Method for identifying plant diseases based on monitoring platform for plantations

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.