Agricultural systems are uniquely complex systems, given that agricultural systems are parts of natural and ecological systems. Those aspects bring in a substantial degree of uncertainty in system operation. Also, impact factors, such as weather factors, are critical in agricultural systems but these factors are uncontrollable in system management. Modern agriculture has been evolving through precision agriculture beginning in the late 1980s and biotechnological innovations in the early 2000s. Precision agriculture implements site-specific crop production management by integrating agricultural mechanization and information technology in geographic information system (GIS), global navigation satellite system (GNSS), and remote sensing. Now, precision agriculture is set to evolve into smart agriculture with advanced systematization, informatization, intelligence and automation. From precision agriculture to smart agriculture, there is a substantial amount of specific control and communication problems that have been investigated and will continue to be studied. In this book, the core ideas and methods from control problems in agricultural production systems are extracted, and a system view of agricultural production is formulated for the analysis and design of management strategies to control and optimize agricultural production systems while exploiting the intrinsic feedback information-exchanging mechanisms. On this basis, the theoretical framework of agricultural cybernetics is established to predict and control the behavior of agricultural production systems through control theory.

The cultivation of crops plays a very important role in agriculture. However, proper maintenance and management are required. Lack of such management would lead to crop loss or reduced crop yields. Hence, the ability to detect and identify diseases on infected crops is a problem of increasing concern. Real-time disease detection systems do not exist in the current agricultural landscape. It requires tremendous amounts of work, expertise in plant diseases, and excessive processing time. Using precision agriculture techniques, combined with AI, a great deal of work is reduced. Contemporary Developments in Agricultural Cyber-Physical Systems provides a forum for researchers and practitioners to exchange ideas and achieve progress in cyber-physical systems by highlighting agricultural applications, advances, and research challenges. The book features chapters on all aspects pertaining to this multidisciplinary paradigm, in particular in its application to sustainable agriculture developments. Covering topics such as automation, monitoring systems, and smart agriculture, this premier reference source is an excellent resource for scientists, healthcare professionals, data analysts, computer scientists, students and educators of higher education, researchers, and academicians.

Agri 4.0 and the Future of Cyber-Physical Agricultural Systems is the first book to explore the potential use of technology in agriculture with the focus on the technologies, enabling the reader to better comprehend the full range of CPS opportunities. From planning to distribution, CPS technologies are available to impact agricultural output, delivery and consumption. The impact for food security may be significant and this book explores ways to implement CPS effectively and appropriately. Technology, especially computing technology, can play a significant in the field of agriculture by processing digitized data to solve the complex agronomic, agricultural demand and supply issues that impact the food supply chain, and ultimately food security. In Agri 4.0, the cyber physical system synchronously interacts with agricultural systems to control and execute the operation autonomously. Digitalization of agriculture integrates digital computers to assist the processes of agriculture with its digitized data and its allied technology including AI, Computer Vision, Big data, Block chain and IoT. Agri 4.0 digitalizes, estimate, plan, predict, and produce the optimum agricultural inputs and outputs for the required for commercial purposes. It can be used to get a fair, transparent and accountable process to serve the stakeholders. The convergence of IoT, ML, Big data and 5G networks have opened new possibilities to explore and exploit the cyber physical agricultural systems. The management and practices of smart multi-layer architecture and smart supply chain are one of the key application areas in Agri 4.0. The global team of authors also presents important insights into promising areas of precision agriculture, autonomous systems, smart farming environment, smart production monitoring, pest detection and recovery, sustainable industrial practices and government policies in Agri 4.0. Addresses one of the most complex applications of CPS Describes various technologies, covering CPS in agriculture from precision agriculture to smart supply chain management Focuses on the digital framework, tools, and systems capable of supporting Agri 4.0

Digital agriculture is an emerging concept of modern farming that refers to managing farms using modern Engineering, Information and Communication Technologies (EICT) aiming at increasing the overall efficiency of agricultural production, improving the quantity and quality of products, and optimizing the human labor required and natural resource consumption in operations. This encyclopedia is designed to collect the summaries of knowledge on as many as subjects or aspects relevant to ECIT for digital agriculture, present such knowledge in entries, and arrange them alphabetically by articles titles. Springer Major Reference Works platform offers Live Update capability. Our reference work takes full advantage of this feature, which allows for continuous improvement or revision of published content electronically. The Editorial Board Dr. Irwin R. Donis-Gonzalez, University of California Davis, Dept. Biological and Agricultural Engineering, Davis, USA (Section: Postharvest Technologies) Prof. Paul Heinemann, Pennsylvania State University, Department Head of Agricultural and Biological Engineering, PA, USA (Section: Technologies for Crop Production) Prof. Manoj Karkee, Washington State University, Center for Precision and Automated Agricultural Systems, Washington, USA (Section: Robotics and Automation Technologies) Prof. Minzan Li, China Agricultural University, Beijing, China (Section: Precision Agricultural Technologies) Prof. Dikai Liu, University of Technology Sydney (UTS),Faculty of Engineering & Information Technologies, Broadway NSW, Australia (Section: AI, Information and Communication Technologies) Prof. Tomas Norton, University of Leuven, Dept. of Biosystems, Heverlee Leuven, Belgium (Section: Technologies for Animal and Aquatic Production) Dr. Manuela Zude-Sasse, Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Precision Horticulture, Potsdam, Germany (Section: Engineering and Mechanization Technologies)

The book presents a collection of scientific research in the field of agriculture cyber-physical systems (ACPSs). The methods and tools for agricultural systems design, estimation and monitoring are proposed in this book. The book presents technical developments in the robotics and IoT sector, new solutions with drones, sensors and smart agriculture machines, solutions to digitize the farmer's life by delivering holistic management platforms and monitoring systems, as well as studies devoted to the field mapping. Research on creating a digital twin of the supply chain to predict the near-future state of the supply chain are also presented in this book. The book contains proceedings of the conference "Fundamental and Applied Scientific Research in the Development of Agriculture in the Far East" (AFE-2022, Tashkent, Uzbekistan). The book allows optimizing agricultural production, maximizes their yield and minimizes losses with efficient use of resources and decreases skilled labor.

This book contains new ideas on farming processes, describes new analytical methods that are applicable to a broad range of agricultural systems, and presents new technologies and solutions, which help agricultural systems to function in the modern conditions of digitalization and a changing climate. The results of scientific research presented within the framework of the conference “Fundamental and Applied Scientific Research in the Development of Agriculture in the Far East (AFE-2021)”, which took place in Ussuriysk, Russia are covering the following topics: precision livestock farming, farm management platforms, yield monitoring and estimation, IoTs in farming, water management, smart agriculture machines. These new ideas outlined in the book are future-oriented and are expected to stimulate community debate on determining future directions for advancing agricultural research worldwide. The book is focused on the study of interactions between the components of agricultural systems, between their hierarchical levels, between different types of land use systems, and between agricultural systems and the economic environment. The methods and tools for agricultural systems design, estimation and monitoring are proposed in this book. Studies presented here allow improving the environmental and economic performance of agricultural systems. This book is of particular importance for professionals, scholars, and researchers in the field of agriculture and livestock farming, as well as for the heads and top managers of agricultural enterprises, since materials described in the book will help them in making right decisions.

This book uses digital technologies for the sustainable development and productivity of the agricultural sector. The book presents technical developments in the IoT sector, sensors and smart agriculture machines, as well as solutions to digitize the farmer's life by delivering holistic management platforms and monitoring systems. The papers presented in the book are proceedings of the conference “Fundamental and Applied Scientific Research in the Development of Agriculture in the Far East (AFE-2021)”, which took place in Ussuriysk, Russia. Innovative developments in the field of precision livestock farming, application of fertilizers of a new generation and production of eco-friendly products are presented here. This book is an indispensable tool for farming in any climatic conditions and any climatic zones, since it shares the experience of sustainable farming in the Far East region, which is very valuable in conditions of a changing climate and stricter requirements of the market. The research results presented in the book will help in making the right decisions about the allocation of resources in agricultural systems. The book will allow increasing awareness about the benefits of precision livestock farming, optimizing agricultural production, helping the farmers maximize their yield and minimize losses with efficient use of resources and decreasing skilled labor in agriculture.