Diagnosing plant disease is essential to meet the world’s growing food demand, which is expected to increase with a population of 9.1 billion by 2050. Diseases can reduce crop yields by 20-40% , so ...

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 accurately ...

This study presents a solar-powered robot integrating AI and IoT for real-time plant disease detection, offering a scalable ...