts of environmental changes.

Abstract

Land degradation is defined as human induced or natural process that negatively affects the lands to function effectively. It is temporary or permanent lowering of the productive capacity of land (UNEP, 1992). Several definitions of land degradation have been suggested by different authorities to express the degree of deterioration in potential of land in terms of physical, chemical and biological aspects. It has both environmental and economic consequences. The information on land degradation is needed for a variety of purposes such as to improve productivity levels in degraded lands through reclamation programmes, rational land use planning and also to bring more areas under cultivation.

The Resource of Land
One limited natural resource is land. The resource-generating regions found in terrain forms such as hills, valleys, plains, river basins, and wetlands are essential to the livelihood of the inhabitants. An ordered combination of minerals, organic matter, living things, air, and water is called soil. The soil is bound together by grass and tree roots. Land becomes unproductive and turns into wasteland when trees are reduced in size or grasslands are overgrazed.
Land is a valuable resource because it supplies the necessary substrate for the growth of vegetation, forestry, agriculture, and other industries. Approximately 54% of India’s land is used for agriculture. Land is necessary for man to construct dwellings, cultivate food, maintain pastures for domesticated animals, create towns and cities to support industries, and develop industries to produce things.
Degradation of Land
It can be characterized as any alteration to the land that lowers its quality or condition and, consequently, its capacity for yield. It happens anytime human activity alters the natural equilibrium of the environment through abuse or overuse. The main issues with land degradation are:
• Erosion by wind
• Water erosion including large-scale hillside movement
• Salinity of dry terrain
• The salinity caused by irrigation
• Surface scorching of soil
• Logging using water

Abstract

Continental erosion and fluvial transport play an important role enhancing mobilization of organic carbon from soils and transferring this pool to the ocean through downstream rivers and streams. The Ganges-Brahmaputra river system represents one of the largest transporters of terrestrial carbon to ocean. Intensive agriculture in the Ganges basin coupled with atmospheric deposition (AD) of nitrogen may render the soil more prone to erosion loss of carbon and nutrients. The aims of this study were to quantify atmospheric deposition of nitrogen (AD-N) in the watershed and to assess the influence of land use and AD-N on carbon and nitrogen transport in Ganga River. We collected samples in summer low flow along a 1595 km long transect of the river to assess the status of DOC under variable land use and AD-N input and, at monthly intervals along a 35 km long transect to understand seasonal patterns and the influence of local control. Our study shows average deposition of reactive-N (NO₃^- + NH₄⁺) range from 19.7 kg ha^-1yr-1 in upper stretch to 38.6 kg ha-1yr-1 in the middle stretch. The AD-N in lower stretch was almost similar to the values recorded in the middle stretch of the watershed. The average concentrations of dissolved organic carbon (DOC) and dissolved inorganic nitrogen (DIN) in the river range from 0.62 to 5.3 mg L-1 and 52.0 to 385.6 µg L-1 respectively. The land-derived carbon and nitrogen emerging in surface runoff showed positive correlation with AD-N and the river DOC showed synchrony with land use, AD-N and autochthonous carbon pool. Our data indicate that DOC in Ganga River is rising and the land use together with AD-N is an important driver of rising DOC. We suggest that future climate model should consider large scale regional time series data on changing state of atmosphere-land-water coupling and associated shifts in carbon and nutrient transport of major rivers. This has relevance predicting region specific climate change drivers and preparing action plan for integrated river basin management (IRBM).

Abstract

The landslides of the hill ecosystems are either due to the natural morphotectonic and morphodynamics processes of the planet earth or due to the anthropogenic effects or due to the combinations of the both. In the Indian subcontinent, the landslides are reported from three major provinces viz: Himalayas, Westernghats and The Nilgiris. While the landslides of the Himalayas are demonstrated to be predominantly due to active tectonics, the landslides of the Westernghats are attributed to excessive weathering and rock fall. On the contrary the landslides of the Nilgiris have been thought to be due to extensive deforestation and the related increase in the pore pressure during rainy seasons. But the studies carried out in the recent years show that not only in the Nilgiris but also in other hill systems of Tamil Nadu, the landslides seem to be related to the recent earth movements. This is very significant in the context of fastly recurring seismicities in South India and hence this aspect warrants detailed studies for landslide mitigation.

INTRODUCTION

It is well accepted that the climatic changes also influence the geomorphic process efficiency and landform development (Ahamad, 1985). Glaciation, sea level changes, flooding and many other geo- environmental events are related with global and regional climatic changes along with tectonic and other non-tectonic factors like natural vegetation, soil, organic development etc. Considering the role of climate on landform development and dynamics of the Late Quaternary climate, a climato-geomorphic study was conducted on the coastal and paleo-coastal areas of the Bengal Basin namely-lower Western (West Bengal coast) and Eastern (Tripura Paleo-coastal Fold Belt Province) Geo-provences. The main objectives of the study were to investigate (i) Development of the landforms during Late Quaternary period with sea level changes and (ii) Climatological influences on the landform modifications.

Mizoram in North East India, is located between 21º58’ to 23º35’ N latitude and 92º15’ to 93º29’ E longitude, surrounded by Tripura, Assam and Manipur in North frontier regions; Bangladesh in west; and Mayanmar in east and south. The undulated topography of Mizoram, known as Lushai hills during British period, has varied altitudes ranging from 21 to 2157 m above mean sea level, annual rainfall of 2000-3200 mm, and mean monthly temperature of summer (monsoon) ranges from 14.6ºC to 29.6ºC. Besides having good rainfall; the vegetable production, including leaf vegetables, during winter period is limited by acute soil moisture stress caused by high rate of evapo-transpiration, almost no rain from November-March, non-availability of irrigation water and low water holding capacity of the sloppy land (Singh et al., 2011; Singh et al., 2013b).

As we have seen how artificial Intelligence can be useful in agriculture but the nest question always come in mind is that from where and how we can start to learn and what are the model of learning an artificial Intelligence. As Artificial Intelligence is a huge part of Computer Science which means we need an language as medium to perform it and we always prefer Python for that which is very dynamic and easy to learn. In this chapter we will learn about python basics so that in further implementation of artificial Intelligence it will be helpful to us.

I. Introduction

Python is a remarkable language that can claim to be easy and strong. You will be amazed to see how simple it is not to focus on the language you are programming, but on solving the problem. Guido van Rossum was the creator of the Python language which is named after the BBC show “Monty Python’s flying Circus”.

Python is formally introduced as:

“Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python’s elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms.”

A levee is an elongated embankment constructed along a river, stream, or floodplain boundary to prevent floodwater from entering protected land. Levees can safeguard settlements, agricultural fields, industries, roads, and public infrastructure, but they do not eliminate flooding and may transfer risk downstream or cause severe damage if overtopped or breached. Their design depends on expected flood level, freeboard, soil properties, seepage conditions, foundation stability, alignment, and available construction materials. This chapter explains levee functions, classifications, advantages, limitations, and structural components. It also addresses seepage control, slope protection, erosion, settlement, failure mechanisms, inspection, maintenance, and the importance of combining levees with forecasting and evacuation planning.

Introduction The idea of LiFE was introduced by the Prime Minister during the 26th United Nations Climate Change Conference of the Parties (COP26) in Glasgow from 31st October to 13 November 2022. The idea promotes an environmentally conscious lifestyle that focuses on ‘mindful and deliberate utilisation’ instead of ‘mindless and wasteful consumption’.(PIB India)

The LiFE Movement aims to utilise the power of collective action and nudge individuals across the world to undertake simple climate-friendly actions in their daily lives. The LiFE movement, additionally, also seeks to leverage the strength of social networks to influence social norms surrounding climate. The Mission plans to create and nurture a global network of individuals, namely ‘Pro-Planet People’ (P3), who will have a shared commitment to adopt and promote environmentally friendly lifestyles. Through the P3 community, the Mission seeks to create an ecosystem that will reinforce and enable environmentally friendly behaviours to be self-sustainable.

Light is a form of electromagnetic radiation that is visible to the human eye. It is a crucial aspect of our daily lives, and its importance extends beyond just visibility (Fig. 5.1). Light plays a vital role in various fields, including agriculture, energy, health, and more.
5.1. Properties of Light
• Wavelength: Light consists of different wavelengths, which determine its color. The visible spectrum of light includes colors ranging from approximately 380 nanometers (violet) to 780 nanometers (red).
• Intensity: Light intensity affects its brightness and energy. Higher intensity light is more energetic and can have a greater impact on various processes.
• Direction: Light travels in straight lines and can be directed or focused. This property is essential for applications like lasers, optics, and solar concentrators.

Despite the meticulous methodology and extensive analysis employed throughout this research project, it is crucial to acknowledge and address the limitations that arose during the study. By recognizing these limitations, we not only ensure a transparent evaluation of the research process but also shed light on potential areas for future investigations to refine and expand upon the findings.

In this section of the chapter, the limitations encountered in this thesis are highlighted as follows:

1. Due to the complexity of the concept, obtaining quantitative responses proved to be exceedingly challenging.

2. The development of improved scales for scoring could have enhanced the research if implemented.

3. The inclusion of a greater number of relevant variables could have provided a more comprehensive and in-depth understanding of the research topic.

4. Deploying mathematical optimization and simulations could have effectively integrated and co-integrated the seemingly disparate aspects of climate change perception, uncertainty perception, and perception of agricultural dynamics.

5. Presently, farmers are hesitant to engage in conversations and provide data to individuals outside their close social circles.

Operational agricultural meteorology is a critical field that applies meteorological knowledge and tools to support agricultural decision-making, enhance crop yields, and mitigate the impacts of weather and climate variability on agricultural systems. Effective collaboration and coordination among various stakeholders are essential for the successful application of agricultural meteorology (Fig. 12.1).
This chapter explores the linkages between key players in operational agricultural meteorology, including national meteorological services, research organizations, development departments dealing with agriculture and allied sectors, agricultural universities, and non-governmental organizations (NGOs).
Importance of Collaboration in Agricultural Meteorology
The integration of meteorological information into agricultural practices requires a multidisciplinary approach. By working together, stakeholders can ensure that weather and climate data are accurately interpreted and applied to support farmers, policymakers, and other decision-makers. Collaboration can lead to improved agricultural productivity, reduced risks associated with weather extremes, and more sustainable agricultural practices.
12.1. Key Stakeholders and Their Roles
• National Meteorological Services (NMS): Provide weather and climate data, forecasts, and warnings that are critical for agricultural planning and management.    

Livestock population meet the protein requirement of humans in addition to meeting from plants. The food chain starts from fodder crops to animals and from animals to humans. In human physiology, digestion of plant protein is much easier than animal protein, but however the digestion depends on climate (temperate climate, sub-tropical climate, tropical climate etc.,) wherein human kind live. Similar to crops, there is strong interaction between livestock and meteorological weather elements (temperature, relative humidity, wind etc.). But detailed study has not been published elaborately in scientific journals in the past. The weather elements have greater influence on livestock productivity in terms of milk, meat, skin, wool etc., pest and disease infestation and their housing needs. In this chapter how weather elements influence shed management, pest and disease problem and animals’ productivity and are discussed. In majority of the Veterinary and Animal Science University in India, they have one division on animal climatology, wherein both research and extension aspects are being attended. However, in depth research is the need of the present decade, since little works have been done in the past on animal climatology.

Irrespective of weather elements, the heat stress due to the combination of temperature and relative humidity plays important role in affecting the productivity of animals. There is a range of thermal conditions within which animals are able to maintain a relatively stable body temperature by means of behavioral and physiological means. Heat stress results from the animal’s inability to dissipate sufficient heat to maintain homeothermy (Sejian et al., 2017). High ambient temperature, relative humidity and radiant energy compromise the ability of the animals to dissipate heat. As a result, there is an increase in body temperature, which in turn initiates compensatory and adaptive mechanisms to re-establish homeothermy and homeostasis. Homeostasis refers to the tendency to maintain a balanced or constant internal state that is optimal for functioning. Animals have a specific balanced or normal body temperature. When there is a problem with the internal functioning of animal body, this temperature may increase, signaling imbalance. As a result, body attempts to solve the problem and restore homeostasis for normal body temperature. These readjustments generally referred as adaptations and this is essential for survival of the animals.