Implementation of deep-learning algorithm for obstacle detection and collision avoidance for robotic harvester. - Yang Li 113; Michihisa Iida; Tomoya Suyama; Masahiko Suguri; Ryohei Masuda (Comput. Electron. Agric., 2020)

Detection of ground straw coverage under conservation tillage based on deep learning. - Deyi Zhou; Mao Li; Yang Li 113; Jiangtao Qi; Kai Liu; Cong Xu; Xinliang Tian (Comput. Electron. Agric., 2020)

An Acquisition Method of Agricultural Equipment Roll Angle Based on Multi-Source Information Fusion. - Yang Li 113; Honglei Jia; Jiangtao Qi; Huibin Sun; Xinliang Tian; Huili Liu; Xuhui Fan 004 (Sensors, 2020)

Detection of typical obstacles in orchards based on deep convolutional neural network. - Yang Li 113; Mao Li; Jiangtao Qi; Deyi Zhou; Zongfeng Zou; Kai Liu (Comput. Electron. Agric., 2021)

Nondestructive Testing and Visualization of Catechin Content in Black Tea Fermentation Using Hyperspectral Imaging. - Chunwang Dong; Chongshan Yang; Zhongyuan Liu; Rentian Zhang; Peng Yan; Ting An; Yan Zhao; Yang Li 113 (Sensors, 2021)

An improved YOLOv5 model based on visual attention mechanism: Application to recognition of tomato virus disease. - Jiangtao Qi; Xiangnan Liu; Kai Liu; Farong Xu; Hui Guo; Xinliang Tian; Mao Li; Zhiyuan Bao; Yang Li 113 (Comput. Electron. Agric., 2022)

A lightweight tea bud detection model based on Yolov5. - Zhiyong Gui; Jianneng Chen; Yang Li 113; Zhiwei Chen; Chuanyu Wu; Chunwang Dong (Comput. Electron. Agric., 2023)