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Ragel, Roshan G.. Comparative analysis of pre-trained deep neural networks for plant disease classification. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2024.
Comparative analysis of pre-trained deep neural networks for plant disease classification
Name: George, Romiyal
Organization :
Engineering University of Peradeniya. Department of Computer
Email :
romiyalg@eng.pdn.ac.lk
Name: Thuseethan, Selvarajah
Organization :
Charles Darwin University. Faculty of Science and Technology
Name: Ragel, Roshan G.
Organization :
Charles Darwin University. Faculty of Science and Technology
LCSH:
Plant diseases
-- Diagnosis
Abstract:
Plant diseases are a common and significant problem
for farmers worldwide, leading to reduced productivity and economic
challenges for both farmers and countries. Deep learning
methods offer an efficient way to classify plant diseases at an
earlier stage, enhancing the quality and quantity of agricultural
products. Despite the existence of traditional and computer vision
classification approaches, they frequently encounter challenges
like time-consuming processes, imbalanced data, and restricted
field access. This research evaluates several widely used stateof-
the-art deep networks on three datasets: PlantVillage, Taiwan
dataset, and Citrus Fruits and Leaves Dataset, covering diseases
in apple, tomato, and citrus leaves. The evaluation results
demonstrate the effective recognition of disease images by deep
networks. Notably, the comparison reveals the superiority of
specific networks for each dataset: DenseNet201 for PlantVillage
- tomato, MobileNetV3 Large for Taiwan dataset - tomato,
MobileNetV2 for PlantVillage - apple, and ResNet101 for Citrus
Fruits and Leaves Dataset.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2024
Modified:
2025-05-26
Issued:
2025-05-26
บทความ/Article
application/pdf
BibliograpyCitation :
In IEEE Thailand Section (IEEE Computer Society Thailand Chapter) and Prince of Songkla University. College of Computing. The 21st International Joint Conference on Computer Science and Software Engineering (JCSSE 2024)) (pp.179-186). Phuket : Prince of Songkla University
eng
©copyrights King Mongkut's University of Technology North Bangkok
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0.021325 วินาที
George, Romiyal
| Title | Contributor | Type |
|---|---|---|
| Comparative analysis of pre-trained deep neural networks for plant disease classification
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ George, Romiyal;Thuseethan, Selvarajah;Ragel, Roshan G. | บทความ/Article |
Thuseethan, Selvarajah
| Title | Contributor | Type |
|---|---|---|
| Comparative analysis of pre-trained deep neural networks for plant disease classification
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ George, Romiyal;Thuseethan, Selvarajah;Ragel, Roshan G. | บทความ/Article |
Ragel, Roshan G.
| Title | Contributor | Type |
|---|---|---|
| Comparative analysis of pre-trained deep neural networks for plant disease classification
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ George, Romiyal;Thuseethan, Selvarajah;Ragel, Roshan G. | บทความ/Article |