Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Jinkang Hu"'
Autor:
Hongchi Zhang, Zihang Lou, Dailiang Peng, Bing Zhang, Wang Luo, Jianxi Huang, Xiaoyang Zhang, Le Yu, Fumin Wang, Linsheng Huang, Guohua Liu, Shuang Gao, Jinkang Hu, Songlin Yang, Enhui Cheng
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-18 (2024)
Abstract China, as the world’s biggest soybean importer and fourth-largest producer, needs accurate mapping of its planting areas for global food supply stability. The challenge lies in gathering and collating ground survey data for different crops
Externí odkaz:
https://doaj.org/article/efeb73df32164e10b14ed02d88500aa3
Autor:
Hongchi Zhang, Zihang Lou, Dailiang Peng, Bing Zhang, Wang Luo, Jianxi Huang, Xiaoyang Zhang, Le Yu, Fumin Wang, Linsheng Huang, Guohua Liu, Shuang Gao, Jinkang Hu, Songlin Yang, Enhui Cheng
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-2 (2024)
Externí odkaz:
https://doaj.org/article/4e5ac0477ad84a6cb30ff8d8ceb218ae
Autor:
Songlin Yang, Shanshan Li, Bing Zhang, Ruyi Yu, Cunjun Li, Jinkang Hu, Shengwei Liu, Enhui Cheng, Zihang Lou, Dailiang Peng
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Accurate estimation of fractional vegetation cover (FVC) is essential for crop growth monitoring. Currently, satellite remote sensing monitoring remains one of the most effective methods for the estimation of crop FVC. However, due to the significant
Externí odkaz:
https://doaj.org/article/e915fda2d16e44e294b8b73a2c8a16d4
Autor:
Enhui Cheng, Bing Zhang, Dailiang Peng, Liheng Zhong, Le Yu, Yao Liu, Chenchao Xiao, Cunjun Li, Xiaoyi Li, Yue Chen, Huichun Ye, Hongye Wang, Ruyi Yu, Jinkang Hu, Songlin Yang
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Accurate predictions of wheat yields are essential to farmers’production plans and to the international trade in wheat. However, only poor approximations of the productivity of wheat crops in China can be obtained using traditional linear regressio
Externí odkaz:
https://doaj.org/article/7e817de5247c4fbaa10c2d00c134dda0
Autor:
Jinkang Hu, Bing Zhang, Dailiang Peng, Ruyi Yu, Yao Liu, Chenchao Xiao, Cunjun Li, Tao Dong, Moren Fang, Huichun Ye, Wenjiang Huang, Binbin Lin, Mengmeng Wang, Enhui Cheng, Songlin Yang
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
The tiller density is a key agronomic trait of winter wheat that is essential to field management and yield estimation. The traditional method of obtaining the wheat tiller density is based on manual counting, which is inefficient and error prone. In
Externí odkaz:
https://doaj.org/article/0fd19f92df7f479ab40b28ccdff2acb5
Publikováno v:
Materials Research Express, Vol 10, Iss 12, p 126514 (2023)
The CoCrFeNiMo _x (x = 0, 0.5, 1, 1.5 in molar ratio) high-entropy alloys (HEAs) coating were prepared on AISI1045 steel by laser cladding. The microstructure, hardness and tribological properties were investigated through x-ray diffraction, scanning
Externí odkaz:
https://doaj.org/article/391725c2e7e343eaa407641a536f2890
Autor:
Zihang Lou, Dailiang Peng, Xiaoyang Zhang, Le Yu, Fumin Wang, Yuhao Pan, Shijun Zheng, Jinkang Hu, Songlin Yang, Yue Chen, Shengwei Liu
Publikováno v:
Remote Sensing, Vol 14, Iss 8, p 1867 (2022)
Currently, analyses related the status of soybeans, a major oil crop, as well as the related climate drivers, are based on on-site data and are generally focused on a particular country or region. This study used remote sensing, meteorological, and s
Externí odkaz:
https://doaj.org/article/33b76002bd344414814862fc126f1cb3
Autor:
Shengwei Liu, Dailiang Peng, Bing Zhang, Zhengchao Chen, Le Yu, Junjie Chen, Yuhao Pan, Shijun Zheng, Jinkang Hu, Zihang Lou, Yue Chen, Songlin Yang
Publikováno v:
Remote Sensing, Vol 14, Iss 4, p 893 (2022)
The aim of this study was to explore the differences in the accuracy of winter wheat identification using remote sensing data at different growth stages using the same methods. Part of northern Henan Province, China was taken as the study area, and t
Externí odkaz:
https://doaj.org/article/a3ce270bbb6b4931a35ff792a294caa5
Publikováno v:
Materials Research Express, Vol 9, Iss 3, p 036510 (2022)
A series of FeCrNiMnAl _x (x = 0, 0.3, 0.5, 0.8, 1.0 in molar ratio) high entropy alloys (HEAs) were prepared by the vacuum arc melting method. The effects of Al content on the microstructure, mechanical and wear properties were investigated. For FeC
Externí odkaz:
https://doaj.org/article/55f892754f2c47f8a9ddca4def5eda9b
Publikováno v:
Materials and Corrosion. 71:1747-1754