eChapters

As video editing continues to evolve, so do the techniques and software that enable editors to create polished, captivating visuals. Advanced editing techniques like precision cutting, mixing, and using sophisticated software tools allow editors to enhance storytelling, manipulate pace, and shape the emotional experience of their audience. This chapter dives into these advanced techniques, exploring how each tool and method contributes to a compelling final product.
1. The Art of Cutting: Techniques for Seamless Storytelling
Cutting is a fundamental editing skill that determines the pacing, continuity, and flow of a video. Advanced cutting techniques, such as L-cuts, J-cuts, and match cuts, serve as the foundation for creating dynamic narratives.
• Types of Cuts
• L-Cut and J-Cut: L-cuts and J-cuts are used to transition between audio and video in ways that flow more naturally and create smoother  continuity between scenes. These are essential techniques for dialogue-driven scenes or scenes that require seamless transitions between different locations or times.

Electrophoresis

The mobility of ions in an electric field is the basis for the separation method known as electrophoresis. Ions that are negatively charged move toward a positive electrode, while those that are positively charged move toward a negative electrode. Usually, one electrode is biased either positively or negatively, and the other is at the ground for safety reasons. Ions can be distinguished from one another based on their size, shape, and overall charge, which determine their migration rates.

Poly Acrylamide Gel Electrophoresis (PAGE)

Introduction

Electrophoresis is an electrochemical process in which substances with a net electric charge migrate under the influence of an electric current. This migration occurs in an agar gel or a liquid- filled buffered matrix such as cellulose acetate. Positively charged substances travel toward the cathode (negative electrode), while negatively charged substances go toward the anode (positive electrode). Different substances move at different rates depending on their charge. This movement is called electrophoretic mobility.

Proteins are charged molecules. They have a positive as well as a negative charge. Among proteins, particularly caseins, they have different contents. The charge density also varies depending on the molecular weight. Proteins have a net negative charge at a pH above 4.6, and hence they move towards the anode (positive electrode) when subjected to an electric field under alkaline conditions. Due to differences in the charge of individual protein fractions, their migration rates also differ and are hence separated into distinct bands. These bands are stained with the dye amido- black, destained with 7% acetic acid, and observed for the electrophoretic pattern.

The advent of advanced technologies and methodologies has revolutionized the field of crop disease forecasting, enabling researchers and practitioners to develop more accurate, reliable, and efficient forecasting systems. Conventional methods of disease forecasting, such as weather-based forecasting and statistical modeling, have been widely used for predicting crop disease outbreaks. However, these methods have several limitations, including reliance on historical weather data, limited spatial and temporal resolution, and lack of mechanistic understanding of disease development. In recent years, advanced methods of crop disease forecasting have emerged, leveraging cutting-edge technologies and methodologies to improve the accuracy, reliability, and efficiency of disease forecasting systems. These advanced methods include machine learning algorithms, artificial neural networks, geographic information systems (GIS), remote sensing technologies, and precision agriculture techniques. These methods have been shown to be highly effective in predicting crop disease outbreaks, and have the potential to revolutionize the field of crop disease management. Machine learning algorithms, for example, can be trained on large datasets of weather, crop, and disease data to identify complex patterns and relationships that may not be apparent through conventional statistical analysis. Artificial neural networks can be used to develop predictive models that can learn from experience and adapt to changing conditions. GIS and remote sensing technologies can be used to analyze and integrate spatial data on weather, crop, and disease patterns, enabling researchers and practitioners to identify areas of high disease risk and target interventions more effectively. Precision agriculture techniques, such as precision irrigation and fertilization, can be used to optimize crop growth and reduce disease susceptibility. These advanced methods of crop disease forecasting have the potential to transform the field of crop disease management, enabling researchers and practitioners to develop more effective and efficient disease management strategies. This chapter will provide an overview of these advanced methods, highlighting their potential applications and benefits in crop disease forecasting.
11.1 Remote Sensing Technology
Crop disease forecasting using remote sensing involves the use of satellite or aerial imagery to detect and predict crop disease outbreaks. The principles

Climate-based/smart (digital) irrigation practices and its management, irrigation automation, sensors based irrigation, robotic application in irrigation and artificial intelligence
Climate-smart (digital) irrigation: Aims and Objectives
Climate-smart irrigation (CSI) is a vital part of climate-smart agriculture,
aiming to
• Boost the productivity of irrigated farming and farmer incomes while minimizing negative social, political, and environmental consequences.
• Bridge the gap between potential and actual crop yields across different climates.
• Enhance the resilience of irrigated farming and related supply chains to current and future climate change impacts and other risks.
• Adapt irrigated farming to climate change by capitalizing on new opportunities and mitigating adverse effects.
• Reduce greenhouse gas emissions per unit of food, fiber, or fuel produced in irrigated systems, from farm to market.
• Identify and prioritize ways to cut GHG emissions from irrigated systems at various stages, from water sourcing to post-harvest processes.
• Improve the environmental sustainability of irrigated farming and supply chains while safeguarding water access for communities, protecting vulnerable groups’ livelihoods, and preserving aquatic ecosystems.
• Improve the sustainability and reducing the GHG emissions of existing crop production systems.
Irrigation is key to stable agricultural production, especially in dry conditions. CSI aims to improve existing and new irrigation systems by incorporating climate-smart principles. While good irrigation infrastructure is essential, it’s not enough. Effective CSI also requires supportive policies, strong institutions, good water governance, secure land and water tenure, farmer knowledge, market access, and credit availability.

Kerala has a tropical humid weather characterised by high rainfall and humidity. The intense rainfall during June-September is a limiting factor for vegetable cultivation. High cost of labour, rapid urbanisation, small size of holdings and quality conscious consumers are some of the factors favouring protected cultivation in Kerala. Rain shelters and modified naturally-ventilated polyhouses are recommended structures for protected cultivation of vegetables. The important vegetables grown are cucumber, yard long bean, Capsicum, okra, tomato, cabbage, cauliflower and leafy vegetables. The conventional saw-toothed structure has been modified to suit Kerala weather by making variation in height and improving the roof and side ventilation so that temperature variation inside the structure is only 1°C compared to the ambient. The Kerala Agricultural University has also developed an ad-hoc package for protected cultivation of vegetables, considering the soil and weather parameters and is providing necessary technical support to growers and extension officers. The technology for large-scale production of virus-free vegetable transplants in pro-trays has also been standardized. There is a growing demand for quality, disease-free seedlings and technology can be scaled up into a profitable agri-entreprenurial model. Open field precision farming through fertigation and mulching is profitable compared to conventional system of cultivation. Besides maximising water-and nutrient-use efficiency of the crop, this technology offers scope for mechanisation in vegetable cultivation saving human labour requirement by almost 50%. Rain shelters are useful for year-round production of vegetables in homestead for small growers.

Orchids are known for their exquisite beauty and trade in global floriculture business. The Netherlands is pioneer in roduction and ex ort of tem erate orchid while Thailand and Hawaii are the world leader in tropical orchids, respectively. Recently, Malaysia, Singapore, Thailand and Sri Lanka are catching the international market. The orchid industry is expanding in terms of magnitude in some of the major orchid-producing nations. The global orchid market has passed $ 1 Billion mark in 2010. The leading orchid producing countries in 2010 are:

Country Production ($ million) Japan 280 USA 170 Taiwan 130 China 70 Brazil 60 UK 45 Thailand 35 Italy 30 New Zealand 20 Source: Orchid News The world consumption of orchids (potted plants) is valued more than $ 500 million (2000). The Dominican Republic, Costa Rica and India have recently begun to produce orchids for export. Commercial production of orchids has increased dramatically through the world in the past quarter century. The most common genera sold in Japan from 1993 to 2002 were Phalaenopsis (30%), Nobile type Dendrobium (20%), Oncidium (20%), Cymbidium (15%) and Cattleya (10%). The potted orchids sold through Dutch flower auctions increased from 50, 0000 to 18 million pots.

Floriculture industry comprises of cultivation and trade of cut and loose flowers, potted plants, foliage and bedding plants, and dried flowers under open field as well as protected conditions. Globally, more than 145 countries are involved in cultivation of floricultural crops. Though the art of growing flowers is not new to India, protected cultivation is relatively new in India. Enormous genetic diversity, varied agroclimatic conditions, versatile human resources offer India a unique scope for diversification into new avenues which have not been explored to a greater extent. India also has a strong dry flower industry, which contributes a major share to the overall trade. Other segments like fillers, potted plants, seeds and planting material, turf grass industry and value-added products also contribute a share in overall growth of floriculture industry.

Cut flower production is a growing business in most of the Asian countries. Technology for production is well-known and it has been utilized to the maximum in many countries. As a consequence, cut flowers are commercially produced in larger quantities in these countries, resulting in surplus quantity during normal periods of blooming. On the other hand, such prices are much higher during the periods of needs such as certain special occasions, or off-season.

The age-old struggle between crops and diseases has been a perpetual challenge for farmers and agricultural stakeholders worldwide. Weather patterns play a pivotal role in the development and spread of crop diseases, making it essential to integrate weather wisdom into crop disease management strategies. By analyzing historical and real-time weather data, farmers and agricultural experts can anticipate, prepare for, and respond to disease outbreaks more effectively, minimizing crop losses and ensuring food security. Effective crop disease management based on weather wisdom involves a three-pronged approach. It begins with caution, where historical climate data and disease surveillance reports are analyzed to identify potential correlations between weather patterns and disease outbreaks. This information helps farmers and agricultural experts to recognize early warning signs of disease susceptibility, such as temperature fluctuations, precipitation patterns, and humidity levels. For instance, excessive rainfall can lead to an increased risk of fungal diseases, while drought conditions can exacerbate bacterial diseases (Fig. 13.1). The confirmation phase involves closely monitoring real-time weather forecasts and disease surveillance data to detect early warning signs of an impending disease outbreak. Advanced technologies, such as satellite imaging and sensor-based monitoring systems, provide valuable insights into crop health and disease development. By combining these data streams, farmers and agricultural experts can confirm the presence of disease-causing pathogens and take targeted action to prevent their spread. Finally, a call to action is triggered, prompting farmers and agricultural stakeholders to implement integrated disease management strategies. These may include cultural practices, such as crop rotation and sanitation, biological controls, such as introducing beneficial microorganisms, and chemical controls, such as targeted fungicide applications. By leveraging weather wisdom, farmers can optimize their disease management strategies, reducing the reliance on chemical pesticides and minimizing environmental impact. By embracing weather wisdom, crop disease management can be transformed from a reactive to a proactive approach. Farmers and agricultural stakeholders can stay one step ahead of disease-causing pathogens, protecting their crops and ensuring a stable food supply. As we explore the intersection of weather wisdom and crop disease management, it becomes clear that this integrated approach holds tremendous potential for revolutionizing the way we predict, prevent, and respond to crop diseases.
13.1 Caution
Approaches to Caution Farmers on Crop Diseases, Information Generation, and Communication using Mobile Technology To caution farmers on crop diseases, it is essential to adopt a multi-faceted approach that leverages mobile technology to generate and disseminate critical information. This approach should focus on empowering farmers with timely and accurate information, enabling them to take proactive measures to prevent and manage crop diseases. Firstly, a robust disease surveillance system should be established to monitor and track crop disease outbreaks in real-time. This can be achieved through a network of field scouts, extension agents, and research institutions that report disease incidence and severity to a central database. Mobile-based applications can be used to facilitate data collection, transmission, and analysis, ensuring that critical information is captured and disseminated promptly. Once disease outbreaks are detected, mobile technology can be harnessed to generate and disseminate alerts to farmers. This can be achieved through Short Message Service (SMS) or voice messages, which can be sent to farmers’ mobile phones, warning them of potential disease risks and providing advice on management strategies. Mobile-based applications can also be used to push disease alerts, advisories, and management recommendations to farmers, ensuring that they receive critical information in a timely and accessible manner. To enhance the effectiveness of these alerts, it is essential to ensure that they are tailored to the specific needs and contexts of farmers. This can be achieved

The effects of weeds, pests, and diseases result in the loss of between 20 40% of the world’s potential agricultural yield each year. By reducing crop loss from pest infestations, the use of pesticides can boost agricultural output by 25–50%. Only 25 to 30 percent of the area that is now being grown is protected by pesticides. Because domestic pesticide use is among the lowest in the world, there is significant room for expansion. India uses 0.6 kilogramme of pesticides per hectare compared to the global average of 3 kg per hectare. The use of crop protection products must be enhanced. There are now 1175 compounds accessible in the world, however only roughly 292 of them are registered in India.

Introduction 
Information and Communication Technology (ICT) has emerged as a transformative force in agriculture, significantly enhancing access to information, improving productivity, and promoting sustainable practices. The integration of ICT tools facilitates the dissemination of critical agricultural knowledge, enabling farmers to make informed decisions regarding planting, pest control, and market trends. This technological advancement is particularly beneficial for small-scale farmers who often face challenges in accessing timely and relevant information. ICT platforms such as mobile phones and radios play a crucial role in providing small-scale farmers with access to essential agricultural input information, aiding them in making informed decisions (Fosu & Giba-Fosu, 2024). Furthermore, ICT tools, including e-learning platforms and mobile applications, have revolutionized agricultural extension services by providing direct access to advisory services and expert knowledge. The use of social media and mobile communication has also improved interactions between farmers and agricultural experts, thereby increasing the effectiveness of extension programs (Bhat et al., 2024). The advent of digital and smart agriculture, supported by ICT, incorporates technologies such as remote sensing, precision agriculture, and automated machinery to optimize farming practices and reduce labor dependency (Yoe, 2024). Agri-informatics, a specialized branch of ICT in agriculture, leverages emerging technologies like Big Data and the Internet of Things (IoT) to develop sophisticated agricultural systems, promoting smart farming practices (Jena, 2024). While ICT provides numerous advantages, challenges such as infrastructural limitations, economic constraints, and disparities in digital literacy hinder its widespread adoption. Addressing these barriers through policy interventions and capacity-building initiatives is crucial for maximizing the potential of ICT in agriculture. Artificial Intelligence (AI) is increasingly integrated into agriculture to address contemporary challenges such as climate change, population growth, and the demand for sustainable food production. AI applications in soil and crop monitoring, predictive analytics, and agricultural robotics are gaining attraction, assisting farmers in data collection and analysis (Smith, 2020; Gupta et al., 2023). Moreover, automation in agriculture, driven by AI, addresses issues such as crop diseases, irrigation management, and pest control. Techniques like IoT, machine learning, and deep learning contribute to the automation of farming practices, increasing soil fertility and productivity (Jha et al., 2019). Robotics and automated systems minimize human intervention, thereby enhancing farm efficiency and sustainability (Eli-Chukwu, 2019). The implementation of AI in agriculture yields numerous benefits, including enhanced productivity, costeffectiveness, and sustainability. AI assists in optimizing resource utilization,

India, with 118.7 million farmers, which accounts for more than half of its population, depends on agriculture as its primary source of income. However, the use of technology in the agricultural industry has been limited in India. As a result, the agriculture industry in India contributes merely 17-18% to its GDP. However, in the last couple of years, India has seen a rise in the number of agri-tech startups that are not only making technology more accessible but also helping these farmers to improve their lives. Today, we will take a look at top 10 agri-tech startups helping Indian farmers.
1. CropIn Technology (2010): Founded by Krishna Kumar and Kunal Prasad in 2010, CropIn provides one-stop SaaS-based solutions platform enabling agribusinesses to increase efficiency, productivity
and sustainability. Its platform offers real-time weather updates, ability to manage farm activities, and predicts crop yields to minimize risk and yield better produce.
2. Stellapps (2011): Founded by RanjithMukundan, Ravishankar G. Shiroor, Praveen Nale, Ramakrishna Adukuri and VenkateshSeshasayee in 2011, Stellapps helps dairy farmers and cooperatives to maximize their profits by digitizing and optimizing Milk Procurement &Coldchain Management through its IoT-based SmartMoo platform.
3. DeHaat (2012): Founded by Shashank Kumar and Amrendra Singh in 2012, DeHaat offers agricultural services like access to agricultural inputs like seeds and fertilizers at affordable prices, personalized assistance, soil testing, weather reports, micro-finance, and insurance. DeHaat has raised $19.3 million to help Indian farmers.

1.    The concept of agribusiness was born in Harvard University in the year____________.

(a) 1947

(b) 1956

(c) 1967

(d) 2006

2.    In agriculture education system, the concept of “Agribusiness” was first time used by

(a) John Davis

(b) P F Drucker

(c) Henery Foyal

(d) F.W. Taylor

Principle of field drainage and methods of drainage, Benefits of drainage
Biological drainage
Importance of bio-drainage in water logged conditions
Bio-drainage and soil salinity
Agricultural Drainage
Excess water in the crop root zone soil is injurious to plant growth. Artificial drainage is essential on poorly drained agricultural fields to provide optimum air and salt environments in the root zone. Crop yields are drastically reduced on poorly drained soils, and, in cases of prolonged waterlogging, plants eventually die due to a lack of oxygen in the root zone. Waterlogging in irrigated regions may result in excess soil salinity, i.e., the accumulation of salts in the plant root zone.
Sources of excess soil water that result in high water tables include: high precipitation in humid regions; surplus irrigation water and canal seepage in the irrigated lands; and artesian pressure. Agricultural drainage is the removal of excess water from the soil surface and/or soil profile of cropland, by either gravity or artificial means. In some soils, the natural drainage processes are sufficient for growth and production of agricultural crops, but in many other soils, artificial drainage is needed for efficient agricultural production.
Agricultural drainage improvement can help reduce the year-to-year variability in crop yield, which helps reduce the risks associated with the production of abundant, high quality, affordable food. Improved access of farm equipment to the field provides more time for field activities, can help extend the crop production season, and helps reduce crop damage at harvest.
Agricultural drainage conditions around the world can be grouped according to three agro-climatic zones: the temperate zone, the arid and semi-arid zone and the humid and sub-humid zone.
In the temperate agro-climatic zone the major role of drainage is to prevent waterlogging, i.e., excess water in the root zone of crops from surplus rainfall.

Old and Modern biotechnology
Agriculture has evolved since the dawn of human civilization, first as a means to guarantee food supply and then, as a source of family income and improved profitability. Domestication of plants and animals that were found in the wild combined with gradual, long-term changes in their quality and quantity were the first signs of what is now collectively termed “Agriculture”. At that time, agriculture replaced the former nomadic habit of food collection for immediate consumption. Domestication of plants and animals, followed by food storage, coincided most probably unintentionally, with the growth of microorganisms. Thus, was born the classical food fermentation, the earliest known application of biotechnology, focusing on the use of microorganisms to produce food products.
Gradual improvements in agricultural techniques, domestication of additional plant and species from the wild, step-by-step selection of better performing and more adapted genotypes, along with intuitive breeding continued at a slow pace. Mendel’s discoveries and laws revolutionized genetics, and led at the beginning of the 20th century, to planned and controlled breeding experiments. Breeding or the “old biotechnology” was harnessed as a most successful tool, resulting in better crops and farm animals, and “Green Revolution” of the 1960s was achieved. Many achievements are still being successfully implemented since then.

Abstract

This chapter explains the cooperation which create social relations that help individuals achieve goals that they could not achieve alone. They also help farmers benefit from economies of scale and reduce risks, and empower their members economically and socially by involving them in decision-making processes.

Agricultural drought management is a critical aspect of ensuring food security and sustainable agricultural practices, particularly in regions prone to water scarcity. Droughts, characterized by prolonged periods of abnormally low rainfall, can have devastating effects on crop yields, livestock productivity, and the livelihoods of farmers. Effective drought management strategies are essential for mitigating these impacts and enhancing the resilience of agricultural systems. Agricultural drought occurs when the soil moisture is insufficient to meet the needs of crops, leading to reduced growth, lower yields, and increased plant stress. This type of drought can be particularly challenging because it directly affects food production and the agricultural economy. Unlike meteorological droughts, which are defined by the degree of dryness compared to normal conditions over a specific period, agricultural droughts focus on the impact of drought on crops and agricultural productivity.

Water is the lifeblood of agriculture, fundamentally dictating the success or failure of crop production worldwide. While sufficient and timely rainfall, or adequate irrigation, ensures healthy plant growth and bountiful harvests, an imbalance in the water supply can quickly escalate into a crisis. Among the various forms of drought—meteorological, hydrological, and socio-economic - agricultural drought stands as the most direct and immediate threat to food security and farm livelihoods. It represents a critical shortfall in the moisture necessary to sustain crop growth, leading to reduced yields, compromised crop quality, and often, complete crop failure (Fig. 9.1). effective mitigation and adaptation strategies. This chapter will delve into the precise definition of agricultural drought, differentiate it from other drought types, and critically examine its various forms based on the timing of water deficit during a crop’s life cycle. By dissecting the characteristics of early season, mid-season, terminal, and apparent permanent droughts, we aim to provide a comprehensive understanding of how water scarcity at different stages impacts crop physiology, productivity, and the broader agricultural landscape.

3.1. Agriculture
• The term agriculture originates from the Latin words ager, meaning soil, and cultura, meaning cultivation.
• In its broadest sense, agriculture refers to the cultivation of crops and the rearing of livestock for production.
• It is essentially synonymous with farming, involving the field-based production of food, fodder, and industrial organic materials.
3.2. Economics • Economics is the science that studies as how people choose to use scare productive resources (like land, labour, capital and organiser) to produce various goods and to distribute these goods to various members of the society for their consumption.
3.3. Agricultural Economics
• Agricultural economics is a branch of applied economics that applies the principles of choice to the efficient use of scarce resources such as land, labor, water, seeds, and fertilizers in farming and related activities.
• It focuses on guiding farmers in the optimal utilization of land, labor, and capital.
• Its significance lies in providing practical solutions to help farmers maximize income while managing limited resources effectively.
3.4. Definitions
1. Prof. Gray has defined agricultural economics as “The science in which the principles and methods of economics are applied to the special conditions of agricultural industry”.