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About An Agricultural IoT System To Accurately Reconize Crop Diseases
This document summarizes an article that proposes an agricultural IoT system called MDFC-ResNet to accurately recognize crop diseases at a fine-grained level. The system uses IoT technology and a deep learning model to automatically detect crop diseases and send diagnostic results to farmers. The proposed MDFC-ResNet model identifies diseases across three dimensions - crop species, coarse-grained disease, and fine-grained disease - and uses a compensation algorithm to fuse multidimensional recognition results. Experimental results showed MDFC-ResNet had better recognition performance than other popular deep learning models for crop disease identification.
Detailed Information
| Author: | ['Abir'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 13 |
| Language: | English |
| Format: | |
| Price: | FREE |
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