Huaiqu Feng

Method for Obtaining Phenotypic Traits of Weeds in Complex Field Environments Based on Instance Segmentation

Q. longzhe, Bing Wu, S. Mao, 2020 .

Real-time recognition system of soybean seed full-surface defects based on deep learning

Longzhe Quan, Ruiqi Liu, Guoyang Zhao, 2021, Comput. Electron. Agric..

Rice seedling row detection based on morphological anchor points of rice stems

Sifang Long, Jun Wang, Huaiqu Feng, 2023, Biosystems Engineering.

Row anchor selection classification method for early-stage crop row-following

Longzhe Quan, Huaiqu Feng, Hailong Li, 2022, Comput. Electron. Agric..

E2CropDet: An efficient end-to-end solution to crop row detection

Sifang Long, Huaiqu Feng, Dong-Lin Li, 2023, Expert Systems with Applications.

Robust detection of headland boundary in paddy fields from continuous RGB-D images using hybrid deep neural networks

Yongwei Wang, Jun Wang, Sifang Long, 2023, Comput. Electron. Agric..

Instance segmentation based method to obtain the phenotypic information of weeds in complex field environments

Mao, Q longzhe, B Wu, 2020 .

Maize seedling detection under different growth stages and complex field environments based on an improved Faster R–CNN

Wang Qi, Liu Jingguo, Quan Longzhe, 2019, Biosystems Engineering.