Plant Disease Detection

et the latest Plant Disease Detection news, research, updates and technology developments covering how artificial intelligence, computer vision, remote sensing, drones, sensors and digital agriculture are being used to identify crop diseases earlier and more accurately. This tag brings together developments in crop health monitoring, plant pathology, precision agriculture and agricultural technology, including new diagnostic systems, research findings, field trials and commercial applications.

Coverage includes AI-powered image analysis, machine learning, deep learning, hyperspectral and multispectral imaging, UAV-based monitoring, IoT sensors and smartphone-based diagnostics across crops such as rice, wheat, maize, fruits and vegetables. Recent research is moving beyond laboratory images toward field-ready systems, although environmental variation, data quality, model transferability and independent field validation remain important challenges. Developments such as AI-based avocado disease monitoring in Indian orchards demonstrate the growing application of these technologies in real agricultural environments.

Find news and updates on early disease identification, crop disease diagnosis, digital plant pathology, AI in agriculture, disease forecasting, remote sensing and smart crop protection, along with research from universities, agricultural institutes, technology companies and industry organisations. Coverage also includes how these tools can support timely crop protection decisions, improve farm monitoring and contribute to more efficient disease management and precision agriculture.