eChapters

Introduction 
Having explored the fundamental principles and various types of elementary crop growth models in the previous chapter, we now arrive at a pivotal juncture in their journey from theoretical constructs to practical, dependable tools. It‘s one thing to conceptualize and build a mathematical representation of crop growth; it‘s quite another to ensure that this model accurately reflects realworld plant behavior and can be reliably used for predicting outcomes and informing critical agricultural decisions. This chapter, Calibration, Validation, Verification, and Sensitivity of Elementary Crop Models,” will guide you through the indispensable processes that establish a model‘s credibility and utility. We will delve into the systematic steps involved in calibration, where we meticulously fine-tune a model‘s parameters to accurately reflect a specific crop‘s response within a particular environment, effectively adapting the general model to local conditions. Following this, we will explore validation, a rigorous process of independently testing the model‘s predictive power against datasets not used during calibration, ensuring its robustness and generalizability. Beyond accuracy, we will also cover verification, which confirms the model‘s logical consistency and computational correctness, ensuring that its internal workings are sound. Finally, we will examine sensitivity analysis, a crucial technique for understanding how changes in various input factors—especially weather parameters—or internal model coefficients influence the model‘s outputs, thereby revealing the model‘s critical drivers and potential vulnerabilities. These four processes are far more than mere technical formalities; they form the bedrock upon which the utility, accuracy, and trustworthiness of any crop model, no matter how elementary, are firmly built. By engaging with these essential steps, we can transform theoretical frameworks into powerful instruments capable of supporting sustainable agricultural planning, risk management, and adaptive strategies in a dynamic climate.

Abstract

The functioning and stability of terrestrial ecosystem are determined by plant biodiversity and species composition. So far, little attention has been paid to the effects of microbe-plant interactions, particularly the mycorrhizal symbiosis, on ecosystem variability, productivity and plant biodiversity. The most common type of mycorrhizal association is the arbuscular mycorrhizal (AM) type. The role of AM fungi in the uptake of diffusion limited nutrients like P and in conferring resistance to soil-borne-diseases is well documented.

Introduction

Canopy management is defined as managing plant architectural design as per need, using their inherent characteristics which is in accordance with a given set of conditions and resources to perform the plant maximum (Nath et al, 2014).The modern principles of sustainable fruit production systems focused on optimal use of natural resources (light, water, soil fertility) where the input (labour, energy, fuel, other material) and output (yield) are well balanced and the resources remain renewable.

Fruit orchards can be considered as artificial ecosystems converting the energy of photosynthetic active radiation (PAR) into edible, marketable fruits for human consumption. The core of this system is the bio-factory of leaves driven by the absorbed PAR. Several data support that the light interception is the basic factor for the modern orchard systems. Factors as LAI (Leaf area index), tree spacing, training and pruning systems, fruiting wood development, rootstocks and genotypes also have an important bearing on orchard efficiency.

The main objectives of canopy architecture is to develop strong tree framework, maximize utilization of light, accommodate more number of trees per unit area, maintenance of tree orchard uniformity and induce and sustain proper amount of well distributed fruiting terminals.

In order for the fruit production system to remain sustainable, the orchard system should favour the contributory role of an input of natural origin to the maximum possible extent, in improving the yield in the early years and provide high yields after the trees are mature until the planned age of the orchard. Recent development in the tree architecture has produced some promising tree training and pruning systems as well for high density fruit orchards.

The low productivity in guava because of traditional planting distance (6-7 m apart) with no canopy management practices. Guava under traditional and high density planting system, though it gives high yield during initial stage but as the tree advances in age light interception and aeration decreases inside the canopy due to shading and overcrowding, resulting low yields and poor quality. In order to develop efficient canopy architecture for HDP and traditional planting system, the ICAR-CISH has standardized training system and canopy management with objective to have sustained high yield and quality of guava.
Guava bears flower on current shoots produced on mature wood laterally or terminally. In general flowers are produced in the leaf axils in 1 or 2-3 in cluster. The crop load depend on number of new shoots, hence more new shoots resulting more fruiting surface area.
High Density Planting System
Accommodation of more plants per unit area is known as high density planting system. Since guava respond well to pruning and fruiting starts 40-50 days after pruning and more new shoots emerged on which more flowers and fruits appears, thus yield increased. For successful HDP suitable canopy shape and its management is prerequisite. Guava is usually planted 6-7 m distance accommodating 277 to 204 plants per hectare the yield vary 35-80 kg/tree with yield per hectare 15-12 t/ha. In traditional planting density usually fruiting takes place on high on the tree.

Introduction
Mango (Mangiferaindica L) known as “the king of fruits” and “Apple of the Tropics” is most popular fruit in the tropics and sub-tropics. It moved from India to different countries and has gained popularity around the world. It has long been associated with the Indian culture and religious functions. Among different states, Uttar Pradesh and Andhra Pradesh constitute 23.64 per cent and 22.99 per cent share in the total mango, respectively, in the country. In 2023, Mango production had a total export volume of 78.56 billion MT. India is the biggest mango producer with a total production volume of 25 million MT of mangoes during the year. The top 10 mango producers in 2023 include India (25 million MT), China (3.8 million MT), Indonesia (3.6 million MT), Pakistan (2.7 million MT), Mexico (2.4 million MT), Brazil (2.1 million tons), Malawi (1.7 million MT), Thailand (1.6 million MT), Bangladesh (1.5 million MT) and Vietnam (1.4 million MT). As regards world-wide mango exports, Mexico is the biggest mango exporter with total exports worth $576.36 million in 2023. It was noted that Mexico’s mango exports increased by 5.09% from the previous year. The top 10 mango exporting countries in 2023 include the following:

Abstract

Traditionally remote sensing technology has been widely used in the mapping and change detection of vegetation features. Of late research has shown that remote sensing technology can be successfully employed for retrieval of biophysical parameters of vegetation, either by statistical techniques or by employing radiative transfer models (RTMs). This paper gives an introduction to leaf and canopy RTMs, especially about PROSAIL, which is the most commonly used model. It reviews different techniques for inverting RTM models, their merits and performance comparison. The main techniques briefly described are iterative optimization, look-up table, artificial neural network, genetic algorithm and support vector machine. At the end, it gives examples of applications which use canopy biophysical parameters retrieved by inverting RTM.

Keywords: Radiative transfer, PROSAIL, Inversion, Vegetation

1.0 Introduction

Accurate quantitative estimation of vegetation biophysical variables is useful for a large variety of agricultural, ecological, and meteorological applications (Houborg et al., 2007). The spatial and temporal distribution of these variables are important inputs into models quantifying the exchange of energy and matter between the land surface and the atmosphere, developing better yield prediction models and detecting abiotic stresses at regional scales. Among the many vegetation characteristics leaf area index, leaf chlorophyll content and leaf water content are of prime importance (Bacour et al., 2006; Houborg et al., 2007).

15.1 Introduction

There is now adequate evidence about the impending global climate change and the consequences thereof. The fourth assessment report of IPCC observed that ‘warming of climate system is now unequivocal, as is now evident from observations of increase in global average air and ocean temperatures, widespread melting of snow and ice, and rising global sea level’ (IPCC, 2007). Though climate change is global in its occurrence and consequences, it is the developing countries like India that are likely to face more adverse consequences. Globally, climate change is seen as a failure of market mechanisms wherein the polluters haven’t had to pay for the negative externalities (Stern, 2007) that their economic activities caused.

Abstract

Cultivation of cash crops of good quality potent to give good economic returns depends largely upon adoption of modern practices in agriculture. The region under test consideration is completely irrigated and cultivates mostly the crops of grapes and sugarcane. A field testing that was carried out for the pumps used by local farmers, revealed glaring inefficiency in pump operation. This is attributed to numerous reasons, the standout of them-being improper pump selection and deviation from operating point. Survey of the farming pattern helped to establish nexus between the energy usages per acre for the two crops. Carbon Footprint was determined for the electricity utilized in these farms. Adoption of selection methodologies and efficient practices would lead to considerable saving in electrical power consumption. The impact of adoption of efficient practices was therefore quantified.

Keywords: Agriculture, Carbon Footprint, Pumps

14.1 Introduction

Atmospheric concentration of CO₂ has increased from 280 ppm in pre-industrial era to 385 ppm in 2008 (+ 37.5%) and is presently increasing at the rate of 2 ppm yr^-1 or 3.5 Pg yr^-1 (1 Pg or petagram = 1 Gt = 1 gigaton = 1 billion metric ton). The increase in CO₂ emission by human activity is attributed to fossil fuel combustion, deforestation and biomass burning, soil cultivation and drainage of wetlands or peat soils. Increase in fossil fuel combustion is caused by high global energy demand of 475 Quads (1 quad = 1015 BTU) and increasing at the rate of 2.5 % yr^-1, especially in emerging economies including China, India, Mexico, Brazil, etc. The world population of 6.7 billion in 2008 is increasing at the rate of 1.3 % yr^-1 and is projected to be 9.5 billion by 2050 before stabilizing at 10 billion towards the end of the 21^st century. There exists a strong positive correlation between population growth on the one hand and CO₂ emission or the energy demand on the other. The People’s Republic of China accounted for 13% of the world’s C emissions in 2002 and that share is projected to rise to 18% by 2025 (Lal, 2004a).

4.1 Introduction

Biomass is referred to as an indirect source of solar energy and considered a source of stored chemical energy. Biomass is renewable organic material derived from plants and animals serving as sources of energy. Biomass produced from agricultural sector is big challenges for all over the world due to its improver disposal. Mitigating greenhouse gas emissions and ensuring adequate global food supplies represent two of the last decade’s mostdifficult challenges.Although global food production has benefitted from chemical fertilizers, environmental problems have emerged as a result of their use. Additionally, overuse of fertilizers can result in hardened soil, decreased soil fertility, polluted air and water, and the release of greenhouse gases. There is an urgent need to find an alternative to chemical fertilizers that, ideally, can be sourced in abundant amounts, promotes global food production, enhances CO₂ capture , and does not affect soil health or damage the environment¹. To sustain agricultural productivity, it is crucial to maintain adequate levels of organic matter in the soil to preserve its physical, chemical, and biological integrity. Biochar, a pyrogenic black carbon, may play an important role in improving soil health, resulting in higher crop yield and absorbing atmospheric carbon dioxide. Biochar is the most auspicious straw management measures and have highest carbon abatement and economic profit².

Biochar is produced by heating biomass at high temperatures (300 – 600 °C) in a closed reactor containing no to partial levels of air. Under these conditions, biomass undergoes thermo-chemical conversion into biochar. Because of its numerous potentials uses in agriculture, energy, and the environment, much attention has been given to biochar in both political and academic areas. Biochar can be used in a variety of applications such as energy production, agriculture, carbon sequestration, waste water treatment, and bio-refinery; additionally, biochar provides an alternative strategy for managing organic waste. These advantages have renewed the interest of agricultural researchers in producing biochar from bio-residues and using the product as a soil amendment.

Small cardamom (Elettaria cardamomum Maton), popularly known as the “Queen of spices”, occupies an important position among the foreign exchange earning commodities. It is cultivated on a commercial scale in Sri
Lanka, Guatemala, Tanzania and Papua New Guinea. Guatemala is the largest producer of cardamom in the World. In India, it is confined to the States of Kerala, Karnataka and Tamil Nadu. Among these States, Kerala
accounts for the major portion of production (58.4 %), followed by Karnataka (35.2 %) and Tamil Nadu (6.4 %). In Kerala, Cardamom is mainly grown in the erstwhile Travancore area in Idukki district and it is known as the Cardamom Hill Reserve (CHR). Cardamom is a native of the moist evergreen rain forests of the Western Ghats and is grown extensively in the hilly regions at elevations of 700 to 1300 metres as an under crop in forest lands. Cardamom thrives well within certain maximum and minimum thermal regimes. It is believed that diurnal symmetries in temperature trends, if any, have close links with the changes in cloudiness, humidity, atmospheric circulation pattern, winds and soil moisture. The land use pattern of cardamom tracts has changed to a great extent in recent decades. Crops like coffee, black pepper and areca nut are being cultivated at many locations in place of cardamom. With denudation of forests in many cardamom areas, the ideal cool humid microclimate has been destabilized and adversely affected the productivity of the crop.

Crop performance depends on how closely environmental conditions match genetic requirements. Cardinal temperatures define the minimum, optimum and maximum thresholds within which germination, growth and development occur. This chapter explains these thresholds and presents their relevance to major crops. It also examines rainfall, sunshine, humidity, photoperiod and other agroclimatic requirements determining where and when crops can be cultivated successfully. Knowledge of crop-specific requirements supports agroclimatic zoning, variety selection, sowing-date adjustment and assessment of climate-change impacts. Matching crops and cultivars to suitable environmental conditions reduces weather-related risk, improves resource efficiency and helps realize crop-yield potential under present and changing climatic conditions.

Climate-resilient rural development is a critical priority for CMCs, given their vulnerability to climate change impacts such as floods, droughts, cyclones, and rising temperatures. This note explores case studies and success stories from some of the CMCs, highlighting innovative approaches, community- driven initiatives, and policy interventions that enhance climate resilience in rural areas. The examples draw from documented projects, emphasizing practical outcomes and lessons learned. Case studies of specific CMCs 1. Bangladesh: Saemaul Zero Hunger Communities (SZHC) Project In central Bangladesh, the Saemaul Zero Hunger Communities (SZHC) project (2014-2017) focused on 19 flood-prone villages to strengthen resilience to climate shocks and improve food security (UNDP, 2018). Implemented in collaboration with local communities

Table 1: Descriptive statistics of the socio-economic and communication characteristics of the respondents in terms of Range (Minimum and Maximum), Mean, Standard Deviation (SD) and Coefficient of Variation (CV) of Alluvial Zone in West Bengal

Table 1 Represents the distribution of variables in terms of range i.e. maximum and minimum values, mean, standard deviation and coefficient of variation for alluvial zone of West Bengal.

It has been found that for the independent variable age (x₁), the range lies between 82 and 27 years, where the oldest respondent is of 82 years and the youngest respondent being 27years old. The mean value of the age of the respondents in this study was found to be 51.49 years with a standard deviation of 12.42 in the dataset. Coefficient of variation for this variable was found to be 24.14 per cent, which indicates a high level of consistency in the distribution.

Cashew (Anacardium occidentale L.) is a native of Brazil and was introduced in India by the Portuguese during the16th Century. It is grown in India, Brazil, Vietnam, Tanzania, Mozambique,
Indonesia, Sri Lanka and other tropical Asian and African countries. The crop is grown within the latitudinal belt of 27°N and 28°S of the equator experiencing the tropical climates for its growth and development. It is categorised under one of the plantations along the West and East Coasts. To a limited extent cashew is cultivated in Gujarat, Chattisgarh, Manipur, Meghalaya, Tripura, Andaman and Nicobar Islands. The crop is mostly grown in low and midlands along the West and East Coasts of India in sandy and laterite soils. Since it is mostly grown along the Coast across the Country it is also known as the Coastal Tree. Cashew grows along the West and East Coasts of India from South to North, lying between 09°N and 23oN latitudes. Though it grows beyond 23°N latitude, its production is relatively low as the reproductive phase coincides with cold injury/low temperature during
winter (December-February). Being a tropical coastal tree, it cannot thrive under low winter temperature. There is significant yield variation in cashew among the different agroclimatic zones of the country. Year-to-year yield variation is also significant as the crop is weather sensitive. This crop may come up even in waste lands with specific crop management practices along the West Coast and as a shelter belt and wind break along the East Coast.

Introduction 
Castor bean (Ricinus communis L.) is a species of annual and perennial flowering plant in the spurge family, Euphorbiaceae (USDA, 2016). It is the sole species in the monotypic genus, Ricinus, and subtribe, Ricininae. The evolution of castor and its relation to other species are currently being studied using modern genetic tools (Institute for Genome Sciences, 2009). Castor reproduces with a mixed pollination system that favors selfing by geitonogamy but can also be pollinated by wind (anemophily) or insects (entomophily) (Rizzardo et al.,2012). Native to the southeastern Mediterranean Basin, Eastern Africa, and India, castor is now widespread throughout tropical regions (Phillips & Rix, 2002). The plant is known for its seeds, which contain 40-60% oil, primarily composed of triglycerides such as ricinolein. However, the seeds also contain ricin, a watersoluble toxin present in lower concentrations throughout the plant. Ricinus communis exhibits significant variability in its growth habit and appearance, with cultivars selected for leaf and flower colours as well as oil production. Castor bean is a fast-growing shrub that can reach up to 12 meters in height, although it is not cold hardy. Its stems spherical, spiny seed capsules also vary in pigmentation. In some varieties, the fruit capsules are more attractive than the flowers. Ongoing research aims to better understand the plant’s evolution and its relationship to other species, while its unique characteristics and diverse uses make it an important subject of study. The monoecious castor plant bears unisexual male and female flowers in terminal panicle-like inflorescences (Fig :1). Male flowers are yellowish-green with creamy stamens, while fewer female flowers have prominent red stigmas (Oliver and Lee, 2010). The spiny capsule fruit contains large, oval, poisonous seeds with a caruncle that aids ant-mediated dispersal. Improving castor bean (Ricinus communis) cultivation for biodiesel production involves a combination of genetic, agronomic, and technological strategies aimed at enhancing yield, oil quality and sustainability. Genetic improvement focuses on developing high-yielding and disease-resistant varieties through traditional breeding, molecular techniques like marker-assisted selection (MAS), and advanced tools such as CRISPR-Cas9 for targeted gene editing. Efforts are directed at optimizing oil content, improving fatty acid profiles for biodiesel, and reducing toxins like ricin. Agronomic practices play a crucial role, including the adoption of efficient planting densities, intercropping systems, and soil and

Agricultural meteorology stands as a cornerstone discipline in ensuring global food security, optimizing resource utilization, and fostering sustainable agricultural practices. In an era marked by increasing climate variability and the profound impacts of long-term climate change, the need for a dynamic and forward-thinking research agenda in this field has never been more critical. This chapter serves as a roadmap, outlining a comprehensive research agenda for the new generation of agricultural meteorologists, one that directly confronts the escalating challenges while strategically capitalizing on the unprecedented opportunities offered by technological advancements and enhanced data availability.
• The complexities introduced by a rapidly changing climate – characterized by more frequent and intense extreme weather events, shifts in growing seasons, and altered pest and disease patterns – demand innovative research approaches. Simultaneously, breakthroughs in sensor technology, remote sensing capabilities, data analytics, artificial intelligence, and communication platforms present unprecedented opportunities to revolutionize how we monitor, understand, predict, and respond to the intricate interactions between weather, climate, and agricultural systems.
• A well-defined and meticulously managed research agenda is paramount to effectively channel our collective scientific efforts. It provides a framework for identifying critical knowledge gaps, prioritizing research endeavors, fostering collaboration across disciplines, and ultimately, maximizing the impact of our investigations. Strategic research management ensures the efficient allocation of resources, promotes rigorous scientific inquiry, facilitates the seamless translation of research findings into practical, onthe- ground solutions, and informs evidence-based policy decisions that can bolster the resilience and productivity of the agricultural sector.
• Recognizing the diverse ecosystem of researchers who contribute to the advancement of agricultural meteorology, it is imperative to delineate specific research areas that are both relevant and achievable for individuals at various stages of their academic and professional journeys. This chapter will therefore provide a clear demarcation of research avenues suitable for Masters students seeking foundational research experiences, doctoral

Ion exchange is a reversible process by which a cation or anion held on the solid phase is exchanged with another cation or anion in the liquid phase. Soil mineral and organic colloidal particles have negative valence charges that hold dissociable cations. The power to retain cations at the surface of soil colloids is referred to as the cation exchange capacity (CEC). Cation exchange is a reversible reaction in soil solution, dependent upon negative charges of soil components arising from permanently charged or pH-dependent sites on organic matter and mineral colloid surfaces. The CEC is the sum of cations held by a kilogram of soil and is expressed in Cmol (p₊)/kg soil. In most agricultural soils, the cation-exchange capacity (CEC) is generally higher than the anion exchange capacity (AEC).

Introduction: Indoor Air Pollution

People think that while they are indoors, they are breathing clean air. After all, pollution is found outside, and indoor air is filtered through the HVAC system.

Indoor air can have significantly higher concentrations of pollution than air found outside. Plenty of evidences exists. Global Burden of Disease Risk lists indoor air pollution as the ninth biggest health risk.