Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Yuping Lei"'
Publikováno v:
Agricultural Water Management, Vol 291, Iss , Pp 108654- (2024)
Evapotranspiration is the real water consumption element in agricultural water management. In order to improve the efficiency of agricultural water use and maintain the sustainable development of agriculture, more and more attention has been paid to
Externí odkaz:
https://doaj.org/article/ee0690cc80d94b50a2e977fc64bb2994
Autor:
Yueqi Wang, Hanshuo Xun, Liubin Wang, Shirin Aktar, Yuping Lei, Rui Zhang, Liyuan Wang, Kang Wei
Publikováno v:
Foods, Vol 13, Iss 3, p 495 (2024)
Hydrolyzed tannin 1,2,6-tri-O-galloyl-β-D-glucopyranose (1,2,6-TGGP) possesses significant medicinal properties. However, little is known about its underlying molecular mechanisms. In this study, the levels of 1,2,6-TGGP in tea materials from differ
Externí odkaz:
https://doaj.org/article/7ef5961dd98e4be2a9a7ee32a010f480
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Caffeine is a characteristic secondary metabolite in tea plants. It confers tea beverage with unique flavor and excitation effect on human body. The pathway of caffeine biosynthesis has been generally established, but the mechanism of caffeine transp
Externí odkaz:
https://doaj.org/article/c731c6214bcf4828b1e7cc2aea9db68c
Autor:
Rui Ni, Xiaohui Zhu, Yuping Lei, Xiaoxin Li, Wenxu Dong, Chuang Zhang, Tuo Chen, David M. Mburu, Chunsheng Hu
Publikováno v:
Agriculture, Vol 12, Iss 1, p 79 (2022)
Accurate crop identification and spatial distribution mapping are important for crop production estimation and famine early warning, especially for food-deficit African agricultural countries. By evaluating existing preprocessing methods for classifi
Externí odkaz:
https://doaj.org/article/d3744d62087047f1853b09842f63b7fb
Publikováno v:
Remote Sensing, Vol 12, Iss 1, p 95 (2019)
Compared to conventional laboratory testing methods, crop nitrogen estimation methods based on canopy spectral characteristics have advantages in terms of timeliness, cost, and practicality. A variety of rapid and non-destructive estimation methods b
Externí odkaz:
https://doaj.org/article/033b33a29bb24ab8b729cdb8e7d84068
Publikováno v:
Scientia Agricola, Vol 68, Iss 1, Pp 8-17 (2011)
This paper presents a case study of resilience theory to understand agricultural systems in the Luancheng County of the North China Plain. A dynanic system model coupled with social, economic and ecological subsystems of agriculture for the Luancheng
Externí odkaz:
https://doaj.org/article/c989c7086a1a4489950465dcb247810e
Publikováno v:
Water, Vol 10, Iss 10, p 1295 (2018)
In North China Plain, accurate spatial and temporal ET and precipitation pattern is very important in the groundwater resource assessment. This study demonstrated the potential for modelling ET and groundwater processes using remote sensing data for
Externí odkaz:
https://doaj.org/article/5ae4a164ceab434084b7304e5b655761
Autor:
Aktar Shirin, Yazhen Zhang, Peng Mao, Yuping Lei, Peixian Bai, Yongxin Wang, Li Ruan, Hanshuo Xun, Liyun Wu, Hao Cheng, Liyuan Wang, Kang Wei
Publikováno v:
Plant Growth Regulation. 98:343-358
Autor:
Aktar Shirin, Yazhen Zhang, Peng Mao, Yuping Lei, Peixian Bai, Yongxin Wang, Li Ruan, Hanshuo Xun, Liyun Wu, Hao Cheng, Liyuan Wang, Kang Wei
Light is one of the most prestigious environmental sign, which stimulates plant metabolite consequences. Zhong Ming 6 (ZM6) is a green tea (Camellia sinensis) cultivar with highly accumulating TGGP. Here, three kinds of supplemental light wavelengths
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cdb3bb9e4ae5865bc455bac4c79a10b
https://doi.org/10.21203/rs.3.rs-1070274/v1
https://doi.org/10.21203/rs.3.rs-1070274/v1
Publikováno v:
Li, C, Li, H, Li, J, Yuping, L, Li, C, Manevski, K & Shen, Y 2019, ' Using NDVI Percentiles to Monitor Real-Time Crop Growth ', Computers and Electronics in Agriculture, vol. 162, pp. 357-363 . https://doi.org/10.1016/j.compag.2019.04.026
The Normalized Difference Vegetation Index (NDVI) is a widely used remote sensing indicator for crop growth monitoring, farmland management and crop production prediction. Traditional monitoring methods that are based on the NDVI difference (dNDVI) a