Towards real-time tracking and counting of seedlings with a one-stage detector and optical flow. - Chenjiao Tan; Changying Li; Dongjian He; Huaibo Song (Comput. Electron. Agric., 2022)

Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges. - Fei Dou; Jin Ye 001; Geng Yuan; Qin Lu 002; Wei Niu 002; Haijian Sun; Le Guan; Guoyu Lu; Gengchen Mai; Ninghao Liu; Jin Lu 001; Zhengliang Liu; et al. (CoRR, 2023)

On the Promises and Challenges of Multimodal Foundation Models for Geographical, Environmental, Agricultural, and Urban Planning Applications. - Chenjiao Tan; Qian Cao; Yiwei Li 002; Jielu Zhang; Xiao Yang; Huaqin Zhao; Zihao Wu 001; Zhengliang Liu; Hao Yang 018; Nemin Wu; Tao Tang; Xinyue Ye; et al. (CoRR, 2023)

Anchor-free deep convolutional neural network for tracking and counting cotton seedlings and flowers. - Chenjiao Tan; Changying Li; Dongjian He; Huaibo Song (Comput. Electron. Agric., 2023)

A customized density map model and segment anything model for cotton boll number, size, and yield prediction in aerial images. - Chenjiao Tan; Jin Sun 011; Huaibo Song; Changying Li (Comput. Electron. Agric., 2025)