A deep learning approach to detect diseases in pomegranate fruits via hybrid optimal attention capsule network
In 2022, the production rate of pomegranate is estimated at approximately 4.8 million metric tons. Unfortunately, these fruits are susceptible to many different kinds of diseases caused by bacterial, viral, and fungal infections. Such diseases can have a major negative impact on fruit quality, produ...
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| Main Authors: | P. Sajitha, A. Diana Andrushia, N. Anand, M.Z. Naser, Eva Lubloy |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
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| Series: | Ecological Informatics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1574954124004011 |
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