Deep learning-based potato leaf disease classification and severity assessment
Abstract A deep learning model was developed to detect, classify, and assess the severity of potato leaf diseases using 4200 images captured with a smartphone. The dataset, including healthy and diseased leaves affected by early and late blight, was preprocessed with techniques like median filtering...
Saved in:
| Main Authors: | Tadesse Assefa Dame, Gashaw Bekele Adera, Dagne Walle Girmaw |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-06-01
|
| Series: | Discover Applied Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s42452-025-07240-6 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Deep learning and explainable AI for classification of potato leaf diseases
by: Sarah M. Alhammad, et al.
Published: (2025-02-01) -
Enhanced Potato Pest Identification: A Deep Learning Approach for Identifying Potato Pests
by: Amir Sohel, et al.
Published: (2024-01-01) -
A Detection Method for Sweet Potato Leaf Spot Disease and Leaf-Eating Pests
by: Kang Xu, et al.
Published: (2025-02-01) -
Potato leaves disease classification based on generalized Jones polynomials image features
by: Ala’a R. Al-Shamasneh
Published: (2025-06-01) -
Response of Potato (Solanum tuberosum L.) under Different Levels of Irrigation and Fertigation through Drip System
by: Serhat Ayas
Published: (2021-02-01)