Deep convolutional neural network-based automated identification and classification of mungbean foliar diseases
Shail Bala, S. I. Harlapur, Aditya Kamalakar Kanade, M. P. Potdar, Gurupada B. Balol, V. B. Kuligod, Lingareddy Usha Rani · 2026
Read Deep convolutional neural network-based automated identification and classification of mungbean foliar diseases by Shail Bala, S. I. Harlapur, Aditya Kamalakar Kanade, M. P. Potdar, Gurupada B. Balol, V. B. Kuligod, Lingareddy Usha Rani (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13582439.txt.
Description
Leaf diseases of mungbean are sorted by neural networks in a 2026 study by Shail Bala and co-authors. The crop suffers from yellow mosaic, powdery mildew, leaf crinkle, and spot disease, all costly in the field. Five leading network designs were trained on more than five thousand field photos across five classes, including healthy leaves.
Field photos carry real weather and light variety that lab sets lack. Extra training images were made only from the training split, a care that keeps test scores honest. The study ranks the designs under true farm conditions rather than glasshouse ease. Farmers and scouts gain evidence for phone-based disease checks that work where crops actually grow.
Catalog record
| CREATOR | Shail Bala, S. I. Harlapur, Aditya Kamalakar Kanade, M. P. Potdar, Gurupada B. Balol, V. B. Kuligod, Lingareddy Usha Rani |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 53 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |