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About Detection and Classification of Plant Leaf Diseases by Using Deep Learning Algorithm IJERTCONV6IS07082
This document summarizes a research paper that proposes using deep learning algorithms to detect and classify plant leaf diseases. The researchers used three deep learning models - Faster R-CNN, R-FCN, and SSD - to identify diseases in images of leaves from various crop plants like rice, wheat, banana and guava. They collected images showing leaf diseases and trained the deep learning models to accurately detect different disease types. The early and accurate detection of plant diseases using this automated image-based approach could help farmers prevent the spread of diseases and improve crop management.
Detailed Information
| Author: | ['saikumar'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 5 |
| Language: | English |
| Format: | |
| Price: | FREE |
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