eChapters

In the wild (forests) plants grow by their own, but in agriculture because of limited space they don’t have freedom to grow in a much natural way. This can lead to structural irregularities in their growth, and can hamper the overall plant’s development and this will impact the produce or crop yield. To deal with such constraints and to boost the crop production, the methods of thinning and pruning provide efficient ways to train the growth of young plants and maintain the health of grown-up plants.

11.1 Introduction

In agriculture, thinning means the removal of some plants or some parts of plants that show inconsistent growth and or are damaged by some pest or disease, without removing the whole tree or plant. The selective removal of branches, buds or roots is termed as pruning [1]. If the plants are overcrowded in a confined space, the overall health of the crop decreases due to the competitive stress from the neighbouring plants. Thinning and pruning is done to improve the growth rate or health of the plants by decreasing the competitive stress. Thinning and pruning in agriculture is the sensible removal of plant parts such as flowers, shoots, its branches or other parts to correct or maintain that structure of the tree and control be directed growth of the crop. This practice covers the precise removal of the unhealthy and obstructive part of the plant branch, leaves, fruits, buds, fruits, etc. Pruning improves the quality and longevity of the crop, leading to quality produce and increased yield of the field. This also helps in increasing the size of the fruit as it increases the availability of nitrogen required for growing and stimulating growth of the crop. There are several factors that influence the amount of pruning to be done, i.e., age of the plant, condition of the bark and wood, growth characteristics, whether cup crop/plantation is permanent or seasonal [2]. Pruning is done for controlling the size of the plant, controlling the structure makeup of the plant, controlling and improving the light distribution of the plants by the selective removal of leaves to improve the quality of the fruits, removing the diseased parts of the plant and to regulate the fruit crop and increase the life of the tree.

The principle behind thinning and pruning is to admit more sunlight to the branches that bear fruit by the selective removal of the unproductive branches which obstruct the sunlight to fall on the productive branches to increase the productivity white and vitality of the plant to obtain optimum healed of good quality crop [3]. Young trees are pruned so that they acquire the desired shape. In old trees it is done to stimulate flowering. In plants bearing fruits or crops, pruning is done to allow adequate sunlight to fall on fruit bearing branches, so that quality crop is produced. Very old plants heavy pruning is done to restore the vigour of the plant. It is also done so that the loss of nutrients being shared by the diseased peak or shading branches is reduced. The use of robotics and other automated systems can aid in the precise pruning and thinning of the crop. This will also automate the whole process and will save their requirement on the extensive manpower which ultimately saves time.

This chapter describes the components to design the mobile platform. The UN estimates the world population will rise from 7.3 billion today to 9.7 billion in 2050. The world will need a lot more food, and farmers will face serious pressure to keep up with demand. Agricultural robots can be used to increase the production yields for farmers in various ways.

3.1 Role of Robots in Agriculture

A challenging problem in Mechanical Engineering and robotics is the design of a mobile robot. The robot must successfully traverse through its environment, including rough terrain, grass, hills, etc. For correct positioning of the robot, the wheels of the robot must have good traction and never lose contact with the ground. For improved manoeuvrability the robot must also be able to rotate around a centre point as close to its centre of mass as possible. All of these factors have been considered in the design of a second generation outdoor de- mining robot.

A rectangular frame for the robot allows the easier positioning and accessibility of parts within the robot, which is useful in the development phase. Having the wheels up front helps the robot drive onto a slope. A circular frame for the robot would allow the robot to rotate around its true centre, such a frame, with the wheel axle running along the diameter of the frame would need support at the front and back of the robot.

Soilless media or culture

Gravel culture is a general term which applies to the growing of plants without soil in an inert medium into which nutrient solutions are usually pumped automatically at regular intervals. Haydite (shale and clay fused at high temperatures), soft- or hard-coal cinders, limestone chips, calcareous gravel, silica gravel, crushed granite and other inert and slowly decomposing materials are included in the term “gravel”. The more important greenhouse flowering crops include roses, carnations, chrysanthemums, gardenias, snapdragons, lilies, asters, pansies, annual chrysanthemums, dahlias, bachelor buttons and others.

Media ingredients and Mix

Commercially available materials like peat, sphagnum moss, vermiculite, perlite and locally available materials like sand, red soil, common manure/ compost and rice husk can be used in different proportions to grow greenhouse crops. These ingredients should be of high quality to prepare a good mix. They should be free from undesirable toxic elements like nickel, chromium, cadmium, lead etc. Most common medium other than soil used in India in greenhouses is coco peat. In other countries these are Rockwool and Peat-vermiculite.

ABSTRACT

Ethical conduct of research is utmost important which form the basis of overall development of society. Academic institutions can play key role in promoting scientific integrity by creating awareness about scientific misconduct and can frame policies to curb scientific misconduct. As a part of course curriculum knowledge about various issues related to academic integrity can be easily passed to young researchers and students of the institution. Awareness programs can play significant role in promoting research integrity for which academic libraries can be the frontrunner. Librarians’ role is also changing as they have not limited themselves to traditional services but are also providing web based services to the users. They can support research community by providing services like reference management through the use of reference management tools and data management and preservation services. Faculty development programs are also helping the working librarians to update their knowledge. This article discuss about the concept of academic integrity and role of academic institution in promoting it in general and library in particular. PA U library faculty has taken a lead in raising the awareness of students and researchers about research and publication ethics by teaching this course to as part of the course curriculum to research scholars and post graduate students of the university. It is also facilitating teaching community and researchers in plagiarism checking of the manuscripts through the use of antiplagiarism software.

Keywords: Scientific integrity, Research integrity, Research ethics, User education and research ethics, User awareness programs.

2.1 Introduction

Automation of agricultural field with IoT and microcontroller is new era of technology. Arduino based solution to agricultural field is open source platform. It can be used for developing data loggers and new sensors environment. The rate of solutions with Arduino and sensors is high as it is open source platform. The use of Arduino in agriculture can accelerate the growth of automation. Arduino can be interfaced with sensors like:

• Temperature
• Humidity
• Soil Moisture
• Water Pressure
• Water Flow and Water Metering
• Rain Gauge

Blockchain technology has emerged as a revolutionary solution in various industries, and agriculture is no exception. By providing a secure and transparent system for recording and verifying transactions, blockchain has the potential to transform the agricultural sector. In this chapter, we will explore the role of blockchain in agriculture, its benefits, and various use cases that demonstrate its potential. Additionally, we will present key statistics and real- world examples to illustrate the impact of blockchain in agriculture.

Data science supports precision agriculture by converting large and varied agricultural datasets into actionable knowledge. Information from soil sensors, weather stations, satellites, drones and smart machinery can guide field preparation, sowing, irrigation, fertilization, pest control and harvesting. This chapter examines data collection, storage, analytics, machine learning, predictive modelling and real-time IoT monitoring. It explains how these tools can optimize water, nutrients, energy and other agricultural inputs while improving productivity and sustainability. Implementation challenges include high costs, insufficient technical knowledge, privacy concerns and inadequate digital infrastructure. Emerging cloud, edge, blockchain and artificial-intelligence technologies are discussed as mechanisms for advancing climate-smart and data-driven agricultural management.

Introduction

The digital farming solutions by various advanced tools and technologies became a prime important to see the future smart agriculture in India with enhanced productivity and farmer’s lifestyle upliftment. The agriculture industry facing challenges from farm to market by climate interfacing and energy conservations practices during farming operations. The use of innovative industry 5.0 is targeting a farming society to achieve high productivity by hardware devices like Robots, Drones, Automated Guided Vehicles (AGVs) working on the basis of Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Big-Data, IoT and Cloud-based software tools and interactive software programs.

The use of tractors, combine harvesters, power tillers etc. like advanced machineries are practiced in present farming practices by youth farmers; however the digital tools with an automation of existing advanced farm machinery became an attraction to see human comfort. The custom operative design and development of digital tools are essentially becomes a need to innovate and exercise in finding best technologies for Indian farming society. The agricultural society spent several years and now also synthesizing an operational description for digital farming. There are several ways of opting solutions by using new digital logistic tools with software and hardware engagements. As we know agricultural production is influenced by climate, weather, soil properties, plant genetic profile, plant peripheral environment, plant protection, plant nourishing, harvesting and post harvesting like operational tasks. All such a challenging task can be handled by advanced digital tools and technologies.

The use of drones, or Unmanned Aerial Vehicles (UAVs), in the agriculture sector has ushered in a new era of precision farming. These versatile flying machines equipped with advanced sensors and cameras have the potential to transform various agricultural activities, resulting in increased productivity, reduced costs, and more sustainable practices.

This chapter explores the history of drones, their components and functioning, the numerous agriculture activities where drones can be employed, the benefits they offer, real-world use cases, challenges in adoption, and possible solutions to fully realize their potential in the agriculture sector.

INTRODUCTION OF ASSESSMENT OF SOIL MOISTURE LEVELS IN DRONES
In contemporary agriculture, effective water management is essential for optimizing crop yields while reducing resource consumption. Drones have become a transformative device for evaluating soil moisture levels and identifying irrigation requirements, providing farmers with accurate, real-time data to enhance water utilization. Equipping drones with sophisticated sensors, including thermal, multispectral, and LiDAR, enables them to assess soil conditions over extensive regions, offering insights on moisture fluctuations and pinpointing arid areas in fields. This data-driven methodology not only improves the precision of irrigation schedules but also mitigates water waste, fosters sustainability, and boosts overall crop vitality. Utilizing drones enables farmers to make informed decisions, resulting in more efficient and cost-effective irrigation methods.
Drone soil analysis utilizes drones fitted with specific sensors to gather data on the physical and chemical characteristics of soil. This data may encompass details regarding soil texture, organic matter content, nutrient concentrations, moisture levels, and pH. Various sensors are employed for distinct soil qualities. Multispectral sensors acquire data across several wavelengths of light, offering insights on plant health and soil properties. Hyperspectral sensors acquire data across numerous tiny spectral bands, yielding enhanced insights into soil composition.
Thermal sensors quantify soil temperature, serving as an indicator of soil moisture content and additional characteristics. The data is subsequently processed and analyzed to generate comprehensive maps of soil variability within a field, offering farmers critical insights to inform their management decisions.

Introduction

Global warming needs a shift to automobile solutions that reduces/ do not produce greenhouse gas emissions. Automobile related pollution is the major source for reduction in air quality in Indian cities. India need to reduce dependency on a fossil- fuel and reduced transportation related emissions. People living in some of the Indian cities are being affected by noise pollution and electric vehicles may contribute to a reduction in noise pollution levels in the cities. Energy efficiency and emissions are two important contributing factors in transportation across the globe.

Abstract

Meat is considered to be a highly perishable food commodity because of its biological composition. Thus, to extend its shelf life and maintain its nutritive value, there is an urgent need to find out alternatives for synthetic anti-microbial and anti-oxidants. This will not only serve the purpose of meat product manufacturer’s but will also satisfy the consumers’ demand for minimally processed meat products devoid of synthetic preservatives. This review discusses the natural antimicrobial and anti- oxidants sources viz., various essential oils, their composition and application in different meat and meat products. Essential oils from basil, rosemary, thyme, oregano, ginger, basilica, balm, coriander, rosemary and clove have exhibited a better potential to be used as an antimicrobial agent in meat and meat products. They owe their anti-microbial properties to the phenolic compounds present in them. They dislocate cell membrane and disrupt functionality of bacterial cell membrane and eventually leading to the release of intracellular components. However, essential oils are not widely used due to the pungent and intense aroma imparted to the food, thus there is still need to work out on the novel technologies which can not only increase food shelf life but at the same time, are sensorially acceptable to the consumers.

The role of farmers in Citizen Science is a rapidly evolving field that holds tremendous promise for transforming the way we approach agricultural research and development. By leveraging the knowledge, expertise, and experiences of farmers, Citizen Science initiatives can help address some of the complex challenges facing agriculture today, from climate change and soil degradation to water scarcity and pest management.
One of the key benefits of involving farmers in Citizen Science is that it allows for the integration of local knowledge and expertise into the research process. Farmers have a deep understanding of their land, crops, and ecosystems, which can provide valuable insights into the complex relationships between agriculture, environment, and society. By tapping into this knowledge, researchers can develop more effective and sustainable solutions to agricultural challenges.
Another advantage of farmer-led Citizen Science is that it can help to increase the relevance and effectiveness of research. By involving farmers in the design and implementation of research projects, researchers can ensure that their work is addressing the real-world needs and concerns of agricultural communities. This can help to bridge the gap between research and practice, and ensure that scientific knowledge is translated into practical solutions that benefit farmers and their communities.
Furthermore, the involvement of farmers in Citizen Science can also help to promote greater equity and inclusivity in agricultural research. By providing opportunities for farmers to participate in research, Citizen Science initiatives can help to empower marginalized communities and promote social justice. This can be particularly important in developing countries, where smallholder farmers often lack access to resources, information, and decision-making power. In addition, farmer-led Citizen Science can also contribute to the development of more sustainable and environmentally-friendly agricultural practices. By working together with researchers and other stakeholders, farmers can help to identify and promote practices that reduce environmental degradation, conserve natural resources, and promote ecosystem services.
Overall, the role of farmers in Citizen Science has the potential to transform the way we approach agricultural research and development. By leveraging the knowledge, expertise, and experiences of farmers, we can develop more effective, sustainable, and equitable solutions to the complex challenges facing agriculture today.

The agricultural sector is undergoing a significant transformation, driven by the increasing use of digital technologies, such as precision agriculture, drones, and satellite imaging. One of the key outcomes of this transformation is the generation of vast amounts of data, which can be used to inform decision-making, improve crop yields, and enhance the overall efficiency of agricultural operations. Farmers, researchers, and policymakers require effective tools and strategies for managing and analyzing these data to extract valuable insights and inform decision-making. This is where Farmers’ Data Base Management and Analysis comes into play (Fig.6.1).
6.1 Importance of Data Management and Analysis in Agriculture
6.1.1 Effective Data Management and Analysis are Critical in Agriculture, as they Enable
• Improved crop yields: Data analysis can help identify optimal planting dates, irrigation schedules, and fertilizer applications, leading to increased crop yields and better quality crops.

Introduction 
Fossil fuel consumption is associated with a number of grave problems, including economic distress and increased greenhouse gas emissions that cause global warming. The world’s population and environment are deeply concerned about these issues, which are a result of rising greenhouse gas emissions and the depletion of fossil fuels. Furthermore, there has been much discussion about the effects of relying so heavily on petroleum-derived fuels on the environment, the economy, and energy efficiency [1]. According, high process costs, inadequate infrastructure, and other technological challenges impede the manufacturing of second- and third-generation biofuels [2]. The main role of enzymes and other microorganisms during fermentation is as a catalyst to speed up the process of turning saccharides into alcohol. In this kind of biofuel production, lignocellulosic and algal material make up the majority of the biomass used to produce ethanol. The biochemical variety of microalgae is employed in numerous biotechnological and commercial applications [3]. The use of non-usable biomass has been enhanced with each new generation, which lowers production costs and speeds up the manufacture of biofuels. A wide variety of biofuels, such as biogas, bioethanol, biohydrogen, and biodiesel, can now be produced thanks to the application of nanotechnology. In order to convert triglycerides into biofuels, two important chemical events must occur: trans-esterification and esterification [4]. The majority of the nano-catalysts needed to produce biofuel come from microbial fuel cells. Nanoparticles, nanosheets, and nanotubes are examples of these nanocatalysts [5]. The utilization of nanotechnology in the biofuel production process holds promise for enhancing the effectiveness of current procedures. Compared to the production of biofuels, the synthesis of nanoparticles is much more interesting due to the potential applications, challenges, and opportunities that it presents [6]. Here, we review the literature on the application of nanotechnology to improve bioenergy production from algae processing. The different kinds of nanoparticles, including metallic, magnetic, metal oxide-based, and carbon nanotubes that are utilised in the production of bioethanol and biodiesel are covered on this page. A focus is placed on the application of these nanomaterials and how they affect the extraction and transesterification of lipids [7]. This chapter makes the connection between the advancement of nanotechnology and its contribution to the creation of a more efficient and sustainable technique for processing algal biomass to produce bioenergy.

Introduction 
The demand for alternative energy sources is on the rise as a result of global apprehensions regarding the swift exhaustion of fossil fuels, escalating energy usage, and significant environmental challenges (Lijó et al. 2019). Microalgae are regarded as highly favorable raw materials for upcoming energy sources, thanks to their various advantages, including rapid growth rates, elevated lipid contents and resistance to a variation of pH, temperature, light intensity, and salinity (Goswami et al. 2022; Zhang et al. 2022; Wang et al. 2019; Das et al. 2011). As per a recent evaluation of the lipid production efficiency of microalgae biomass, numerous nations could derive their transport fuel (~30%) from microalgae biomass grown on non-agricultural areas (Moody et al. 2014). Apart from their higher lipid production efficiency in contrast to earthly raw materials, microalgae consist of lipids, polysaccharides, pigments, proteins, and nucleic acids, making them versatile raw materials for a range of finalized outcomes, including nutrients, pharmaceuticals, biofuels, and bioplastics (Tang et al. 2020; Kim et al. 2016; Moody et al. 2014; Sharma et al. 2011). Additionally, microalgae are appealing for their efficient sequestration of CO2 during photosynthetic growth (Vargas-Estrada et al. 2020). In contrast to landbased oilseeds, microalgae can be cultivated in freshwater and contaminated or saline locations, eliminating the requirement for substantial nitrogen fertilizer application (Sharma et al. 2022; Rashid et al. 2019; Lam and Lee 2012). The positive attributes of microalgae as raw materials have prompted substantial research endeavours aimed at the commercialization of microalgal biofuels. Regrettably, microalgal biorefineries continue to encounter various technological and economic challenges (Khoo et al. 2020). In essence, nanotechnology involves the invention, creation, and utilization of resources at the nanoscale. Precisely, nanomaterials engineering explores the synthesis and designing of artificial or adorned nanoparticles to drive technological progress and enable applications that would otherwise be impractical. Nanomaterials possess surface areas hundreds of times greater than their weights, significantly enhancing their physico-chemical attributes (Husen and Siddiqi 2014; López-Serrano et al. 2014). Currently, nanotechnology-driven developments, with diverse potential features, have emerged as a burgeoning trend in various industries, including drug delivery, food industry, catalysis, coatings, agriculture, bioremediation, cosmetics, and materials science (Malik et al. 2023). Nanoparticle engineering offers practical and potential solutions to address the problems that arise at different phases of the microalgal biorefinery procedure. For instance, diverse nanomaterials have been proposed as ways to enhance transformation efficacy and the quality of green diesel. The distinctive capabilities of nanoscience and nanomaterial engineering exert a substantial impact on the commercial feasibility of microalgae derived products, including bioactive compounds, oils, lipids, and biofuels (Kumar et al. 2020; Milano et al. 2016). Nanoparticles have the capacity to boost intracellular fatty acid synthesis and complete microalgal biomass, leading to substantial reductions in production expenses. The presence of nanomaterials enhances the efficiency and speed of the microalgae harvesting, and the recoverability and reusability of these materials contribute to improved production efficiency.

2.1. Recommendation of expert committees

Commercial banks tended to concentrate more on industrial sector than agricultural sector.

Indian Central Banking Committee (1931), Agricultural Finance Subcommittee (1945), Rural Banking Enquiry Committee (1950), All India Rural Credit survey committee (1951), All India Rural Debt and Investment Survey (1961-62) and Informal Group on Institutional Arrangements for Agricultural Credit (1964) suggested that financing agriculture by commercial banks was not significant (Until 1950).

3.1 Introduction

Internet of Things (IoT) allows computational devices and sensory support to connect with each other and access services on the Internet. The IoT idea was introduced to connect devices through the Internet and facilitate access to information for users. The potential application of IoT includes agriculture. The aim of this chapter is to explain the role of NodeMCU in the agriculture field. NodeMCU is IoT module which can be used to present the IoT concept as a basis for monitoring and control. The systems used in farm production processes. NodeMCU play a key role, with a focus on their realization by available microcontroller platforms and appropriate sensors. IoT based system provides opportunity to users to monitor and control the process remotely.

Abstract

This study evaluates the potential of remote sensing techniques for assessing the relationship between land degradation and poverty in Pali development block of Rajasthan. Due to climatic conditions that prevail in this area of the country, less facilities and management practices to conserve land and its fertility becomes an important factor for intensifying poverty. The other countenance of this is that it is poverty which leads to land degradation. This paper assesses the impact of poverty and land degradation on each other. The desertification intensity and BPL density is calculated and relation is seen using Chi square test. The goodness of fit is seen up to 5 per cent level of significance for land degradation and demographic data.  The desertification in agricultural area is also considered. The total degradation in the block calculated is 8.39 per cent. It is found that village with highest BPL density has more degradation intensity particularly in agricultural area, proving the agricultural based economy of the dry lands in Rajasthan. An example study is also done at village level.  Using cadastral map and satellite image classification, fields that require immediate attention have been identified. Demographic and degradation maps are also prepared.