YOLOv10-Enabled IoT Robot Car for Accurate Disease Detection in Strawberry Cultivation

YOLOv10-Enabled IoT Robot Car for Accurate Disease Detection in Strawberry Cultivation

Blog Article

This study addresses the growing need for effective disease management in strawberry cultivation, a crop vital for global nutrition.We present an innovative approach that combines the YOLOv10 model with a Remote-Controlled Robot Car to revolutionize strawberry disease detection.Our system merges deep learning, IoT, and precision agriculture techniques to enable real-time monitoring of strawberry fields.This technology-driven solution offers a proactive and data-based method for identifying diseases early.

Our findings Toys show the potential of this advanced system to significantly improve agricultural practices and support sustainable food production.The YOLOv10n model achieved a 96.78% mAP-50 ratio for accurately locating diseased leaves.By integrating IoT capabilities, the system allows for remote control and continuous monitoring, eliminating the need for daily on-site expert inspections.

This approach not only enhances disease management efficiency but also has the potential to Dab Inserts increase crop yields and reduce pesticide use, contributing to more sustainable farming practices.