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About Plant Disease Detection and Classification by Deep Learning-A Review
This document summarizes recent research on using deep learning techniques for plant disease detection and classification. It first discusses traditional image recognition methods and their limitations. It then reviews how recent studies have achieved good results using deep learning models like convolutional neural networks (CNNs). However, limited datasets remain a challenge. The document concludes that combining deep learning with transfer learning provides a promising approach to address this challenge.
Detailed Information
| Author: | ['Lê Kim Hùng'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 16 |
| Language: | English |
| Format: | |
| Price: | FREE |
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