Work

Poplar seedling varieties and drought stress classification based on multi-source, time-series data and deep learning

Year: 2024

Type: article

Source: Industrial Crops and Products

DOI: 10.1016/j.indcrop.2024.118905

Authors: Lu Wang, Huichun Zhang, Liming Bian, Lei Zhou, Shengyi Wang, Yufeng Ge

Institutions: Nanjing Forestry University, University of Nebraska–Lincoln

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDG: Zero hunger

Open Access status: closed

Funders: Jiangsu Academy of Agricultural Sciences, National Natural Science Foundation of China, Ministry of Science and Technology of the People's Republic of China, Jiangsu Agricultural Science and Technology Independent Innovation Fund, National Key Research and Development Program of China

Awards: G3612500738, G4204782396, G5811391315, G6171461642, G731623244

OpenAlex ID: W4399466501

FWCI: 5.81

Cites: 57

Cited by: 26

Related to: 10