Agricultural and Horticultural Engineering


Book Description

Agricultural and Horticultural Engineering: Principles, Models, Systems, and Techniques focuses on the developments in agriculture and horticulture, including the role of engineers in employing measures in the management of plants, animals, and machinery. The book first offers information on the process of surveying, including tape, compass, and aerial surveying, leveling, barometric leveling with the aneroid, plane tabling, and electronic distance measurement and electronic total. The text then takes a look at models of the environment, material properties, and the relationship between stress and strain. The publication examines workshop methods and hydraulics. Topics include soldering, electric arc welding, low temperature brazing, welding using oxygen-acetylene apparatus, hydrodynamics, and water supply requirements. The text also reviews electricity and electronics and power and thermal systems, as well as alternating voltage supplies, electrical motors, electrical safety, power and energy consumption, and the fundamental principles of electronics. The manuscript is a dependable reference for engineers and readers interested in agricultural and horticultural engineering.




Advanced Technologies for Smart Agriculture


Book Description

This book brings new smart farming methodologies to the forefront, sparked by pervasive applications with automated farming technology. New indigenous expertise on smart agricultural technologies is presented along with conceptual prototypes showing how the Internet of Things, cloud computing, machine learning, deep learning, precision farming, crop management systems, etc., will be used in large-scale production in the future. The necessity of available welfare systems for farmers’ well-being is also discussed in the book. It draws the conclusion that there is a greater need and demand today for smart farming methodologies driven by technology than ever before.




Elements Of Agricultural Engineering


Book Description

PART - I : FARM POWER : Farm Power and Farm Mechnisation * Renewable Energy * Internal Combustion Engine * Measurement of Engine Power * Fuel System * Governor * Lubrication System * Ignition System * Cooling Systems * Farm Tractor * PART - II : FARM MACHINERY : Strength of Materials and Material of Construction * Mechanical Power Transmission * Tillage Implements * Seeding and Fertilizaing Equipments * Pumps for Irrigation * Plant Protection Equipments * Harvesting and Threshing Equipments * PART - III : FARM PROCESSING : Processing Equipments * Grain Driers * Dairy Equipments. PART -IV : FARM ELECTRICITY : Farm Electricity. Appendix* Bibliography * Index.




Sustainable Power Systems


Book Description

This book deals with quantifying and analyzing the risks associated with sustainable energy technology growth in electric power systems, and developing appropriate models and methodologies to mitigate the risks and improve the overall system performance. The rapid increase in the installation of renewable energy sources in electric power systems has given rise to a wide range of problems related to planning and operation of power systems to maintain quality, stability, reliability and efficiency. Additionally, there is a growing global environmental concern regarding increasing emissions from the electric power generation required to meet rising energy needs and support sustainable and inclusive development. The phenomenon of low voltage ride through (LVRT), common to wind energy systems, is discussed, and ways to tackle the same are proposed in the first chapter. Subsequent chapters propose methods of optimizing a sustainable and smart microgrid, and supplying electricity to remote areas of a developing country with no immediate possibility of national grid extension. The economic benefit and technical challenges of forming localized minigrid are also discussed. The book proposes a method for reliability assessment of a power grid with sustainable power transportation system. The issue of weak link in power system is very important as it will provide the system operators and planners to take necessary measures to strengthen the system. An approach to determine the weak parts of the system and its unreliability is proposed. With increasing installation of HVDC power transmission and development of efficient and low cost power electronic devices, the DC microgrids are becoming a common phenomenon. Their existence together with AC Grids result in Hybrid AC/DC Microgrids, which are discussed in this book. It further presents a method for reliability evaluation of a distribution system with network reconfiguration in the presence of distributed generation. The important problems in sustainable energy growth, and their potential solutions discussed and presented in the book should be of great interest to engineers, policy makers, researchers and academics in the area of electric power engineering.




Electricity and Electronics


Book Description

Fundamentals of the fields of electricity and electronics including the technology of the Information Age, applied electricity, alternating current circuits, electronic devices and applications, basic electronic circuits, and electronic communication and data systems.




A-E


Book Description




Predictive Analytics in Smart Agriculture


Book Description

Predictive Analysis in Smart Agricultureexplores computational engineering techniques and applications in agriculture development. Recent technologies such as cloud computing, IoT, big data, and machine learning are focused on for smart agricultural engineering. The book also provides a case-oriented approach for IoT-based agricultural systems. This book deals with all aspects of smart agriculture with state-of-the-art predictive analysis in the complete 360-degree view spectrum. The book includes the concepts of urban and vertical farming using Agro IoT systems and renewable energy sources for modern agriculture trends. It discusses the real-world challenges, complexities in Agro IoT, and advantages of incorporating smart technology. It also presents the rapid advancement of the technologies in the existing Agri model by applying the various techniques. Novel architectural solutions in smart agricultural engineering are the core aspects of this book. Several predictive analysis tools and smart agriculture are also incorporated. This book can be used as a textbook for students in predictive analysis, agriculture engineering, precision farming, and smart agriculture. It can also be a reference book for practicing professionals in cloud computing, IoT, big data, machine learning, and deep learning working on smart agriculture applications.







Deep Learning for Sustainable Agriculture


Book Description

The evolution of deep learning models, combined with with advances in the Internet of Things and sensor technology, has gained more importance for weather forecasting, plant disease detection, underground water detection, soil quality, crop condition monitoring, and many other issues in the field of agriculture. agriculture. Deep Learning for Sustainable Agriculture discusses topics such as the impactful role of deep learning during the analysis of sustainable agriculture data and how deep learning can help farmers make better decisions. It also considers the latest deep learning techniques for effective agriculture data management, as well as the standards established by international organizations in related fields. The book provides advanced students and professionals in agricultural science and engineering, geography, and geospatial technology science with an in-depth explanation of the relationship between agricultural inference and the decision-support amenities offered by an advanced mathematical evolutionary algorithm. - Introduces new deep learning models developed to address sustainable solutions for issues related to agriculture - Provides reviews on the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of sustainable agriculture - Illustrates through case studies how deep learning has been used to address a variety of agricultural diseases that are currently on the cutting edge - Delivers an accessible explanation of artificial intelligence algorithms, making it easier for the reader to implement or use them in their own agricultural domain