Fanguo Zeng

According to our database, Fanguo Zeng authored at least 8 papers between 2018 and 2025.

Collaborative distances:

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

2025

Growth monitoring of rapeseed seedlings in multiple growth stages based on low-altitude remote sensing and semantic segmentation.

Fanguo Zeng, Rui Wang, Youming Jiang, Zhendong Liu, Youchun Ding, Wanjing Dong, Chunbao Xu, Dongjing Zhang, Jun Wang

Comput. Electron. Agric., 2025

Integrating UAV and high-resolution satellite remote sensing for multi-scale rice disease monitoring.

Lin Yuan, Qimeng Yu, Lirong Xiang, Fanguo Zeng, Jie Dong, Ouguan Xu, Jingcheng Zhang

Comput. Electron. Agric., 2025

2023

MT-Det: A novel fast object detector of maize tassel from high-resolution imagery using single level feature.

Fanguo Zeng, Ziyu Ding, Qingkui Song, Guangjun Qiu, Yongxin Liu, Xuejun Yue

Comput. Electron. Agric., November, 2023

Detection of calf abnormal respiratory behavior based on frame difference and improved YOLOv5 method.

Fanguo Zeng, Bin Li, Haifeng Wang, Jun Zhu, Nan Jia, Yuliang Zhao, Wenwen Zhao

Comput. Electron. Agric., August, 2023

Attention-aided semantic segmentation network for weed identification in pineapple field.

Yulin Cai, Fanguo Zeng, Jiayi Xiao, WenJie Ai, Gaobi Kang, Yongda Lin, Zhuxuan Cai, Haowen Shi, Shuxin Zhong, Xuejun Yue

Comput. Electron. Agric., July, 2023

2021

Spectral Data Classification By One-Dimensional Convolutional Neural Networks.

Fanguo Zeng, Wen Peng, Gaobi Kang, Zekai Feng, Xuejun Yue

Proceedings of the IEEE International Performance, 2021

Identification of Cotton Growing Stage Based on Faster-RCNN.

Zekai Feng, Gaobi Kang, Fanguo Zeng, Xuejun Yue

Proceedings of the IEEE International Performance, 2021

2018

Single-Kernel FT-NIR Spectroscopy for Detecting Supersweet Corn (<i>Zea mays</i> L. Saccharata Sturt) Seed Viability with Multivariate Data Analysis.

Guangjun Qiu, Enli Lü, Huazhong Lü, Sai Xu, Fanguo Zeng, Qin Shui

Sensors, 2018