Author:
Li Yu,Qian Meiyu,Liu Pengfeng,Cai Qian,Li Xiaoying,Guo Junwen,Yan Huan,Yu Fengyuan,Yuan Kun,Yu Juan,Qin Luman,Liu Hongxin,Wu Wan,Xiao Peiyun,Zhou Ziwei
Funder
National Natural Science Foundation of China
Government Support Enterprise Development Funding of Hubei Province
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Reference23 articles.
1. Pádua, L., Adão, T., Hruška, J., et al.: Very high resolution aerial data to support multi-temporal precision agriculture information management. Proc. Comput. Sci. 121, 407–414 (2017)
2. Schmidt, D.F., Botwinick, J.: UAV-based imaging for multi-temporal, very high resolution crop surface models to monitor crop growth variability. Photogrammetrie-Fernerkundung-Geoinformation 6(6), 551–562 (2013)
3. Bendig, J., Yu, K., Aasen, H., et al.: Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley. Int. J. Appl. Earth Obs. Geoinf. 39, 79–87 (2015)
4. Shen, K., Li, W., Pei, Z., et al.: Crop area estimation from UAV transect and MSR image data using spatial sampling method. Proc. Environ. Sci. 26, 95–100 (2015)
5. Chang, A., Jung, J., Maeda, M.M., et al.: Crop height monitoring with digital imagery from unmanned aerial system (UAS). Comput. Electron. Agric. 141, 232–237 (2017)
Cited by
46 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献