Leveraging pre-trained models within a semi-supervised and explainable AI RealTime framework: A pioneering paradigm for betel leaf disease detection
Betel leaf is a significant crop considering its popularity and economic benefits. Although its betel vines are prone to several infections that are generally specified as betel leaf disease. Fungal and bacterial infections are simultaneously responsible for the disease, triggering the early decay o...
Saved in:
| Main Authors: | Md Tahsin, Maksura Binte Rabbani Nuha, Sumaiya Akter, Al Hossain, Mohammad Rifat Ahmmad Rashid, Raiha Ul Islam, Mohammad Shahadat Hossain |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
|
| Series: | Journal of Agriculture and Food Research |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666154325005137 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A FixMatch Framework for Alzheimer’s Disease Classification: Exploring the Trade-Off Between Supervision and Performance
by: Al Hossain, et al.
Published: (2025-01-01) -
Perceived stress and betel quid dependence associated with reasons for betel quid chewing among male chewers: a mixed methods study
by: Su-Erh Chiu, et al.
Published: (2024-11-01) -
Maternal betel quid use during pregnancy and child growth: a cohort study from rural Bangladesh
by: Mohammad Redwanul Islam, et al.
Published: (2024-12-01) -
The Potential of Forest Betel Weed as Raw Materials for Botanical Pesticides in West Sumatra
by: Eka Candra Lina, et al.
Published: (2024-06-01) -
Avian communities of betel nut agroforestry and secondary forest in Taiwan
by: Jo-Szu Tsai, et al.
Published: (2025-05-01)