Sensing Technologies for Field and In-House Crop Production: Technology Review and Case Studies: 7 (Smart Agriculture, 7) - Softcover

Softcover

ISBN 10: 9819979293 ISBN 13: 9789819979295

Publisher: Springer, 2024

Synopsis

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.

About this title

About the Author

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.

From the Back Cover

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.

Edition details

• Publisher: Springer
• Publication date: 2024
• Language: English
• ISBN 10: 9819979293
• ISBN 13: 9789819979295
• Binding: Paperback
• Number of pages: 143
• Editor: Zhang Man, Li Han, Sheng Wenyi, Qiu Ruicheng, Zhang Zhao