Yajia Liu

According to our database, Yajia Liu authored at least 7 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Corrigendum to "Multi-task deep convolutional neural network for weed detection and navigation path extraction" [Comput. Electron. Agric. 229 (2025) 109776].

Yongda Lin, Lingxiao Wang, Shiyu Xia, Baiyu Qiao, Hu Han, Linhui Wang, Xiongkui He, Yajia Liu

Comput. Electron. Agric., 2026

2025

Multi-task deep convolutional neural network for weed detection and navigation path extraction.

Yongda Lin, Shiyu Xia, Lingxiao Wang, Baiyu Qiao, Hu Han, Linhui Wang, Xiongkui He, Yajia Liu

Comput. Electron. Agric., 2025

Low-altitude remote sensing and deep learning-based canopy detection method for the navigation of orchard unmanned ground vehicles.

Yongda Lin, Xiaofei Song, Weiming Xiao, Dongdong Kuang, Shiyu Xia, Honggen Chang, Supakorn Wongsuk, Xiongkui He, Yajia Liu

Comput. Electron. Agric., 2025

2024

Monitoring system for peanut leaf disease based on a lightweight deep learning model.

Yongda Lin, Linhui Wang, Tingting Chen, Yajia Liu, Lei Zhang

Comput. Electron. Agric., 2024

Navigation system for orchard spraying robot based on 3D LiDAR SLAM with NDT_ICP point cloud registration.

Saike Jiang, Peng Qi, Leng Han, Limin Liu, Yangfan Li, Zhan Huang, Yajia Liu, Xiongkui He

Comput. Electron. Agric., 2024

2023

Modeling and analysis of droplet deposition behavior: From the micro and macro perspectives.

Baiyu Qiao, Yajia Liu, Xiongkui He, Lingxiao Wang, Hu Han, Lanting Zhang, Peng Qi, Limin Liu, Leng Han, Shaoqing Xu, Zhan Huang, Tao Wu, Li Yang

Comput. Electron. Agric., July, 2023

2022

Maize Characteristics Estimation and Classification by Spectral Data under Two Soil Phosphorus Levels.

Baiyu Qiao, Xiongkui He, Yajia Liu, Hao Zhang, Lanting Zhang, Limin Liu, Alice-Jacqueline Reineke, Wenxin Liu, Joachim Müller

Remote. Sens., 2022