Konga Upendar

Segmentation of Mandarin Oranges With Deep Learning for Postharvest Quality Analysis

This study contributes to advancements in agricultural technology and food security by employing YOLO‐based deep learning techniques on Raspberry Pi for fruit segmentation and quality assessment. The research utilizes two object detection architectures, namely YOLOv5 and YOLOv7, to segment mandarin oranges using stat...