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Plant diseases and pests are important factors determining the yield and quality of plants. Plant diseases and pests identification can be carried out by means of digital image processing. In recent years, deep learning has made breakthroughs in the field of digital image processing, far superior to traditional methods. How to use deep learning technology to study plant diseases and pests identification has become a research issue of great concern to researchers. This book provides a definition of plant diseases and pests detection problem, puts forward a comparison with traditional plant diseases and pests detection methods. According to the difference of network structure, this study outlines the research on plant diseases and pests detection based on deep learning in recent years from three aspects of classification network, detection network and segmentation network, and the advantages and disadvantages of each method are summarized.
About the author
P.Jayapriya is an Assistant Professor in Department of Computer Science, NGM College,Pollachi,affiliated to Bharathiar University.She completed PhD and had more than 11 Years of teaching experience with specialization in Digital Image processing, Operating System, Deep learning and Machine Learning. She has published more than 12 research articles.
