24 Dec 2025
CMD-YOLO is a new lightweight and fast algorithm that detects cherry ripeness in real time. Developed in Yunnan, it overcomes the limitations of traditional methods, improving accuracy and speed for more effective and smarter precision farming.
23 Jul 2024
Three separate methodologies, namely the YOLOv8s, RtmDET MM Detection and DETR Transformer algorithms, were trained on the generated hybrid dataset and compared with each other. The YOLOv8s algorithm showed the best performance as a result of the training.
10 Jul 2024
The research conducted by Utah State University evaluated two methodologies for monitoring sour cherry yields: one incorporating proximity sensors to detect changes in the harvest tank and the other employing computer vision for fruit counting in real time.
