Deep convolutional neural network model for classifying common bean leaf diseases
Abstract Common bean is one of the most important crops used by Ethiopian farmers for export and local consumption. However, the quality and quantity of this crop are heavily affected by different leaf diseases and affect crop growth. Currently, common bean disease detection is performed through exp...
Saved in:
| Main Authors: | Dagne Walle Girmaw, Tsehay Wasihun Muluneh |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2024-11-01
|
| Series: | Discover Artificial Intelligence |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44163-024-00212-6 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An Explainable Deep Learning Network With Transformer and Custom CNN for Bean Leaf Disease Classification
by: R. Karthik, et al.
Published: (2025-01-01) -
Classification of Common Bean Landraces of Three Species Using a Neuroevolutionary Approach with Probabilistic Color Characterization
by: José-Luis Morales-Reyes, et al.
Published: (2025-06-01) -
Tea leaf disease detection using segment anything model and deep convolutional neural networks
by: Ananthakrishnan Balasundaram, et al.
Published: (2025-03-01) -
Enhancing drought tolerance in common bean by plant growth promoting rhizobacterium Bacillus amyloliquefaciens
by: Anika ANZUMA, et al.
Published: (2024-10-01) -
Women’s visibility and bargaining power in the common bean value chain in Mozambique
by: Enock K. Maereka, et al.
Published: (2023-11-01)