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A01=Kang Liu
A01=Lin Jiao
A01=Rujing Wang
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Author_Kang Liu
Author_Lin Jiao
Author_Rujing Wang
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Deep Learning for Agricultural Visual Perception: Crop Pest and Disease Detection

English

By (author): Kang Liu Lin Jiao Rujing Wang

This monograph provides a detailed and systematic introduction to the application of deep learning technology in the intelligent monitoring of crop diseases and pests. Taking 24 types of crop pests, wheat aphids, and wheat diseases with complex backgrounds as examples, a large-scale crop pest and disease dataset was constructed to provide necessary data support for the deep learning module. Various schemes for identifying and detecting large-scale crop diseases and pests based on deep convolutional neural network technology have also been proposed. This book can be used as a reference for teachers and students majoring in agriculture, computer science, artificial intelligence, intelligent science and technology, and other related fields in higher education institutions. It can also be used as a reference book for researchers in fields such as image processing technology, intelligent manufacturing, and high-tech applications.


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Current price €145.34
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A01=Kang LiuA01=Lin JiaoA01=Rujing WangAge Group_UncategorizedAuthor_Kang LiuAuthor_Lin JiaoAuthor_Rujing Wangautomatic-updateCategory1=Non-FictionCategory=TJFCategory=TVBCategory=UYQCategory=UYQMCategory=UYQVCategory=UYTCOP=SingaporeDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€100 and abovePS=Activesoftlaunch
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Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 22 Sep 2024
  • Publisher: Springer Verlag Singapore
  • Publication City/Country: Singapore
  • Language: English
  • ISBN13: 9789819949755

About Kang LiuLin JiaoRujing Wang

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.

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