Detection and Analysis of Behavior Trajectory for Sea Cucumbers Based on Deep Learning. - Juan Li; Chen Xu; Lingxu Jiang; Ying Xiao; Limiao Deng; Zhongzhi Han (IEEE Access, 2020)

Monitoring the Change Process of Banana Freshness by GoogLeNet. - Jiangong Ni; Jiyue Gao; Limiao Deng; Zhongzhi Han (IEEE Access, 2020)

Analysis of Behavior Trajectory Based on Deep Learning in Ammonia Environment for Fish. - Wenkai Xu; Zhaohu Zhu; Fengli Ge; Zhongzhi Han; Juan Li (Sensors, 2020)

Recognition of carrot appearance quality based on deep feature and support vector machine. - Hongfei Zhu; Lianhe Yang; Jianwu Fei; Longgang Zhao; Zhongzhi Han (Comput. Electron. Agric., 2021)

Quantitative aflatoxin B1 detection and mining key wavelengths based on deep learning and hyperspectral imaging in subpixel level. - Hongfei Zhu; Lianhe Yang; Zhongzhi Han (Comput. Electron. Agric., 2023)

A self-iterative learning with dual attention mechanism fusion method for pumpkin seed quality equipment. - Weiming Shi; Runzhe Zhang; Kui Xuan; Cong Wang; Huayu Fu; Longgang Zhao; Juan Li; Zhongzhi Han (Eng. Appl. Artif. Intell., 2024)

A pumpkin seed vitality detection model based on deep spectral features. - Weiming Shi; Hongfei Zhu; Miaomiao Lu; Juan Li; Zhongzhi Han (Comput. Electron. Agric., 2025)

Potato disease detection and prevention using multimodal AI and large language model. - Hongfei Zhu; Weiming Shi; Xinyu Guo; Shiting Lyu; Ranbing Yang; Zhongzhi Han (Comput. Electron. Agric., 2025)

Identification of maize seed vigor under different accelerated aging times using hyperspectral imaging and spectral deep features. - Hongfei Zhu; Ranbing Yang; Miaomiao Lu; Weiming Shi; Wenbin Sun; Danyang Lv; Hang Liu; Qiong Wu; Xuwen Jiang; Zhongzhi Han (Comput. Electron. Agric., 2025)

Pixel-level spectral reconstruction and compressed projection based on deep learning in detecting aflatoxin B1. - Hongfei Zhu; Yifan Zhao; Longgang Zhao; Ranbing Yang; Zhongzhi Han (Comput. Electron. Agric., 2025)

Efficient intelligent quality detection of pistachios using multi-view deep learning. - Hongfei Zhu; Huayu Fu; Cong Wang; Zhenlu Hua; Xingyu Liu; Weiming Shi; Ziyan Zong; Yanshen Zhao; Fei Liu; Limiao Deng; Ranbing Yang; Zhongzhi Han (Eng. Appl. Artif. Intell., 2025)