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Encyclopedia of Smart Agriculture Technologies

  • Living reference work
  • © 2022

Overview

Editors:
  1. Qin Zhang

    1. Biological Systems Engineering, Washington State University, Prosser, USA

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  • An all-in-one resource for reference-level knowledge related to smart agriculture technologies
  • Suitable for anyone interested in the latest advancement in agriculture engineering and cutting edge technologies
  • Alphabetized, up-to-date, entries curated by a team of working industry/academic leaders

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Table of contents (168 entries)

  1. Acoustic Signal for Poultry Health Monitoring

    • Alireza Mahdavian, Ce Yang

  2. Adoption of Cyber-Physical System in Staple Food

    • Atsushi Hashimoto, Takaharu Kameoka

  3. Agricultural Automation

    • John K. Schueller

  4. Agricultural Cybernetics

    • Qin Zhang, Yanbo Huang

  5. Agricultural Land Suitability Analysis

    • Osman Orhan, Hasan Bilgehan Makineci

  6. Agricultural Robotics

    • Francisco Rovira-Más

  7. Agriculture 4.0

    • Franco da Silveira, Fernando Gonçalves Amaral

  8. Animal Welfare Monitoring

    • Mona Lilian Vestbjerg Larsen

  9. Apple Infield Sorting

    • Yunxia Li, Zhao Zhang

  10. Application of 5G Communication Technology in Precision Agriculture

    • Yu Tang, Yong He

  11. Applying Blockchain Technology for Food Traceability

    • Sina Ahmadi Kaliji, Ashkan Pakseresht

  12. Artificial Intelligence in Agriculture

    • Jianlong Zhou, Fang Chen

  13. Automation in Agriculture

    • Héctor Montes, Angela Ribeiro

  14. Big Data in Agriculture

    • Ziwen Yu, Kati Migliaccio

  15. Climate Impact of Agriculture

    • Wenbin Wu, Jing Sun

  16. Climate Impacts on Crop Productions

    • Tayler A. Schillerberg, Di Tian

  17. Climate-Smart Agriculture

    • Bing Liu, Yan Zhu

  18. Cloud, Edge, and Fog Computing Technologies in Agriculture

    • Wanrong Gu, Jianyu Li

  19. Cluster Analysis for Agriculture

    • Tito Arevalo-Ramirez, Fernando Auat Cheein

  20. Computational Modelling of Grain Storage

    • Qiang Zhang
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Keywords

About this book

Smart 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 smart 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)



Editors and Affiliations

  • Biological Systems Engineering, Washington State University, Prosser, USA

    Qin Zhang

About the editor

The Editor-in-Chief, Qin Zhang, is the Director of the Center for Precision and Automated Agricultural Systems (CPAAS), and a Professor of Agricultural Automation in the Department of Biological Systems Engineering, of Washington State University (WSU). His research interests are in the areas of agricultural automation, agricultural robotics, and off-road equipment mechatronics. Prior to his current position, he was a faculty member at the University of Illinois at Urbana-Champaign, worked at Caterpillar Inc., and taught at Zhejiang Agricultural University in China. He has authored/edited 10 books, written dozens separate book chapters, edited three conference proceedings, published over 180 peer reviewed journal articles and 60+ other peer reviewed publications. He is the holder of 11 U.S. patents. He is currently serving as the Editor-in-Chief for Computers and Electronics in Agriculture. Dr. Qin Zhang is a Member of Washington State Academy of Science, a Fellow of International Academy of Agricultural and Biological Engineering (iAABE), a Fellow of the American Society of Agricultural and Biological Engineers (ASABE), a Full Member of the Club of Bologna (a World Task-force on the Strategies for the Development of Agricultural Mechanization), and an Honorary Vice President of the International Commission of Agricultural and Biological Engineering (CIGR). Dr, Zhang has guest lectured over 60 universities in more than 20 countries.   

Bibliographic Information

  • Book Title: Encyclopedia of Smart Agriculture Technologies

  • Editors: Qin Zhang

  • DOI: https://doi.org/10.1007/978-3-030-89123-7

  • Publisher: Springer Cham

  • eBook Packages: Springer Reference Biomedicine and Life Sciences, Reference Module Biomedical and Life Sciences

  • eBook ISBN: 978-3-030-89123-7Due: 01 September 2023

  • Number of Pages: X, 990

  • Number of Illustrations: 32 b/w illustrations, 418 illustrations in colour

  • Topics: Agriculture, Data Engineering, Signal, Image and Speech Processing, Control, Robotics, Mechatronics

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