Anushka, Anushka and Sandilya, P Rama and Arikatla, Srinadh and Jyotsna, Kolla (2025) Deep Learning Approaches for Identifying and Classifying Plant Pathologies. In: Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part I.
![[thumbnail of 79400.pdf]](http://eprints.eai.eu/style/images/fileicons/application_pdf.png "79400.pdf")
PDF
79400.pdf
Download (618kB)
Abstract
Plant diseases are among the key problems confronting global agriculture, which leads to a decrease in crop yield and losses. Conventional detection procedures like human observation by experts are often time-consuming, subjective, and susceptible to making mistakes. Deep learning, that is, convolut
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 20:17 |
| Last Modified: | 16 Apr 2026 15:59 |
| URI: | http://eprints.eai.eu/id/eprint/60046 |
Actions (login required)
- View Item