Pixel-class prediction for nitrogen content of tea plants based on unmanned aerial vehicle images using machine learning and deep learning

Autor:	Shu-Mao Wang, Jun-Hui Ma, Zhu-Meng Zhao, Hong-Zhi-Yuan Yang, Yi-Min Xuan, Jia-Xue Ouyang, Dong-Mei Fan, Jin-Feng Yu, Xiao-Chang Wang
Rok vydání:	2023
Předmět:	Artificial Intelligence General Engineering Computer Science Applications
Zdroj:	Expert Systems with Applications. 227:120351
ISSN:	0957-4174
DOI:	10.1016/j.eswa.2023.120351
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b4154bfd72c0396dc91bde65974819d6 https://doi.org/10.1016/j.eswa.2023.120351 Zobrazit plný text záznamu Full Text from ScienceDirect