Design of an iterative method for disease prediction in finger millet leaves using graph networks, dyna networks, autoencoders, and recurrent neural networks
Plant diseases are increasingly becoming a serious threat to food security as well as sustainable agriculture sets. Traditional methods for detecting crop diseases, especially in Finger Millet, are cumbersome with chances of error. Therefore, automated solutions are necessary. This work proposes a c...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S259012302401555X |
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