Real-time recognition system of soybean seed full-surface defects based on deep learning. - Guoyang Zhao; Longzhe Quan; Hailong Li; Huaiqu Feng; Songwei Li; Shuhan Zhang; Ruiqi Liu (Comput. Electron. Agric., 2021)

Row anchor selection classification method for early-stage crop row-following. - Chunyu Wei; Hailong Li; Junyi Shi; Guoyang Zhao; Huaiqu Feng; Longzhe Quan (Comput. Electron. Agric., 2022)

Robust detection of headland boundary in paddy fields from continuous RGB-D images using hybrid deep neural networks. - Dongfang Li; Boliao Li; Sifang Long; Huaiqu Feng; Yongwei Wang; Jun Wang 038 (Comput. Electron. Agric., 2023)

Labour-saving detection of hybrid rice rows at the pollination stage based on a multi-perturbed semi-supervised model. - Dongfang Li; Boliao Li; Huaiqu Feng; Te Xi; Jun Wang 038 (Comput. Electron. Agric., 2023)

E2CropDet: An efficient end-to-end solution to crop row detection. - Dongfang Li; Boliao Li; Shuo Kang; Huaiqu Feng; Sifang Long; Jun Wang 038 (Expert Syst. Appl., 2023)

Topological organization for hybrid rice growth stages Phenotype based on Contrastive clustering. - Huaiqu Feng; Te Xi; Yudi Ruan; Dunhong Yang; Yulei Pan; Rongkai Shi; Bo Chen; Yongwei Wang; Jun Wang 038 (Expert Syst. Appl., 2025)

Motion-Coupled Mapping Algorithm for Hybrid Rice Canopy. - Huaiqu Feng; Guoyang Zhao; Cheng Liu; Yongwei Wang; Jun Wang (CoRR, 2025)