eChapters

In this Chapter the precision farming/ Agriculture is discussed along with its steps of implementation. It also includes how artificial Intelligence plays role to perform precision farming/ agriculture in various way along with its scope, limitation and challenges.

Introduction

The primary source of livelihood is agriculture in India, where two thirds of India’s population, services and the private sector account for the remainder. Agricultural land accounts for about 43 percent of the geographical area of India. In earlier days, India was largely dependent in terms of food imports, but over the years, the country’s production of grain and seeds was self-sufficient, and this effort led to the formation of the Green Revolution. In fact, there was strong effort to achieve food self-sufficiency. This trend has continued up to now and continuous improvements have occurred. Precision agriculture or precision farming means the right thing to do, in the right way, on the right place and at the right time. Precision agriculture is expected to suit the agro-climate activities to improve application precision. Farming land has declined a bit in the last 40 years but the number of farmers has increased. According to the 2010–11 Agriculture Census, a total of 138.35 million operating holdings were estimated (single farmers) and 159,59 million hectares were covered by operations.

Precision agriculture is a management technique that collects, processes and analyzes temporary, spatial and individual data and integrates this with other information in order to support management decisions based on an estimated variability to enhance efficiency of use of agricultural production resources, productivity, quality, profitability and sustainability. Precision Agriculture manages every input of crop production (fertilizer, specifically found calestone, herbicide, seeds, insecticide, etc. Reduce waste, boost income and maintain efficiency Place. Precision Agriculture adapts soil and crop management carefully to suit the different field conditions.

Agriculture sector alone uses nearly seventy per cent of fresh water in the world. Therefore, water use economy in the agriculture sector is becoming a necessity. Increasing flood production is possible reducing water used for irrigation if we can adopt precision irrigation (Fig.11.1).
The precision irrigation has to be practiced by providing water to the crop plants in its root zone to meet the water requirements. The precise irrigation can result in-
• Water saving
• Avoid weed control
• Preventing loss of water due to infiltration
• Preventing loss of water due to surface evaporation from the soil
• Minimise salinity problems
• Improving water use efficiency of crops
Traditionally farmers were practicing flood irrigation. It is a method of watering crops delivering to a field and allowing it to flow over the ground among the crops. It is a simple and inexpensive technique followed in less developed areas. Flood irrigation is not very efficient way as nearly 50 per cent of the water applied in the field will be lost through run-off, soil evaporation and other factors. Flood irrigation is only suitable in wet climates and not effective in sandy soils. It leads to water logging in clay soils. There are several types of flood irrigation such as basin, border, furrow and contour irrigation. Although flood irrigation is not very efficient, the water wastage can be avoided to some extent using some techniques

Abstract
 
The definition of what drought is and what drought is not, has profound implications for the environment and all segments of society, yet it may be different for each. Many attempts have been made to develop a comprehensive and meaningful definition. A generic definition provides a starting point:  Drought is a persistent and abnormal moisture deficiency having adverse impacts on vegetation, animals, and people. The public perceives “drought” as a serious departure from normal water conditions, a departure that requires a public response to reduce negative impacts. About two thirds of the geographic area of India receives low rainfall (less than 1000 mm), which is also characterized by uneven and erratic distributions.

Abstract

Gastrointestinal parasitic infections particularly Haemonchus contortus infection in goats is very common and found as major nematode infections in farm condition. To chalk out the control programme and to prevent the initiation of anthelmintic resistant parasites, it is essential to know well in advance the prevalence of H. contortus infection. During the year 2009, a study was undertaken on H. contortus infection in the goat farm of ICAR Research Complex for NEH Region, Umiam, Meghalaya, which is a subtropical hill area and bioclimatograph was prepared to predict the prevalence of H. contortus infection in goats of this area. Meteorological data of this area was collected to visualize the effect of temperature, rainfall and humidity. Bioclimatographs were prepared in which total rainfall (TRF) or relative humidity (RH) is plotted against the maximum temperature (T-max) or minimum temperature (T-min) for the months and the resultant points are joined by a closed curve. The lines constituted the windows on these bioclimatographs, indicating the limit of the climatic conditions most suitable for development and survival of exogenous stages of gastrointestinal nematodes.

Preparation of base map being in mind, the forest, agriculture, water, road and boundary are almost same for all but theme may be different as per requirement. Base information is to survey and need terrain information, the preparation includes land forms by separation of water, kart area, coastal area. Meanwhile preparation of focus might be on DEM (Digital Elevation Model) and water movement helps in demarcation of boundaries on map.

Probability analysis measures the likelihood of uncertain climatic and agricultural events. It is particularly useful for assessing rainfall occurrence, drought, floods, heatwaves, cold events and other risks that cannot be predicted with complete certainty. This chapter introduces classical, empirical, subjective and conditional probability, probability distributions, return periods and recurrence analysis. It explains how historical climatic records can estimate the likelihood and severity of future events. These methods assist in crop selection, sowing decisions, irrigation planning, infrastructure design and weather-risk management. By converting uncertainty into measurable probabilities, the chapter provides a scientific basis for climate-informed agricultural planning, disaster preparedness and development of resilient farming systems.

Abstract

An attempt has been made in this paper to study probability model for modeling of spell distribution & Weather Cycles during the monsoon period (June to September) at Cochbehar, West Bengal. The daily rainfall data of 31 years (1970 to 2000), recorded at Cochbehar have been analyzed. In this study, it was found that daily rainfall during monsoon period follows Markov Chain model. Markov dependent truncated geometric distribution model is best fitted for studying the Dry spells, Wet spells & Weather Cycles during the monsoon period.

4.1 Introduction
Companies that produce tangible items or offer services must drastically increase their productivity in order to maintain their operations in the face of intensifying global competition. A single quantum jump productivity enhancement technique or multiple concurrent incremental improvement productivity strategies can both be used to achieve this goal. If a business chooses the second choice, integrating various tactics for a significant increase in the total productivity would be quite difficult. The first alternative, a single productivity improvement plan, will make it possible for the business to increase productivity with the same or greater success. The only difficulty with this strategy is locating the probable problem area and then using process improvement techniques to achieve the anticipated dramatic increase in productivity. Business process reengineering refers to any significant adjustment of business processes that results in a dramatic increase in an organization’s productivity. Price, quality, after-sales support, adherence to delivery schedules, technological breakthroughs, etc. are some elements that influence market competition. Therefore, the business should focus its efforts on each of these areas in order to achieve notable improvements in terms of decreased operating costs and higher sales revenue from the sale of its goods and services to clients. Improved pricing for a company’s goods or services can provide it an advantage over competitions. Applying various cost-cutting strategies to lower variable costs and overhead costs will lower the price of the good or service. The other elements, viz. quality, after-sales support, delivery schedule adherence, and technological advancements are all directed in this direction

Let‘s dive deeper into the processes of condensation and explore each in more detail:
• Adiabatic Processes: Adiabatic cooling occurs when air rises and expands, reducing its temperature (Fig. 9.1). This process can lead to condensation and cloud formation. There are several ways air can rise and cool adiabatically:
• Orographic Lift: When air is forced to rise over a mountain or hill, it cools, and condensation occurs, resulting in clouds and precipitation. This is why mountainous regions often experience more rainfall than surrounding are as.
• Frontal Lift: When two air masses with different temperatures and humidity levels meet, the warmer air is forced to rise, cool,
and condense, forming clouds and precipitation. This can lead to significant weather changes, such as the formation of fronts and lowpressure systems.
• Convection: When the sun heats the ground, it warms the air closest to the surface, causing it to rise and cool, leading to condensation and cloud formation. This process can lead to the development of cumulus clouds, thunderstorms, and other types of convective weather.

Let’s dive deeper into the processes of condensation and explore each in more detail:
• Adiabatic Processes: Adiabatic cooling occurs when air rises and expands, reducing its temperature (Fig. 10.1). This process can lead to condensation and cloud formation. There are several ways air can rise and cool adiabatically:
• Orographic Lift: When air is forced to rise over a mountain or hill, it cools, and condensation occurs, resulting in clouds and precipitation. This is why mountainous regions often experience more rainfall than surrounding are as.
• Frontal Lift: When two air masses with different temperatures and humidity levels meet, the warmer air is forced to rise, cool,
and condense, forming clouds and precipitation. This can lead to significant weather changes, such as the formation of fronts and lowpressure systems.
• Convection: When the sun heats the ground, it warms the air closest to the surface, causing it to rise and cool, leading to condensation and cloud formation. This process can lead to the development of cumulus clouds, thunderstorms, and other types of convective weather.
• Non-Adiabatic Processes: Non-adiabatic cooling occurs when air cools without rising. There are several ways this can happen:
• Radiation Cooling: When the ground rapidly loses heat by radiation, the air above it cools, and condensation occurs, forming dew, frost, or fog. This process typically occurs overnight, especially in clear skies and calm conditions.

Introduction

GIS (Geographical Information System) based mapping takes cogence of three major geometrical dimensions, point, line and polygons and in GIS these three features correlate their relationship through a concept called Topology. Among the various applications where covariate processing requires specific attention, the landuse/ land cover and Digital Elevation Models/surfaces or terrains are the major area of interest. Use and processing of data for these covariates carries importance as accuracy of both these aspects would influence the derivatives extracted out of them further. For example, if landuse is improperly defined, the site for which planning is proposed may not sustain, similarly, point data/elevation data in case of DEMs would decide the exact topography of any landforms for their further utilization. For their use in GIS, while DEMs depend upon point data, the landuse/ land cover will be taken care by polygons. For the purpose of the study, we are going to discuss about these two covariates in the following paragraphs.

Generally, Covariate (covariable) (koh-vair-iãt) in statistics is defined as a continuous variable that is not part of the main experimental manipulation but has an effect on the dependent variable. In other words, as per ANCOVA (Analysis of covariance) definition: a covariate is a control variable.

Introduction
The sun is the primary source of energy for all life on Earth. The primary energy source for the majority of ecosystems is limited to this one. Photosynthesis is performed by green plants, certain types of algae, and microorganisms. They utilize solar energy to fuel chemical reactions that combine basic inorganic components to create intricate organic chemicals. Elements undergo a cyclical process as they move through the different compartments of an ecosystem.
Photosynthesis is the process by which solar energy is captured and transformed into food in the form of chemical energy. Food comprises fundamental elements such as carbon, hydrogen, nitrogen, and other necessary elements, along with stored energy. The components present in the food undergo recycling. The flow of energy and nutrients begins with the producers, then moves to the consumers, and ultimately returns to the producers through the activity of decomposers. Energy, in contrast to materials, is not subject to recycling. Food traverses the food web, resulting in energy dissipation. Typically, just a mere 10% of the energy accumulated in a certain trophic
level, such as the producers, is effectively passed on to the subsequent trophic level, such as the herbivores. This is referred to as the energy pyramid. Ultimately, the energy available in the trophic level becomes so depleted that it cannot sustain any higher trophic levels. Consequently, the presence of fourth order consumers in any ecosystem is extremely rare.
The biotic component, often known as the life component of the environment, encompasses a diverse array of plants, animals, and bacteria, which form interconnected communities.

Climate refers to the long-term pattern of temperature, rainfall, humidity, wind and other weather parameters within a geographical region. Human activities such as industrialization, urbanization, deforestation, land-use change and intensive agriculture have accelerated climate change by increasing greenhouse-gas emissions. Rising temperatures, irregular monsoon rainfall, droughts, floods, cyclones and elevated atmospheric carbon dioxide now affect crop growth, development and productivity. Different crops and developmental stages vary in their tolerance to these stresses. Consequently, farmers are modifying cropping patterns, sowing periods and crop choices. This chapter examines the effects of changing climatic conditions on major agricultural crops and identifies suitable adaptation and mitigation measures.

Horticultural crops include fruits, vegetables, flowers, plantation crops, spices, aromatic plants and medicinal species. They contribute substantially to nutrition, farm income, employment, exports and livelihood security. However, their productivity and quality are highly sensitive to temperature, rainfall, humidity, drought, flooding, salinity and other climate-related stresses. Changing climatic conditions affect flowering, fruit setting, maturity, nutritional composition, pest incidence and postharvest quality. Annual and perennial crops respond differently depending on their location, growth stage and environmental requirements. This chapter examines the influence of major climatic factors on horticultural production and discusses adaptive practices required to maintain productivity, quality and economic sustainability under changing environmental conditions.

Introduction

Precision farming, also known as precision agriculture, prescription farming, and site-specific farming, is grounded on the principle of managing fields based on their heterogeneity (Nowak 2021). In the past, crop management decisions were made for the entire field, treating it as a homogenous unit, despite significant variations in soil characteristics, weed infestations, and plant growth within a field (Nowak 2021). Precision agriculture integrates modern technology with past experience to manage farming on a grid-by-grid basis (Nowak 2021).

Climate change is a complex and dynamic phenomenon that has significant impacts on agriculture, especially in terms of uncertainty and variability. Agricultural dynamics refer to the various factors that affect agricultural production, including climate, soil, water availability, pests, and diseases, as well as market forces and government policies. Climate change has significant impacts on agricultural dynamics. Variations in temperature, patterns of rainfall, and occurrences of extreme weather can influence crop yields and livestock production in both beneficial and detrimental ways (UCAR, 2021). The effects of climate change on farming can differ based on the geographical location and the specific agricultural practices employed (Wikipedia Contributors, 2019). For example, in some areas, increased rainfall may lead to increased crop yields, while in other areas, droughts may lead to crop failures and loss of income for farmers. Additionally, rising temperatures can cause reduced crop yields and decreased quality of some crops.

Uncertainty is a term used to describe a situation where there is a lack of information, knowledge, or predictability about a particular outcome or event. In agricultural dynamics, uncertainty can refer to a range of factors that can affect the production, distribution, and consumption of agricultural products. One of the most significant sources of uncertainty in agriculture is the weather. The productivity of crops can be significantly influenced by weather conditions, including rainfall and temperature and farmers need to effectively adjust their agricultural practices to adapt to these changing weather patterns (Guntukulaand Goyari, 2020). For example, droughts or floods can reduce crop yields, while frost or hail can damage crops(Lamaoui et al., 2018).

The atmosphere near Earth’s surface, often referred to as the boundary layer, exhibits unique properties influenced by the interaction between the surface and the atmosphere. These properties are crucial for understanding weather patterns, climate, and various environmental processes. Ancient Indians use to worship five natural elements i.e. earth, water, air, energy and the sky. Perhaps they were aware of the interactive effects and processes between these 5 elements that govern life on earth. In a sense, meteorology itself is a science based on interactive effects of these natural elements. Microclimatology is all about the effect of the interactions between these 5 elements on life over the earth. For a beginner of microclimatology, it is important to understand the properties of the atmosphere near the earth’s surface and get familiar with the concept and terminology used to describe/quantify the physical processes taking place between the lower layers of the atmosphere and the earth’s surface.
2.1. Energy
The major source of energy in the earth atmosphere system is solar energy (Fig.2.1). The outer surface of the sun is very hot and its temperature is estimated to be around 6000°Kelvin (symbol K).
The Kelvin is the base unit of temperature in the international system of units (SI). The Kelvin scale is the absolute temperature scale that begins at the lowest possible temperature that can be attained (absolute zero) taken as 0 degree K. The magnitude or value of each degree of temperature in the Centigrade scale and Kelvin scale is same. The temperature measured in centigrade scale can be converted to Kelvin scale by adding 273.15. The sun emits heat energy in the form of solar radiation. As the solar radiation passes through the atmosphere, it gets partly depleted before reaching the earth’s surface. The processes through which the solar radiation gets depleted in the

1. Introduction
The environment and human health are seriously threatened by contaminants,both organic and inorganic, whose prevalence and persistence have beensteadily rising in recent years. In addition to propelling economic and scientificadvancement, the industrial revolutions of the 19th and 20th centuries have alsoled to widespread pollution (Wuana & Okieimen, 2011; Singh et al., 2013).Industrial activity has increased trace metal concentrations in the environment,with sediments acting as key sources and reservoirs for heavy metals. Thesemetals build up in soils and aquatic bodies as a result of scouring, erosion,rainfallleaching, wastewater discharge, and atmospheric deposition (AlonsoCastillo et al., 2013). Additionally, toxic contaminants like phenols, industrialeffluents, domestic wastewater, agricultural runoff, fly ash, fertilizers, andwaste from insecticides, pesticides, and pharmaceutical industries infiltratethe environment and food chain via mechanisms such as bioaccumulation,biomagnification, and bioconcentration (Arora & Bae, 2014; Azubuike et al.,2016).

India is endowed with diverse agro- climatic conditions which facilitate to cultivate various horticultural crops all through the year in one part of the country or others, but the quality of fruits under open field conditions particularly in high value crops (vegetables & flowers) by and large fall short of domestic and international markets standards. Some time there no guarantee of consistent production of from open cultivation, as the crop is exposed to number of environmental factors that changes frequently. Hence it is imperative to increase the productivity and quality of produce to meet the demand of quality conscious consumers. A break through in production technology that integrates market driven quality parameters with the production system simultaneously ensuring a vertical growth is warranted. In this context, most important technology is the Controlled Environment Agriculture (CEA) i.e. Protected Cultivated Technology (PCTs) such as greenhouse, net house, glasshouse and low tunnel. “Protected cultivation” means modification of plant environment to achieve optimum plant growth avoiding the harmful effect of climatic factors.