Efficient early-stage disease detection in pomegranate (Punica granatum) using convolutional neural networks optimized by honey badger optimization algorithm
This study presents a novel method for early-stage disease detection in pomegranate using a convolutional neural network (CNN) and honey badger optimization algorithm (HBOA). Existing fruit disease detection methods requires the appearance of external symptoms on the fruit surface. By the time sympt...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
|
| Series: | Cogent Food & Agriculture |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/23311932.2024.2401051 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|