MLG-YOLO: A Model for Real-Time Accurate Detection and Localization of Winter Jujube in Complex Structured Orchard Environments
Chenhao Yu, Xiaoyi Shi, Wenkai Luo, Junzhe Feng, Zhouzhou Zheng, Ayanori Yorozu, Yaohua Hu, Jiapan Guo
Abstract
directions are 4.20, 4.70, and 3.90 mm, respectively. This method enables accurate detection and localization of winter jujubes, providing technical support for winter jujube harvesting robots.
Topics & Concepts
OrchardComputer scienceArtificial intelligenceObject detectionComputer visionRemote sensingPattern recognition (psychology)GeographyHorticultureBiologySmart Agriculture and AIRemote Sensing and LiDAR ApplicationsRemote Sensing and Land Use