Method for Identifying Plant Diseases Based on Monitoring Platform for Plantations
This study introduces a deep learning-based system for detecting plant diseases using multispectral image analysis and convolutional neural networks trained on the PlantVillage repository and other datasets, including those provided by Forever, a company specializing in maize hybrids and other plants. The model achieves high accuracy and benefits from GPU acceleration, while a self-learning mechanism ensures adaptability to new conditions and disease types.
Authors
- Viorel Bostan (ORCID: https://orcid.org/0000-0002-2422-3538)
- Klimenko Maxim
- Lisnic Dorin
- Rotaru Lilia
- Cărbune Viorel
- Seinic Valeriu
Institutions
- Technical University of Moldova (MD)
Publication Details
- Published
- 2025-06-23
- DOI
- https://doi.org/10.1109/blackseacom65655.2025.11193949
- Primary Topic
- Plant Pathogens and Fungal Diseases
- Type
- article
- Field-Weighted Citation Impact
- 0.00