Nature

An explainable deep learning framework for few shot crop disease detection in rice and sugarcane using CNN based feature extraction

Where crop health is essential to global food security. Our focus is on early crop disease detection in the field of agriculture, especially Rice and Sugar cane leaf disease. This prompts researchers ...
Nature

Improved multiscale attention based deep learning approach for automated sugarcane leaf disease detection using BSRI data

Early and accurate detection of sugarcane leaf diseases is critical for improving crop productivity and reducing economic losses in the agricultural sector. Timely interventions enable sustainable ...