eChapters

The disease appears as tumour like swelling or galls on leaf veins, leaf stalks, peduncles, stems and on fruits. The galls on the vein give a swollen and hanging appearance to the leaves. These are elongated, looks glossy in beginning but later rupture to become rough and corky. When stems remain succulent, numerous tumours may form on them. In severe case, the plant may kill prematurely.

Correlation and regression are essential statistical tools for examining relationships among climate variables and agricultural responses. Correlation measures the strength and direction of association, while regression develops mathematical relationships for explanation and prediction. This chapter discusses their application to rainfall, temperature, humidity, evapotranspiration, crop growth and yield. It explains simple and multiple relationships, assumptions, interpretation, model fitting, predictive power and potential errors. These methods support crop-weather modelling, yield forecasting, climate-impact assessment and agricultural decision-making. By identifying how climatic variables influence biological and production processes, correlation and regression analysis help researchers generate reliable predictions and design more resilient and productive agricultural management strategies under changing environmental conditions.

12.1 Introduction

It is important to note that growing crops in a greenhouse requires a significant f inancial and administrative commitment. In order to ensure profitability, firms need to consider both cash flow and profitability. An enterprise budget can help address profitability potential by itemizing costs incurred across a typical production cycle. On the other hand, a cash flow budget is used to analyze the cash inflows and outflows of the enterprise over a fixed period of time.

There are different types of greenhouses, the low cost and high cost or low technology or high technology greenhouses. The cost of greenhouse and expenditure on crop production under these greenhouses would vary according to technology to be used and the crop is to be produced. The cost would vary from place to place with location of greenhouse. For each type of greenhouse its cost would vary according to geo-climate, the production practices and input expenditure/availability. The cost of construction of greenhouse in 2019 hence varies from Rupees 500 to 6000 per square meter.

Cost estimation is a critical step in the planning and implementation of conservation structures, providing a foundation for project approval, budgeting, and economic evaluation. For drop spillways—hydraulic structures used in soil and water conservation—the process involves calculating all expenses associated with materials, labor, and ancillary charges.
Drop spillways are engineered to safely transport excess runoff from higher elevations to lower ground levels, preventing erosion and structural degradation. Commonly used in agricultural watersheds, these structures play a vital role in controlling gully erosion, managing stormwater, and maintaining land productivity.
Accurate cost estimation includes:
• Quantifying construction materials such as concrete, masonry, reinforcement bars, and pipe outlets.
• Calculating labor costs based on the skilled and unskilled labor required for excavation, form, and structural assembly.
• Adding overhead charges, including land revenue, administrative costs, and potential audit expenses.
A detailed cost estimate ensures that the project remains within budget while meeting safety, durability, and environmental standards. It also aids in comparing alternatives and securing funding or approvals from governing agencies.
COMPONENTS OF A DROP SPILLWAY
Estimating the cost of different conservation structures involves analyzing both material and labor expenses specific to each type of structure. This process plays a vital role in project approval and economic assessment. It includes calculating material quantities, labor charges, and additional costs such as audit fees and land revenue.

13.1. Introduction
Knowledge regarding various relationships existing between costs and output is necessary to comprehend the concepts of equilibrium conditions of different firms under different market conditions. Basically we require data on output, fixed costs, variable costs and the prices of inputs and outputs. From this data we finally derive all the seven cost concepts, viz.,TFC, TVC, TC, AFC, AVC, AC and MC. These cost concepts would have implications for output expansion of the firms and equilibrium position of the firms in different time periods. In the cost theory, economists use different names for cost concepts under different context. They are money costs or nominal costs, real costs, opportunity costs, economic costs, implicit costs, explicit costs, deflated costs, social costs, short run costs, long run costs, separable costs, etc.
Nominal Costs or Money Costs
These are usually expressed in money terms at current prices. Nominal costs of production refer to per unit cost of production of output at current market prices.
Real Costs
When the costs of inputs and input services are expressed at constant prices they become real costs.

Cotton is often called as “white gold”. True to its name cotton supports the largest agro based industries in India and cotton industry ranks first in the agro based industries and engages 4 to 5 million people in cotton growing. The industrial sector employs 1.0 million people. At present there are 3660 ginning and 1570 textile mills in India. India earns foreign exchange to a tune of Rs. 2500 million through exports of cotton textiles and products. Cotton is cultivated for ‘lint’ which is used for preparing threads, yarns and medical cotton mixed with synthetic fibre and for various other purposes.

Anthracnose
Diagnostic Symptoms
• Pathogen infects the seedlings and produces small reddish circular spots on the cotyledons and primary leaves.
• Lesions develop on the collar region, stem may be girdled, causing seedling to wilt and die.
• In mature plants, the fungus attacks the stem, leading to stem splitting and shredding of bark.
• Most common symptom is boll spotting. Small water soaked, circular, reddish brown depressed spots appear on the bolls.
• The lint is stained to yellow or brown, becomes a solid brittle mass of fiber.The infected bolls cease to grow and burst and dry up prematurely(Fig-2).
Etiology
Scientific Classification
Kingdom : Fungi
Division : Eumycota

The disease i s seen at all crop growing stages. The fi rst symptoms appear at the time of emergence of seedlings, when the cotyledons are attacked. They become yellow and turn brown followed by wilting and drying of the affected seedlings. In the fi eld, the wilting symptoms appear in patches. First of all, the older leaves become yellow, loose their turgidity, wilt, turn brown and droop.

Counselling represents a purposeful, collaborative relationship between a trained professional and an individual seeking assistance with personal, emotional, psychological, or behavioral concerns. This helping relationship is founded on principles of trust, confidentiality, and mutual respect, creating a safe environment where individuals can explore their thoughts, feelings, and experiences without judgment. The American Counseling Association defines counselling as a professional relationship that empowers diverse individuals, families, and groups to accomplish mental health, wellness, education, and career goals. This definition emphasizes the empowerment aspect of counselling, highlighting its role in facilitating personal growth and development rather than simply addressing problems or deficits. The fundamental nature of counselling involves a systematic p

1.1. Introduction
The terms ‘counselling’ and ‘health promotion’ complement each other when it becomes a matter of an individual’s health. Health promotion is a part of behavioural social science that aims to change the systemic strategies adopted by the individual or group or by the mass community for the betterment of their health which can be achieved by talk therapy known as counselling. In the 21st century, from childhood to adulthood, all people are in a ‘rat race’ for their careers and necessities, which is one of the main reasons for stress generation. Not only that, chemical substances consumed by different food ingredients as food additives, preservatives, etc. but also induce oxidative stress and damage the functional activity of cells, tissues, organs, and systems. This ‘stress’ is a major culprit not only for the deterioration of physical health but also psychological health. Such stress imposition in daily life impairs normal physiological functions, skills, performance, and productivity. Unhealthy food, life, and work styles are also linked to the onset of pathophysiological complications that counselling and health promotion are required to overcome. Besides this, for sportsmen, pregnant women, lactating mothers, and growing children, nutritional counselling and health promotion are indisputable. For disease prevention and early recovery from disease, dietary counselling plays an immense role.
1.2. Counselling
Counselling is an intermittent, interpersonal interviewing process where the counsellor gives advice or suggestions to the client but never gives any direction. Counsellors assist the client in thinking, analysing, and acting to improve their insight power. The counsellor focuses on both the positive and negative sides of a particular event and allows the client to think and rethink its acceptability and unacceptability.

Cow Based Formulations describes traditional agricultural preparations made from cow-derived materials and other locally available ingredients for soil fertility, pest management, disease management, crop growth, and stress management. The chapter covers Ghana Jeevamrutham, Jeevamrutha, Amruthajalam, Amudham solutions, buttermilk-based preparations, and microbial formulations for improving soil fertility. It also presents Neemastram, Agniastram, Brahmastram, Dashparni Kashayam, and related preparations for pest management, followed by BeejAmrutham, Beejaraksha, herbal teas, and other disease-management inputs. Panchagavya, fish amino acid, egg amino acid, vermiwash, and cow dung–asafoetida solution broaden the discussion toward growth promotion and stress management in natural farming. using locally accessible agricultural resources today.

Creating videos with images and text is a versatile way to convey information visually and is popular in many forms of media, from social media posts to professional presentations. This chapter covers the basics of making videos using images and text, discusses design techniques for a compelling visual narrative, and provides examples using popular tools.
Introduction to Image and Text-Based Videos
Image and text-based videos are commonly used for tutorials, presentations, promotional content, and storytelling. These videos rely on sequences of images combined with text overlays or captions to convey messages without needing video footage. This approach is ideal for visually-driven stories or information-focused videos.
Key Benefits
• Simple to Produce: Requires no video footage, relying instead on images and text, which can be arranged on mobile devices or desktop software.
• Effective Storytelling: Allows for clear and concise communication, ideal for instructional videos, presentations, or photo stories.
• Flexible: Can be used across platforms, from social media to formal presentations, providing versatility in application.

The rise of Artificial Intelligence (AI) has significantly transformed video creation processes, enabling faster production, improved quality, and increased personalization. This chapter delves into the role of AI in video creation, exploring its applications, tools, techniques, and implications. It highlights how AI-powered tools enhance scripting, editing, animation, and special effects, and provides insights into real-world applications across industries such as marketing, education, entertainment, and more. The use of Artificial Intelligence (AI) in video production has transformed the landscape of media creation. From automating mundane tasks to enhancing creativity through intelligent algorithms, AI offers innovative tools that streamline the video production process. This chapter provides a comprehensive bibliography of
key texts, research papers, articles, and online resources that delve into various aspects of creating videos using AI. These resources will be instrumental for scholars, practitioners, and enthusiasts seeking to deepen their understanding of AI in video production.
The integration of AI into video production has disrupted traditional workflows, making video creation more accessible, efficient, and innovative. From automating mundane tasks to introducing new creative possibilities, AI is shaping the future of visual storytelling.

Abstract

Most farmers in India lack capital. They need credit at the right time, from the right agency, and in adequate amounts to be productive. From the farmer’s perspective. When a farmer applies for a loan from an Institutional Financial Agency (IFA), the lender must be convinced of the 3 R’s, 5 C’s, and 7 P’s, which indicate the economic viability of the proposed investments.

Abstract

This chapter examines how agricultural credit is a vital input for all agricultural development programmes. Private moneylenders used to be the main source of agricultural credit. However, this source was insufficient, costly and oppressive. To overcome this, a multi-agency approach involving cooperatives, commercial banks and regional rural banks has been adopted to provide cheaper, timely and adequate credit to farmers.

Drought is a recurrent feature of climate or climatic anomaly or weather related natural disaster. It occurs when the precipitation remains deficient over an extended period of time, usually for a season or more and affects water shortage in water bodies, streams, soil moisture, ground water etc. resulting into low crop production and economic performance of large regions or entire country. Drought occurs in virtually all regions varying its severity, low and high from regions to regions.

This chapter provides an in-depth exploration of advanced techniques and conceptual frameworks—here termed “Weather Intelligence”—and their potential applications in precision agriculture. Although the term is not yet standardized, it serves as an exploratory framework for integrating advanced forecasting, diverse datasets, and data analytics to capture both natural and anthropogenic influences on weather patterns. The discussion spans crop and livestock production as well as allied sectors such as fisheries, aquaculture, plantations, horticulture, and specialized areas like flower farming. By integrating real-time data from sensors, remote sensing platforms, and historical records, these exploratory systems aim to empower farmers and food producers to optimize irrigation, planting, harvesting, and overall resource management. Agriculture has always depended on weather, yet the rapid pace of climate change and the need for sustainable practices have driven a technological revolution in farm management. In today’s digital age, advanced forecasting techniques and data analytics are converging into a new conceptual framework we call “Weather Intelligence.” Although this term is exploratory and not yet widely adopted, it encapsulates the vision of integrating high-resolution satellite imagery, IoT devices, and machine learning algorithms to forecast local microclimatic conditions with unprecedented accuracy. These forecasts enable proactive adjustments to critical operations—such as irrigation scheduling, planting, and harvesting, thereby mitigating weather-induced risks and enhancing productivity. Moreover, it is increasingly evident that weather patterns are not only shaped by natural phenomena but also by human-induced risks such as wars, conflicts, and environmental abuse. Factors like landfills, water and sea pollution, toxic dumping, and unsustainable industrial practices are altering microclimates around the world. This complex interplay of natural and anthropogenic forces calls for the incorporation of a broader array of variables and larger datasets into forecasting systems. In this context, embracing Weather Intelligence as a dedicated field of study and application in agricultural and allied sciences becomes not only desirable but essential. This chapter aims to detail the evolution and current state of these integrated approaches, discuss their potential applications across various agricultural sectors, and outline strategies for precision decision making. While much of the content is exploratory in nature, it provides a conceptual framework for future research

Introduction

Crop discrimination is the process of using remote-sensing technologies to identify and characterize different types of crops based on their electromagnetic behavior at different wavelengths. Each crop has a unique spectral signature that reflects its response to the incident radiation. However, the spectral signature can also vary depending on the season, the angle of the sensor, crop’s features, illumination intensity, weather phenomenon, and topography among other external factors (Parida et al., 2023).

Crop disease dynamics is a critical aspect of plant pathology that deals with the study of the interactions between the disease-causing agent, the host plant, and the environment. It involves understanding the complex relationships between these components and how they influence the development and spread of crop diseases. Crop disease dynamics is a dynamic and constantly changing process that is influenced by a multitude of factors, including the type and virulence of the disease-causing agent, the susceptibility and resistance of the host plant, and the environmental conditions such as temperature, humidity, and rainfall. Understanding these dynamics is essential for developing effective disease management strategies that can mitigate the impact of crop diseases on agricultural productivity and food security. The study of crop disease dynamics involves examining the various components of the disease triangle, which includes the disease-causing agent, the host plant, and the environment. Each of these components plays a critical role in the development and spread of crop diseases, and understanding their interactions is essential for developing effective disease management strategies. The disease-causing agent, whether it is a fungus, bacterium, virus, or nematode, plays a critical role in the development and spread of crop diseases. Understanding the biology and ecology of the disease-causing agent, including its life cycle, mode of transmission, and survival strategies, is essential for developing effective disease management strategies. The host plant is also a critical component of the disease triangle, and its susceptibility or resistance to the disease-causing agent plays a major role in determining the outcome of the disease. Understanding the genetic and molecular basis of host plant resistance is essential for developing crop varieties that are resistant to specific diseases. The environment also plays a critical role in the development and spread of crop diseases, and factors such as temperature, humidity, and rainfall can influence the survival and transmission of the disease-causing agent. Understanding the environmental factors that influence crop disease dynamics is essential for developing effective disease management strategies that take into account the specific environmental conditions of a given region. In this chapter, we will explore the complex dynamics of crop diseases, including the interactions between the disease-causing agent, the host plant, and the environment. We will examine the various components of the disease triangle