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 ...

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

Indian researchers created a deep learning system that identifies and classifies cotton diseases with 97% accuracy. This ...

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 ...

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 ...

Scientists from the Indian Institute of Technology (IIT) Mandi have developed a computational model for automated disease detection ... The model is built using an AI tool called mask region ...

The startup will use the funds to build out its team and develop its artificial intelligence-based technology ... deep-learning algorithms for the detection and diagnosis of disease.