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Intelligent Data Mining and Fusion Systems in Agriculture presents methods of computational intelligence and data fusion that have applications in agriculture for the non-destructive testing of agricultural products and crop condition monitoring. Sections cover the combination of sensors with artificial intelligence architectures in precision agriculture, including algorithms, bio-inspired hierarchical neural maps, and novelty detection algorithms capable of detecting sudden changes in different conditions. This book offers advanced students and entry-level professionals in agricultural science and engineering, geography and geoinformation science an in-depth overview of the connection between decision-making in agricultural operations and the decision support features offered by advanced computational intelligence algorithms. - Covers crop protection, automation in agriculture, artificial intelligence in agriculture, sensing and Internet of Things (IoTs) in agriculture - Addresses AI use in weed management, disease detection, yield prediction and crop production - Utilizes case studies to provide real-world insights and direction
Unmanned Aerial Systems in Agriculture: Eyes Above Fields bridges the gap between knowledge of concept and real-world use and operations of UASs in agri-production. Based on a valuable combination of themes presented at the 13th European Federation for Information Technology in Agriculture, Food and the Environment (EFITA) and supplemented by targeted invited articles of key-scientists, this book presents a full-spectrum view of the use of unmanned aerial systems (UAS) for agricultural applications. It integrates dispersed knowledge in the field, providing a holistic approach regarding UAVs and other UAS and their use in sustainable decisions. The integrated approach of the book provides a fresh look on contemporary agriculture-related issues, following precision farming approaches, by educating on a range of different issues of remote sensing and its use in agriculture. Furthermore, the operational planning aspects for UAS in agriculture focus part of the book provides information that is missing from other resources. - Addresses practical issues and the latest technology application insights - Provides specialized and comprehensive information for daily use-cases - Ties remote sensing using aerial systems and precision farming issues
Explains the theory behind Machine Learning and highlights how Mathematics can be used in Artificial Intelligence Illustrates how to improve existing algorithms by using advanced mathematics and discusses how Machine Learning can support mathematical modeling Captures how to simulate data by means of artificial neural networks and offers cutting-edge Artificial Intelligence technologies Emphasizes the classification of algorithms, optimization methods, and statistical techniques Explores future integration between Machine Learning and complex mathematical techniques
Advances in automation and control today cover many areas of technology where human input is minimized. This book discusses numerous types and applications of automation and control. Chapters address topics such as building information modeling (BIM)–based automated code compliance checking (ACCC), control algorithms useful for military operations and video games, rescue competitions using unmanned aerial-ground robots, and stochastic control systems.
This book features selected papers presented at the 15th International Conference on Electromechanics and Robotics “Zavalishin's Readings” – ER(ZR) 2020, held in Ufa, Russia, on 15–18 April 2020. The contributions, written by professionals, researchers and students, cover topics in the field of automatic control systems, electromechanics, electric power engineering and electrical engineering, mechatronics, robotics, automation and vibration technologies. The Zavalishin's Readings conference was established as a tribute to the memory of Dmitry Aleksandrovich Zavalishin (1900–1968) – a Russian scientist, corresponding member of the USSR Academy of Sciences and founder of the school of valve energy converters based on electric machines and valve converters energy. The first conference was organized by the Institute of Innovative Technologies in Electromechanics and Robotics at the Saint Petersburg State University of Aerospace Instrumentation in 2006.
Bio-Economy and Agri-Production: Concepts and Evidence bridges the knowledge gap between sustainability and bio-economy aspects of agri-production. It complements traditional perspectives of agri-production with advanced engineering, information and communication technologies recently applied in agri-business. Including knowledgebased agriculture and reflecting sustainability and circular economy principles, the book presents a holistic view of sustainable bio-economy, contributing to the development of integrated agricultural systems. As technology advances, agricultural production management practices are now being called upon to address the need for sustainability in the bio-economy. Bio-Economy and Agri-Production: Concepts and Evidence presents information to broaden the awareness and promotion of practices and technology to reduce the use of inputs, protect health and environment and improve resource-use efficiency. Topics that are addressed include circular economy in agri-business, lifecycle thinking, lean management, agri-chains, green production, and waste management. Bio-Economy and Agri-Production: Concepts and Evidence is a valuable reference for professionals, consultants, and policy making stakeholders in biosystems engineering and agricultural industries - Focuses on responsible management practices to protect the environment while producing needed resources - Application based for those in agricultural sectors seeking to integrate bioeconomic strategies - Provides real-world insights into transitioning practices
The book on "Horticulture Practices and Post-Harvest Technology" is a comprehensive and indispensable resource for anyone involved in the field of agriculture, horticulture, or the post-harvest handling of agricultural products. This meticulously crafted volume delves deep into the intricacies of horticultural practices and the vital role that post-harvest technology plays in the preservation and value enhancement of horticultural produce. The book begins by providing readers with a solid foundation in horticultural practices. It covers everything from the selection of appropriate plant varieties to soil management techniques, irrigation strategies, and integrated pest management. With a focus on sustainability and modern agricultural practices, it equips readers with the knowledge and tools needed to optimize crop yields while minimizing environmental impacts. One of the standout features of this book is its in-depth exploration of post-harvest technology. It delves into the latest advances in post-harvest handling, including sorting, grading, cleaning, and packaging methods. It also offers insights into cutting-edge storage technologies, such as controlled atmosphere storage and refrigeration, which are crucial for extending the shelf life of horticultural products and reducing food waste. Readers will also find practical guidance on transforming fresh produce into value-added products, such as juices, jams, and dried fruits, thereby increasing their economic value. With its comprehensive coverage, up-to-date information, and practical insights, "Horticulture Practices and Post-Harvest Technology" is an invaluable reference for students, researchers, agricultural practitioners, and policymakers alike. It not only deepens our understanding of horticultural practices but also highlights the critical role that post-harvest technology plays in meeting the growing global demand for fresh, high-quality, and sustainably produced horticultural products. This book is a must-read for anyone passionate about advancing agriculture and improving food security in an ever-changing world.
Agricultural Internet of Things and Decision Support for Smart Farming reveals how a set of key enabling technologies (KET) related to agronomic management, remote and proximal sensing, data mining, decision-making and automation can be efficiently integrated in one system. Chapters cover how KETs enable real-time monitoring of soil conditions, determine real-time, site-specific requirements of crop systems, help develop a decision support system (DSS) aimed at maximizing the efficient use of resources, and provide planning for agronomic inputs differentiated in time and space. This book is ideal for researchers, academics, post-graduate students and practitioners who want to embrace new agricultural technologies. - Presents the science behind smart technologies for agricultural management - Reveals the power of data science and how to extract meaningful insights from big data on what is most suitable based on individual time and space - Proves how advanced technologies used in agriculture practices can become site-specific, locally adaptive, operationally feasible and economically affordable