eChapters

Introduction

An revolutionary method of agricultural management, precision agriculture (or precision farming) optimises each step of the farming process using data-driven tactics and cutting-edge technology. By adapting agricultural methods to the unique requirements of each field—or even just a tiny portion of a field—precision agriculture aims to increase efficiency, decrease resource waste, and boost crop yields. To accurately monitor and control aspects including soil conditions, crop health, and environmental variables, this technique integrates technologies like as GPS technology, remote sensing, IoT devices, and data analytics.

13.1 INTRODUCTION

The hot arid regions are spread over about 31.7 million ha area mainly in the States of Rajasthan, Gujarat, Andhra Pradesh, Punjab and Haryana, which inhabit on an average 61 persons per square km making up a home for population of nearly 20 million people. The Indian arid zone is characterized by high temperature and low and variable precipitation which limit the scope for high horticultural productivity. However, these conditions greatly favour development of high quality production of fruits such as date palm, ber, pomegranate, citrus, aonla, bael, grapes, guava and vegetables such as cucurbitaceous crops, spices and some medicinal plants. The optimized technologies and inputs could increase the existing low productivity. It is now realized that there is a limited scope for quantum jump in fruit and vegetable production in the traditional production areas. The amelioration of the extreme conditions is also considered vital for life support to the inhabitants of this area. The recent awareness regarding the potential of these ecologically fragile lands for production of quality horticultural produce has not only opened up scope for providing economic sustenance for the people of this region, but also for bringing new areas to increase production through horticulture.

The arid horticultural crops have developed and/or modified to perform certain vital physiological functions even under stress. Strong deep root system (ber, bael, aonla, wood apple, jamun, etc.), moisture synchronous flowering and fruit development (ker, lasora, aonla, pilu, etc.) and other xerophytic characters i.e. leaf shedding in summer (ber), scanty foliage (ker), spiny cladode (cactus pear), mucilaginous sap in plant part (ker, gonda, pilu, bael, etc.), sunken stomata and fur/ hairiness and waxy coating on the leaf surface (phalsa, ber, gonda, fig, etc.) thorny nature, and selective or reduced absorption of cation (Na⁺) and anions (Cl^-, SO4^—) for survival under adverse arid conditions are peculiar adaptations. Therefore, cultivation of suitable species of fruit and vegetables in the arid areas will increase the sustenance of the inhabitants and provide the alternate sources of income through development of nurseries, small scale industries and exports.

The hot arid regions are spread over about 31.7 million ha area mainly in the States of Rajasthan, Gujarat, Andhra Pradesh, Punjab and Haryana, which inhabit on an average 61 persons per square km making up a population of nearly 20 million people. The Indian arid zone is characterized by high temperature and low and variable precipitation which limit the scope for high horticultural productivity. However, these conditions greatly favour development of high quality production of fruits such as date palm, ber, pomegranate, citrus, aonla, bael, grapes, guava and in vegetables such as cucurbitaceous crops, spices and some medicinal plants. The optimized technologies and inputs could increase the existing low productivity. It is now realized that there is a limited scope for quantum jump in fruit and vegetable production in the traditional production areas. The amelioration of the extreme conditions is also considered vital for life support to the inhabitants of this area.

4.1 INTRODUCTION

Ever since the man appeared on the earth, he has been harnessing the natural resources to meet his basic requirements. Reference to soil, water and air as basic resources, their management and means to keep them pure are mentioned in the Vedas, Upanishads and in ancient Hindu literature. Agriculture began sometime during 10000 BC and during 1930 AD use of chemical came into vogue (Sarswat et al., 2003). The phenomenal increase in population of both man and animal in the last century and fast growing industrialization and urbanization in last few decades have overstrained the natural resource base, which are getting degraded much faster than ever before. Thus, the attention of whole world is focused on how to increase production to feed the burgeoning population and the question uppermost in every ones mind is “how can we produce enough food without damage to the natural resource base, in a sustainable manner?” Precision farming is a promise in this regard. It appears to reduce risk of crop failure (De Boer, 1997).

What is Precision Farming?

It is information and technology based farm management system to identify, analyze and manage variability within fields for optimum profitability, sustainability and protection of the land resource without disturbing the environment. It is basically means adding the right amount of treatment at the right time and right location within a field.

3.1 INTRODUCTION

Today’s technological advancement has reached a level where a farmer can have access to information and tools to manage mechanized field operations. They can now measure, evaluate and deal variability within field (e.g. soil fertility, water availability and yield) that was known to exist previously but was not manageable, to his advantage. The ability to handle the variation in productivity in the field and maximize financial return, reduce waste and minimize impact on environment has always been objective of an enterprising farmer in horticultural sector, especially those who advocate sound horticultural practices. Since precision farming proposes to prescribe strategic farm management decision in the field operations to help to serve this purpose through mechanization, sensing and communication technology, automate data collection, documentation and utilization of this information. Such an approach in horticultural production management gives rise to what is now termed as precision horticulture, soil specific crop management (SSCM), spatially variable crop production (SVCP), smart farming (SF) etc.

2.1 INTRODUCTION

With increasing population, urbanization and continuous depletion of natural resources, there has to be a paradigm shift in farmer’s perception from production to productivity and to profitability. In the present scenario, the major challenges arising are shrinking land and depleting water and other related resources in agriculture. There is need for promoting farmer friendly location specific production system management technologies in a concerted manner to achieve a vertical growth in horticulture production duly ensuring quality of produce and better remuneration per unit of area with judicious use of natural resources. In this endeavour, precision farming aims to have efficient utilization of resources per unit of time and area for achieving targeted production of horticultural produce. With the revolution in information technology, now it has become possible to focus on the positioning of agricultural tools with high degree of accuracy and sophistication for maximizing returns. The combination of information technology and use of hi-tech equipments made it possible for the introduction of precision farming. It is a comprehensive system designed to optimize agriculture production through the application of crop information, advanced technology and management practices. With recent advances in geographic information systems, it has become possible to focus on site specific crop production technologies so as to harness the potential of horticulture through innovative technologies in a sustainable manner.

Introduction

Precision farming is one of the most scientific and modern approaches to sustainable agriculture that has gained momentum in 21^st century. Consider this situation: ‘A farmer goes to his field with his GPS (Global Positioning System) guided tractor. The GPS senses the exact location of the tractor within the field. It sends the signal to a computer on the tractor, which has a GIS, storing the soil nutrient requirement map in it. The GIS, in consultation with a Decision Support System, decides what is the exact requirement of the fertilizer for that location and then commands a variable rate fertilizer applicator, attached with the tractor, to apply the exact dose at that precise location. And all this is done within a second, before the tractor moves further.’ Sounds like an excerpt from a scientific fiction. But this is what precision farming (PF) means to the large growers of the US or European countries. Hence, the first thing that comes to mind is that, this system is not for developing countries, especially India, where the farmers are poor, farming is mostly subsistent and the land holding size is small. But, this is far from the truth as this approach has a large potential for improving the agricultural production in developing world. This article is an attempt to explain the possibility of adopting PF in India and the role of satellite based remote sensing in facilitating that.

Precision farming is also known as precision agriculture. A farmer is not only expected to produce more for the increasing population and his family but save and protect the fragile environment while practicing it. Advanced technologies with appropriate and exact inputs such as precision farming can take care better of environment. Precision farming is right farming operations at right time leading to maximize profit. Every farming activity performed with precision by doing the right thing, in the right place, in the right way, at the right time and with right technology leading to maximize profit is known as precision farming. It is an efficient, eco-friendly and accurate management of agriculture inputs such as water, seed, fertilizers, pesticides and harvesting tools and machinery to maximize profit and reduce waste. The basic concept of precision farming is to match agricultural inputs and operations as per crop (variety/hybrid/cultivar) and agroclimatic conditions with accuracy to their better use efficiency. Perfection (nothing requisite is wanting) in farming is the key to precision farming.

Precision farming is based on global positioning system (GPS). The unique character of GPS is precision in time and space. Its use is spreading to all farm operations. Precision farming is an integrated information and production based farming system that is designed to increase long term, site specific and whole farm production efficiency, productivity and profitability while minimizing, waste and unintended impacts on the environment. This concept of precision agriculture is based on observing, measuring and responding to inter and intra field variability in crops.

Farm management strategy is the key to precision agriculture that uses integrated smart technologies such as sensors, GIS, GPS, satellite radars, drones, IoT (Internet of things) and data analytics to develop informed crop production and management decisions. The field variations are precisely measured with the help of technologies to optimize applications of inputs such as manures, fertilizers, pesticides, bio-agents and water use to increase crop yield at minimum cost. The aim of precision farming is to increase productivity, decrease production costs and minimize the environmental impact of farming.

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.

6.1 Scenario in precision farming

• India’s population is around 1366 million by 2020 which requires food grain production of 350 million tones.

• Considering the current food grain production levels, India needs to raise food grain production levels by not less than 4.00 per cent per year. As the availability of land has decreased, application of fertilizers and pesticides become necessary to increase food production.Indiscriminate use of inputs coupled with improper management practices over a long period has resulted in decline in soil productivity.

• Agriculture production system is outcome of interaction of various agro inputs. Therefore, judicious management of these inputs is necessary for the sustainability of these inputs.

• In our agriculture systems, spatial variability over the landscape is ignored and fertilizers, herbicide, pesticides, fungicides etc. are applied at uniform rate over the whole field.

• It has been recognized that crops and soils are not uniform within a given field. The management of in-field variability in soil fertility and crop conditions for improving crop production and minimizing the environmental impact is the crux of precision farming.

• Definitions • It is defined as the application of technologies and principles to manage spatial and temporal variability associated with all aspects of agricultural production (Pierce and Nowak, 1999).

• It is an integrated information and production-based farming system that is designed to increase long term, site specific and whole farm production efficiency, productivity and profitability while minimizing unintended impacts on environment.

Precision farming is an approach, where inputs are utilized precisely to get increased average yields as compared to traditional cultivation techniques. Precision farming aims to improve crop performance as well as environmental safety. In other words, precision farming is the matching of resource application and agronomic practices with soil attributes and crop requirements as they vary across the field. Precision farming can improve both yield and profits by using optimum resources, while at the same time making agriculture more sustainable and less polluting. Sustainable precision farming is the most valuable innovation in farm management that is based on using Information and Communication Technologies (ICTs). This is the most recent innovation technology based on sustainable agriculture and healthy food production. Popular definition of Precision Agriculture (PA), Satellite Farming or Site Specific Crop Management (SSCM) describe the term as ‘a technology enabled approach to farming management that observes, measures, and analyzes the needs of individual fields and crops’.

Abstract
The aquaculture industry has undergone significant transformations in recent decades, yet issues like feed waste, pollution, and economic inefficiencies remain unresolved. One possible remedy is precision feeding, which involves providing fish with precise nutrition tailored to their physiology. Precision feeding is an innovative and sustainable approach in aquaculture to optimize feed utilization and reduce waste. Traditional feeding practices often result in overfeeding, nutrient imbalances, and environmental degradation. By matching the feed supply to the dietary requirements of various fish species, precision feeding improves feed efficiency, growth, and health. Advanced technologies, including demand feeders, acoustic systems, sonar imaging, and intelligent feeding devices, enable real-time monitoring and control of feeding processes. These systems reduce environmental pollution while improving operational profitability. Precision feeding has potential, but adoption is hampered by factors like expensive costs, complicated technology, and the requirement for specialist knowledge. As aquaculture grows, precision feeding offers a promising pathway to sustainable practices by integrating automation, artificial intelligence, and real-time monitoring systems. This approach ensures ecological responsibility and aligns with industry goals for productivity and economic viability.
Keywords: Precision feeding, fish nutrition, feed waste, intelligent feeding systems and sustainability

1. Introduction
Aquaculture, the farming of aquatic organisms, has grown rapidly over the past few decades to meet the rising global demand for seafood. As wild fish stocks continue to decline due to overfishing and environmental pressures, aquaculture is playing a crucial role in food production. However, like other forms of agriculture, aquaculture faces significant challenges, with feed management being one of the most critical. Feed represents the single largest operational cost in aquaculture, often accounting for 50-70% of the total production expenses. Efficient feed utilization is therefore central to the economic viability of aquaculture operations. Yet, traditional feeding methods are often inefficient, leading to feed wastage, nutrient pollution in water bodies, and suboptimal growth in farmed fish.
In conventional aquaculture, feed is typically dispensed at set intervals and in quantities based on estimations of fish appetite and growth requirements. However, this approach has several inherent inefficiencies. Overfeeding or underfeeding is common due to the lack of real-time monitoring and precision. Excess feed that remains uneaten sinks to the bottom of ponds or cages, decomposing and contributing to nutrient pollution. This not only represents a direct economic loss but also creates environmental problems such as eutrophication, which can lead to algal blooms, oxygen depletion, and poor water quality. On the other hand, underfeeding can result in stunted growth, poor health, and reduced productivity of fish. Both overfeeding and underfeeding, therefore, represent significant barriers to achieving sustainability and profitability in aquaculture.

Precision feeding aims to supply animals with appropriate nutrients according to their changing physiological state, growth, production and environment. Conventional feeding plans are often static and may lead to waste, increased costs and environmental losses. This chapter introduces an AI-enabled framework integrating animal data, feed composition, growth characteristics and external factors. Regression, ensemble learning and other machine-learning models predict feed intake and weight gain, while linear programming and metaheuristic optimization generate efficient allocation plans. A decision-support system provides recommendations in real time. The approach can improve feed conversion, nutrient utilization, profitability and sustainability while reducing overfeeding, resource wastage and the environmental impact of livestock production.

Precision fisheries, a concept adapted from precision agriculture, involves the application of advanced technologies and data-driven approaches to optimize fishing operations and resource management. This chapter explores the potential of precision fisheries as the future of fishing, offering benefits such as increased efficiency, reduced environmental impact, and improved sustainability. By integrating cutting-edge technologies such as remote sensing, GIS (Geographic Information Systems), IoT (Internet of Things), and machine learning, precision fisheries aim to enhance decision-making, maximize yield, and minimize resource wastage. The chapter discusses key components of precision fisheries, including real-time monitoring, predictive modeling, and targeted harvesting, and examines their implications for the fishing industry, ecosystems, and coastal communities. Furthermore, the chapter highlights challenges and opportunities associated with the adoption of precision fisheries and provides recommendations for policymakers, researchers, and stakeholders to harness its full potential for sustainable fisheries management and food security.

Precision irrigation and fertilizer management in floriculture are revolutionizing the way flowers are cultivated, bringing together the latest advancements in technology to optimize resource use and enhance crop quality. In an industry where the aesthetics and health of flowers are paramount, precision agriculture techniques offer a tailored approach that meets the specific needs of each plant. Utilizing state-of-the-art tools such as soil moisture sensors remote sensing technologies and GPS-guided systems, precision irrigation ensures that water is delivered efficiently, reducing wastage and ensuring plants receive the exact amount of moisture required for optimal growth. Similarly, precision fertilizer management employs techniques like variable rate application (VRA) and soil nutrient mapping to provide plants with the necessary nutrients in precise amounts and at optimal times, avoiding the over-application that can lead to nutrient runoff and environmental harm. This method not only enhances the health and vibrancy of the flowers but also significantly contributes to sustainability in horticulture. By closely monitoring and adjusting water and nutrient inputs, growers can reduce their environmental footprint, conserving water and reducing chemical use. This is particularly important in floriculture, where the visual quality of the product is directly influenced by the growing conditions. With precision techniques, growers can achieve more consistent and high-quality blooms, which are essential for maintaining competitive advantage in the market.

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

Rearing animals has been amongst the most ancient professions of humanity and since the advent of domestication, the livestock keepers have been involved with them to a certain extent on financial, social and emotional fronts and thus have been curious about certain key aspects of the livestock under their care. The curiosity can be defined with the ‘five W and one H’ of questions as What needs to be done (requirements)? When to do that (timing)? Where are they (location)? Why is there a need (rationale)? How will that meet my purpose (state)? The farming community has traditionally been using these attributes for making farm decisions by observing the animals constantly, or periodically at key occasions such as milking. Such monitoring, aided by the wisdom of experience of the generations of farmers, led to the identification of the key events or problems in the health and productivity of individual animals. However, such kind of monitoring requires a deeper engagement in livestock keeping than that is desirable in commercial farming and the decisions/ detections are severely limited by the capability of the observer.

Precision Livestock Farming (PLF) is a term that encompasses the deployment of sensors for the capture of key biological information, the use of algorithms for processing the biological information (data science), systems for making inferences and making decisions based on the processed data (artificial intelligence), interfaces that allow for making use of these data (reporting) and implements for automation (robotics). PLF is intended to optimize the process of animal production, health care and welfare by generating vast real time information to be used in various ways. There have been many systems being tried and found fit for practical applicability; whereas, few systems like geolocation and motion detection are extensively applied.

Meeting food demand and escalating food prices are serious issues, as current food scenario indicate that crop demand will increase by 100 to 110% from 2005 to 2050 at global level (Tilman et al., 2011). Precision use of fertilizer is the crucial for achieving sufficient food production for growing population. It is costly input to produce and apply, both financially and environmentally. Fertilizer consumption measures the quantity of plant nutrients used per unit of arable land.