Aphid Infestation

Aphid infestations pose a significant threat to crop yields and global food security, necessitating efficient and targeted pest management strategies to reduce reliance on broad-spectrum pesticides. Current research focuses on developing automated detection and quantification methods using deep learning, employing object detection and semantic segmentation models like YOLOv5, Fast-SCNN, and various transformer-based architectures to analyze images of infested crops. These advancements aim to enable precise pesticide application, minimizing environmental impact and improving agricultural efficiency, with ongoing efforts focused on improving accuracy and speed for real-world deployment.