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.

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Publication Details

Published
2025-06-23
DOI
https://doi.org/10.1109/blackseacom65655.2025.11193949
Primary Topic
Plant Pathogens and Fungal Diseases
Type
article
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article

Method for Identifying Plant Diseases Based on Monitoring Platform for Plantations

Viorel Bostan, Klimenko Maxim, Lisnic Dorin, Rotaru Lilia et al.
Plant Pathogens and Fungal Diseases
article

Method for Identifying Plant Diseases Based on Monitoring Platform for Plantations

Viorel Bostan, Klimenko Maxim, Lisnic Dorin, Rotaru Lilia, Cărbune Viorel, Seinic Valeriu
article en

Abstract

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.

Technical University of Moldova (MD)
Openalex Percentile: Top 69%
Plant Pathogens and Fungal Diseases
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