Author:
Li Yatao,He Leiying,Jia Jiangming,Lv Jun,Chen Jianneng,Qiao Xin,Wu Chuanyu
Funder
National Natural Science Foundation of China
Subject
Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry
Reference27 articles.
1. Chen, J., Chen, Y., Jin, X., Che, J., Gao, F., Li, N., 2015. Research on a parallel robot for tea flushes plucking, in: 2015 International Conference on Education, Management, Information and Medicine. Atlantis Press. https://doi.org/10.2991/emim-15.2015.5.
2. Localizing plucking points of tea leaves using deep convolutional neural networks;Chen;Comput. Electron. Agric.,2020
3. Chen, Y.-T., Wu, C.-C., Chen, S.-F., 2018. Application of deep learning algorithm on tea shoot identification and localization, in: 2018 ASABE Annual International Meeting. American Society of Agricultural and Biological Engineers, pp. 1–6. https://doi.org/10.13031/aim.201801253.
4. FAO, 2018. Current Market Situation and Medium Term Outlook. CCP:TE 18/CRS1. Rome, Italy: FAO. Retrieved from http://www.fao.org/3/BU642en/bu642en.pdf.
5. Application of consumer RGB-D cameras for fruit detection and localization in field: A critical review;Fu;Comput. Electron. Agric.,2020
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