Home /Research /MLG-YOLO: A Model for Real-Time Accurate Detection and Localization of Winter Jujube in Complex Structured Orchard Environments
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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

Year
2024
Citations
19

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.

Keywords

OrchardComputer scienceArtificial intelligenceObject detectionComputer visionRemote sensingPattern recognition (psychology)GeographyHorticulture

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