Plant Diseases and Pests Detection Using Machine Learning

Detecting and treating plant leaf diseases is critical for ensuring a stable food supply. This study proposes a deep learning model based on modified Mask R-CNN for autonomous detection and segmentation of leaf diseases in plants. The model achieved a 0.98 accuracy and reduced lesion detection time by two times compared to existing models. The proposed method shows promise in detecting leaf diseases in plants, which is crucial for promoting healthy plant growth and ensuring ample food supply.