Advanced Sensing and Robotics Technologies in Smart Agriculture

Yuliang Yun

ISBN 10: 9819764408 / ISBN 13: 9789819764402

Published by Springer Nature Singapore, Springer Nature Singapore, 2024

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This book specifically focuses on state-of-the-art advanced sensing and robotic techniques in smart agriculture and comprehensively describes the new knowledge. Significant agricultural technology progress in advanced sensing and robotics technology has been made recently, which has transformed the conventional agriculture to smart and digital agriculture It provides readers take-away knowledge for seed quality detection, specialty crop harvest and sorting robotics, new sensing method for crop nutrient status, and broadband soil dielectric permittivity measurements. All these new technologies have been developed, tested, or practically applied. It is a useful reference for readers in the field of smart agriculture and agriculture robotics.

Seller Inventory # 9789819764402

Bibliographic Details

• Title: Advanced Sensing and Robotics Technologies in Smart Agriculture
• Publisher: Springer Nature Singapore, Springer Nature Singapore
• Publication Date: 2024
• Language: English
• ISBN 10: 9819764408
• ISBN 13: 9789819764402
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 16D millimeters 241 millimeters width by 160 millimeters height by 16 millimeters depth
• Weight: 481 grams

About this title

Synopsis

This book specifically focuses on state-of-the-art advanced sensing and robotic techniques in smart agriculture and comprehensively describes the new knowledge. Significant agricultural technology progress in advanced sensing and robotics technology has been made recently, which has transformed the conventional agriculture to smart and digital agriculture It provides readers take-away knowledge for seed quality detection, specialty crop harvest and sorting robotics, new sensing method for crop nutrient status, and broadband soil dielectric permittivity measurements. All these new technologies have been developed, tested, or practically applied. It is a useful reference for readers in the field of smart agriculture and agriculture robotics.

About the Author

Dr. Yuliang Yun received his B.E. and M.E. degrees in Measurement and Control Technology and Instruments from Shandong University of Science and Technology, Qingdao, Shandong, China, in 2004 and 2007, respectively. He obtained his Ph.D. degree in Agricultural Engineering from China Agricultural University, Beijing, China, in 2015. Since November 2018, Dr. Yun has been serving as an associate professor at the College of Mechanical and Electrical Engineering, Qingdao Agricultural University.

Dr. Wenyi Sheng obtained his bachelor's degree in Electronics and Information Engineering and a doctoral degree in Agricultural Engineering, both from China Agricultural University in Beijing, China, in 2008 and 2013, respectively. Following the completion of his Ph.D., he held a position at the Institute of Intelligent Machines, China Academy of Sciences from 2013 to 2014. Subsequently, Dr. Sheng worked as a postdoctoral fellow at the Department of Plants, Soils, and Climate, Utah State University in Logan, Utah, USA, from 2014 to 2018. In 2019, he joined the College of Information and Electrical Engineering at China Agricultural University as an assistant professor.

Dr. Zhao Zhang received his B.E. and M.E. degrees in Industrial Engineering and Agricultural Mechanization from Northwest A&F University, China in 2009 and 2012, respectively, and the Ph.D. degree in Agricultural Engineering from the Pennsylvania State University, USA, in 2015. Since Nov. 2021, Dr. Zhang has been in College of Information and Electrical Engineering at China Agricultural University as a professor.