Deep Learning for Agricultural Visual Perception : Crop Pest and Disease Detection / by Rujing Wang, Lin Jiao, Kang Liu
データ種別 | 電子ブック |
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版 | 1st ed. 2023. |
出版者 | (Singapore : Springer Nature Singapore : Imprint: Springer) |
出版年 | 2023 |
大きさ | XII, 131 p. 1 illus : online resource |
著者標目 | *Wang, Rujing author Jiao, Lin author Liu, Kang author SpringerLink (Online service) |
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一般注記 | Chapter 1. Introduction -- Chapter 2. Deep Learning Technology -- Chapter 3. Large-Scale Agricultural Pest and Disease Datasets -- Chapter 4. Sampling-balanced Region Proposal Network for Pest Detection -- Chapter 5. Crop Pest Detection Methods in Field -- Chapter 6. A CNN-based Arbitrary-oriented Wheat Disease Detection Method 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 HTTP:URL=https://doi.org/10.1007/978-981-99-4973-1 |
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件 名 | LCSH:Artificial intelligence LCSH:Image processing -- Digital techniques 全ての件名で検索 LCSH:Computer vision LCSH:Machine learning LCSH:Image processing LCSH:Agriculture FREE:Artificial Intelligence FREE:Computer Imaging, Vision, Pattern Recognition and Graphics FREE:Computer Vision FREE:Machine Learning FREE:Image Processing FREE:Agriculture |
分 類 | LCC:Q334-342 LCC:TA347.A78 DC23:006.3 |
書誌ID | EB00003892 |
ISBN | 9789819949731 |
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※2019年3月27日以降