The study emphasizes that one of the most significant contributions of AI to plant science lies in rapid, image-based disease ...

Swift plant disease diagnosis is vital to prevent extensive production losses and uphold food security. Recently, object detection-based methods using deep learning have shown promise in ...

Indian researchers created a deep learning system that identifies and classifies cotton diseases with 97% accuracy. This automated method helps farmers quickly address issues, boosting yields and ...

There is growing interest in using AI in crop ... to monitor the presence of plant diseases—a method that is time-consuming, costly, and often inaccurate. "A deep learning model trained on ...

DNA extraction is the first step in identifying plant diseases, and the new method holds promise for the development of on-site plant disease detection tools ... plant sample using a method ...

A machine learning ... disease detection and predicts that minimally three sensors are required including the VOC sensors.” The technology builds on a previous prototype patch, which detected ...