Deep Learning for Agricultural Visual Perception: Crop Pest and Disease Detection

Author:   Rujing Wang ,  Lin Jiao ,  Kang Liu
Publisher:   Springer Verlag, Singapore
Edition:   1st ed. 2023
ISBN:  

9789819949724


Pages:   131
Publication Date:   21 September 2023
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Our Price $362.22 Quantity:  
Add to Cart

Share |

Deep Learning for Agricultural Visual Perception: Crop Pest and Disease Detection


Add your own review!

Overview

Full Product Details

Author:   Rujing Wang ,  Lin Jiao ,  Kang Liu
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2023
Weight:   0.389kg
ISBN:  

9789819949724


ISBN 10:   9819949726
Pages:   131
Publication Date:   21 September 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Reviews

Author Information

Rujing Wang is Professor of Hefei Institute of Material Science, Chinese Academy of Sciences; Chief Engineer of Hefei Institute of Intelligent Machinery, Chinese Academy of Sciences; Professor and Doctoral Supervisor of University of Science and Technology of China; Director of the Smart Agriculture Professional Committee of the National Association of Automation; Director of the Anhui Provincial Technical Innovation Center for Agricultural Sensors and Intelligent Sensing; Director of the Anhui Provincial Key Laboratory for Bionic Sensing and Advanced Robotics Technology; Director of the Anhui Provincial Intelligent Agriculture Engineering Laboratory; and Deputy Editor in Chief of the Journal of Pattern Recognition and Artificial Intelligence. He has published over 200 academic papers and 1 academic monograph, obtained over 100 national invention patents and over 80 national software copyrights, and won one second prize of the National Science and Technology Progress Award and two first prizes of the Anhui Province Science and Technology Progress Award. Lin Jiao received the PhD degree in computer science and technology from the University of Science and Technology of China, Hefei, China, in 2021. She was an Honoree of Excellent Award of President of Chinese Academy of Sciences, in 2020. She is currently a lecturer at the School of Internet, Anhui University, Hefei, China. She has published over 20 papers and served as a reviewer for more than 10 journals/conferences. Her research interests include machine learning, deep learning, pattern recognition, computer vision, and agricultural informatization. Kang Liu received his BE degree in automation from Donghua University, Shanghai, China, in 2017, and PhD degree in control science and engineering from the University of Science and Technology of China, Hefei, China, in 2022. He was an Honoree of Excellent Award of President of Chinese Academy of Sciences, China, in 2022 and Outstanding Graduates of Anhui Province, in 2022. He is currently a postdoctoral researcher with the Department of Computer Science, University of Sheffield, Sheffield, United Kingdom. He has published over 15 papers and served as a reviewer for more than 20 journals/conferences. His research interests include theoretical research and engineering applications in intelligence control algorithms and precision agriculture systems.

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

wl

Shopping Cart
Your cart is empty
Shopping cart
Mailing List