Overview AI systems use sensors and computer vision to detect pests and diseases early, reducing crop damage and yield losses ...

Deep learning-based intelligent recognition algorithms are increasingly recognized for their potential to address the labor-intensive challenge of manual pest detection. However, their deployment on ...

A new study identifies key patterns and factors influencing insect pest establishment and detection across the U.S. and suggests public surveillance awareness and involvement is a critical component ...

A project to create and validate an advanced sensing and AI system for early detection of pests and plant stress in UK tomato glasshouses has been completed. The TomatoGuard system in the future could ...