Researchers from North Carolina State University have developed an electronic patch that can be applied to the leaves of plants to monitor crops for different pathogens, such as viral and fungal ...

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 ...

Agriculture today is not only challenged with the production of food and animal food, but also with aspects of environmental protection. In crop production, there is a growing pressure to decrease the ...

Plant diseases don't stop at a nation's borders and miles of oceans don't prevent their spread, either. That's why plant disease surveillance, improved plant disease detection systems and predictive ...

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