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Author: Qin Zhang
Publisher: CRC Press
Published: 2016-04-19
Total Pages: 400
ISBN-13: 1439880581
DOWNLOAD EBOOKAgricultural automation is the core technology for computer-aided agricultural production management and implementation. An integration of equipment, infotronics, and precision farming technologies, it creates viable solutions for challenges facing the food, fiber, feed, and fuel needs of the human race now and into the future. Agricultural Automat
Author: John Billingsley
Publisher: Burleigh Dodds Series in Agricultural Science
Published: 2019
Total Pages: 0
ISBN-13: 9781786762726
DOWNLOAD EBOOKRobotics has great potential in improving productivity and precision in agriculture. The book reviews advances in technologies such as machine vision and control systems, as well as applications from crop planting, fertilisation, pest and weed management to livestock production.
Author: Paul McNulty
Publisher: EOLSS Publications
Published: 2009-07-28
Total Pages: 518
ISBN-13: 1848260962
DOWNLOAD EBOOKAgricultural Mechanization and Automation is a component of Encyclopedia of Food and Agricultural Sciences, Engineering and Technology Resources in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. The mechanization of farming practices throughout the world has revolutionized food production, enabling it to maintain pace with population growth except in some less-developed countries, most notably in Africa. Agricultural mechanization has involved the partial or full replacement of human energy and animal-powered equipment (e.g. plows, seeders and harvesters) by engine-driven equipment. The theme on Agricultural Mechanization and Automation cover six main topics: Technology and Power in Agriculture; Farm Machinery; Facilities and Equipment for Livestock Management; Environmental Monitoring; Recovery and Use of Wastes and by-Products; Slaughtering and Processing of Livestock, which are then expanded into multiple subtopics, each as a chapter. These two volumes are aimed at the following five major target audiences: University and College students Educators, Professional practitioners, Research personnel and Policy analysts, managers, and decision makers and NGOs.
Author: Dr. R. K. Kumawat
Publisher: RK Publication
Published: 2024-09-02
Total Pages: 315
ISBN-13: 9348020501
DOWNLOAD EBOOK"Automation in Agriculture" explores the transformative impact of technology on farming practices, examining how automation, robotics, and artificial intelligence are revolutionizing traditional agriculture. From precision planting and harvesting to smart irrigation systems, the book highlights innovative tools that improve productivity, reduce labor dependency, and promote sustainable practices. It addresses challenges and future trends, making it an essential read for anyone interested in the future of food production and the role of technology in cultivating resilient agricultural systems.
Author: Amitava Choudhury
Publisher: Springer Nature
Published: 2022-01-01
Total Pages: 236
ISBN-13: 9811661243
DOWNLOAD EBOOKThis book addresses the challenges for developing and emerging trends in Internet-of-Things (IoT) for smart agriculture platforms. It also describes data analytics & machine learning, cloud architecture, automation & robotics and aims to overcome existing barriers for smart agriculture with commercial viability. It discusses IoT-based monitoring systems for analyzing the crop environment, and methods for improving the efficiency of decision-making based on the analysis of harvest statistics. The book explores a range of applications including intelligent field monitoring, intelligent data processing and sensor technologies, predictive analysis systems, crop monitoring, and weather data-enabled analysis in IoT agro-systems. This volume will be helpful for engineering and technology experts and researchers, as well as for policy-makers.
Author: Tomar, Pradeep
Publisher: IGI Global
Published: 2021-01-08
Total Pages: 400
ISBN-13: 1799817245
DOWNLOAD EBOOKAs technology continues to saturate modern society, agriculture has started to adopt digital computing and data-driven innovations. This emergence of “smart” farming has led to various advancements in the field, including autonomous equipment and the collection of climate, livestock, and plant data. As connectivity and data management continue to revolutionize the farming industry, empirical research is a necessity for understanding these technological developments. Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture provides emerging research exploring the theoretical and practical aspects of critical technological solutions within the farming industry. Featuring coverage on a broad range of topics such as crop monitoring, precision livestock farming, and agronomic data processing, this book is ideally designed for farmers, agriculturalists, product managers, farm holders, manufacturers, equipment suppliers, industrialists, governmental professionals, researchers, academicians, and students seeking current research on technological applications within agriculture and farming.
Author: Amitava Choudhury
Publisher: John Wiley & Sons
Published: 2021-03-02
Total Pages: 304
ISBN-13: 1119769213
DOWNLOAD EBOOKDespite the increasing population (the Food and Agriculture Organization of the United Nations estimates 70% more food will be needed in 2050 than was produced in 2006), issues related to food production have yet to be completely addressed. In recent years, Internet of Things technology has begun to be used to address different industrial and technical challenges to meet this growing need. These Agro-IoT tools boost productivity and minimize the pitfalls of traditional farming, which is the backbone of the world's economy. Aided by the IoT, continuous monitoring of fields provides useful and critical information to farmers, ushering in a new era in farming. The IoT can be used as a tool to combat climate change through greenhouse automation; monitor and manage water, soil and crops; increase productivity; control insecticides/pesticides; detect plant diseases; increase the rate of crop sales; cattle monitoring etc. Agricultural Informatics: Automation Using the IoT and Machine Learning focuses on all these topics, including a few case studies, and they give a clear indication as to why these techniques should now be widely adopted by the agriculture and farming industries.
Author: Qin Zhang
Publisher: CABI
Published: 2017-11-30
Total Pages: 314
ISBN-13: 1780648502
DOWNLOAD EBOOKAutomation in agriculture is made possible by the integration of advanced agricultural technology and precision agriculture management. This book, uniquely, will focus on applications of automation to the important industry of tree fruit production. Written by experts in agricultural automation technology from around the world, chapters in this book cover topics such as automated tree fruit production systems, plant stress sensing and high-throughput phenotyping in precision horticulture, the economics of automation in tree fruit production, light interception sensing systems for canopy management, precision irrigation and water management, precision technologies for pest and disease management, opportunities for the application of robotics in tree fruit production, and the mechanical harvesting and handling of fruit crops. The book is a representative, concise overview of the variety of technologies currently being applied to tree fruit crops around the world and the challenges faced by engineers and farmers that these technologies raise. It is aimed at researchers and graduate students of agriculture systems, agricultural and biological engineering, crop and soil sciences, horticulture, precision agriculture, and other relevant disciplines. It will also be of use to agriculture consultants, engineers, and other professionals such as agricultural equipment manufacturers and management professionals who use precision agriculture technologies.
Author: Qin Zhang
Publisher: CRC Press
Published: 2015-10-15
Total Pages: 390
ISBN-13: 1000218988
DOWNLOAD EBOOKThis book provides a review of precision agriculture technology development, followed by a presentation of the state-of-the-art and future requirements of precision agriculture technology. It presents different styles of precision agriculture technologies suitable for large scale mechanized farming; highly automated community-based mechanized production; and fully mechanized farming practices commonly seen in emerging economic regions. The book emphasizes the introduction of core technical features of sensing, data processing and interpretation technologies, crop modeling and production control theory, intelligent machinery and field robots for precision agriculture production.
Author: Qin Zhang
Publisher: Springer Nature
Published: 2023-10-11
Total Pages: 1636
ISBN-13: 3031248619
DOWNLOAD EBOOKDigital 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)
