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

Wang, Rujing, Jiao, Lin, Liu, Kang

Deep Learning for Agricultural Visual Perception: Crop Pest and Disease Detection
  • 出版商: Springer
  • 出版日期: 2024-09-22
  • 售價: $6,360
  • 貴賓價: 9.5 折 $6,042
  • 語言: 英文
  • 頁數: 131
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9819949750
  • ISBN-13: 9789819949755
  • 相關分類: DeepLearning

    • 海外代購書籍(需單獨結帳)

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商品描述

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.


商品描述(中文翻譯)

本專著詳細且系統性地介紹了深度學習技術在作物病蟲害智能監測中的應用。以24種作物害蟲、小麥蚜蟲及具有複雜背景的小麥病害為例，構建了一個大規模的作物病蟲害數據集，以提供深度學習模組所需的數據支持。還提出了基於深度卷積神經網絡技術識別和檢測大規模作物病蟲害的各種方案。本書可作為高等教育機構農業、計算機科學、人工智慧、智能科學與技術及其他相關領域的教師和學生的參考資料，也可作為圖像處理技術、智能製造及高科技應用等領域研究人員的參考書籍。

作者簡介

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.

作者簡介(中文翻譯)

Rujing Wang 是中國科學院合肥物質科學研究院的教授、中國科學院合肥智能機械研究院的首席工程師、中國科學技術大學的教授及博士生導師、全國自動化協會智慧農業專業委員會的主任、安徽省農業傳感器與智能感知技術創新中心的主任、安徽省仿生感知與先進機器人技術重點實驗室的主任、安徽省智能農業工程實驗室的主任，以及《模式識別與人工智慧期刊》的副主編。他已發表超過200篇學術論文和1部學術專著，獲得超過100項國家發明專利和超過80項國家軟體著作權，並獲得一次國家科技進步獎的二等獎和兩次安徽省科技進步獎的一等獎。

Lin Jiao 於2021年在中國科學技術大學獲得計算機科學與技術的博士學位。她在2020年獲得中國科學院院長優秀獎的榮譽。她目前是安徽大學互聯網學院的講師。她已發表超過20篇論文，並擔任超過10個期刊/會議的審稿人。她的研究興趣包括機器學習、深度學習、模式識別、計算機視覺和農業資訊化。

Kang Liu 於2017年在東華大學獲得自動化的學士學位，並於2022年在中國科學技術大學獲得控制科學與工程的博士學位。他在2022年獲得中國科學院院長優秀獎的榮譽，並被評為2022年安徽省優秀畢業生。他目前是英國謝菲爾德大學計算機科學系的博士後研究員。他已發表超過15篇論文，並擔任超過20個期刊/會議的審稿人。他的研究興趣包括智能控制算法和精準農業系統的理論研究及工程應用。

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