A hybrid multi-optimizer approach using CNN and GB for accurate prediction of citrus fruit diseases
Abstract Efficient prediction of citrus fruit diseases is essential for maintaining orchard health and productivity. Traditional diagnostic methods, often relying on manual inspection, are labor-intensive and prone to inaccuracies. Deep learning techniques, especially Convolutional Neural Networks (...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer
2025-02-01
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| Serie: | Discover Applied Sciences |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1007/s42452-025-06593-2 |
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