关键词: 枣果实, 成熟度, YOLO算法, 目标检测, 智能采摘

Abstract: It is an important way to solve the shortage of rural labor force and reduce the cost of fruit picking to realize mechanized intelligent picking in orchards. Accurate identification of fruit in orchards is the key technology. We took jujube as the research object. In order to establish a maturity identification model suitable for multiple varieties and strong practicability, the jujube fruits of many varieties in natural environment were divided into mature fruit, immature fruit and ripe fruit, semired fruit and immature fruit labeling methods, and four recognition models based on YOLO V3, YOLO V4, YOLO V4-Tiny and Mobilenet-YOLO V4-Lite were established. The study showed that both YOLO V3 and YOLO V4-Tiny models in the YOLO algorithm could be applied to the two labeling methods, and the verification set mAP was about 94%, which proved that the YOLO algorithm could effectively identify the maturity of jujube fruits.

Key words: jujube, maturity, YOLO algorithm, target detection, intelligence gathering