Work

A fast and robust method for plant count in sunflower and maize at different seedling stages using high-resolution UAV RGB imagery

Year: 2022

Type: article

Source: Precision Agriculture

DOI: 10.1007/s11119-022-09907-1

Authors: Yi Bai, Chenwei Nie, Hongwu Wang, Minghan Cheng, Shuaibing Liu, Xun Yu, Mingchao Shao, Zixu Wang, Siyu Wang, Nuremanguli Tuohuti, Lei Shi, Bo Ming, Xiuliang Jin

Institutions: Chinese Academy of Agricultural Sciences, Institute of Crop Sciences

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: National Natural Science Foundation of China, National Key Research and Development Program of China

Awards: G3635957831, 联合植株密度和整齐度的玉米苗情无人机影像评估方法研究

OpenAlex ID: W4281983142

FWCI: 5.102

Cites: 49

Cited by: 52

Related to: 10