Overview
- Covers the applications of image processing and AI algorithms in agriculture
- Provides take-away knowledge for unmanned agriculture production for students
- Summarizes the technology progress for field and in-house crops production
Part of the book series: Smart Agriculture (SA, volume 7)
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About this book
This book focuses on state-of-the-art sensing and automation technologies for field crops and in-house product production and provides a lot of innovative knowledge on image processing, AI algorithms and applications in agriculture, and robotics. This book provides undergraduate or graduate students with take-away knowledge for unmanned agricultural production, including but not limited to corn disease detection, wheat head detection and counting, and soil nutrient condition monitoring. The first three chapters focus on reviewing plant phenotyping sensing technology and robotics and soil nutrient monitoring, followed by in-house crop sensing robotics. Then two case studies on corn and the other two case studies on wheat are presented.
Keywords
Table of contents (8 chapters)
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Front Matter
Editors and Affiliations
About the editors
Dr. Man Zhang is the dean of College of Information and Electric Engineering, China Agricultural University. Her main research areas are plant phenotyping and agricultural machinery navigation.
Dr. Han Li is an associate professor at the College of Information and Electric Engineering, China Agricultural University. Her studies mainly focus on plant phenotyping and robotics.
Dr. Wenyi Sheng is an assistant professor at the College of Information and Electric Engineering, China Agricultural University. Her studies mainly focus on the monitoring of soil conditions.
Dr. Ruicheng Qiu is an associate professor at the College of Information and Electric Engineering, China Agricultural University. He mainly works on crop phenotyping.
Dr. Zhao Zhang received his B.E. and M.E. degrees in Industrial Engineering and Agricultural Mechanization from Northwest A&F University in 2009 and 2012, respectively, and the Ph.D. degree in Agricultural Engineering from The Pennsylvania State University, USA, in 2015. Since November 2021, Dr. Zhang has been in College of Information and Electrical Engineering, China Agricultural University, as a professor.
Bibliographic Information
Book Title: Sensing Technologies for Field and In-House Crop Production
Book Subtitle: Technology Review and Case Studies
Editors: Man Zhang, Han Li, Wenyi Sheng, Ruicheng Qiu, Zhao Zhang
Series Title: Smart Agriculture
DOI: https://doi.org/10.1007/978-981-99-7927-1
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023
Hardcover ISBN: 978-981-99-7926-4Published: 28 November 2023
Softcover ISBN: 978-981-99-7929-5Due: 29 December 2023
eBook ISBN: 978-981-99-7927-1Published: 27 November 2023
Series ISSN: 2731-3476
Series E-ISSN: 2731-3484
Edition Number: 1
Number of Pages: VII, 136
Number of Illustrations: 13 b/w illustrations, 66 illustrations in colour
Topics: Robotics and Automation, Mechatronics, Robotics, Agriculture, Computer Imaging, Vision, Pattern Recognition and Graphics, Signal, Image and Speech Processing