Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Zhenwang, Li"'
Autor:
ZHANG Zhenwang, LI Jianqiang
Publikováno v:
Ziyuan Kexue, Vol 46, Iss 8, Pp 1570-1587 (2024)
[Objective] Urban-rural integration is a key factor affecting agricultural ecological efficiency. This paper clarifies the logical relationship between the two and its mechanism, hoping to provide policy enlightenment for promoting the steady improve
Externí odkaz:
https://doaj.org/article/145b2a6f9f2547919132923dd92a37cb
Autor:
Kunjia Lei, Wenxia Dai, Jing Wang, Zhenwang Li, Yi Cheng, Yuji Jiang, Weiqin Yin, Xiaozhi Wang, Xiaodong Song, Quan Tang
Publikováno v:
Agronomy, Vol 14, Iss 9, p 2176 (2024)
Exogenous organic carbon (C) inputs and their subsequent microbial and mineral transformation affect the accumulation process of soil organic C (SOC) pool. Nevertheless, knowledge gaps exist on how different long-term forms of crop straw incorporatio
Externí odkaz:
https://doaj.org/article/b722e9d92d7e4fba8d3b79820c13108b
Autor:
Yue Zhao, Dawei Xu, Shuzhen Li, Kai Tang, Hongliang Yu, Ruirui Yan, Zhenwang Li, Xu Wang, Xiaoping Xin
Publikováno v:
Agriculture, Vol 14, Iss 3, p 389 (2024)
Estimating forage yield and nutrient composition using hyperspectral remote sensing is a major challenge. However, there is still a lack of comprehensive research on the optimal wavelength for the analysis of various nutrients in pasture. In this res
Externí odkaz:
https://doaj.org/article/2f634e90e9304e509142eea4ac83cd24
Autor:
Beibei Shen, Jingpeng Guo, Zhenwang Li, Jiquan Chen, Wei Fang, Maira Kussainova, Amartuvshin Amarjargal, Alim Pulatov, Ruirui Yan, Oleg A. Anenkhonov, Wenneng Zhou, Xiaoping Xin
Publikováno v:
Remote Sensing, Vol 15, Iss 19, p 4736 (2023)
Leaf area index (LAI) is a key indicator of vegetation structure and function, and its products have a wide range of applications in vegetation condition assessment and usually act as important input parameters for ecosystem modeling. Grassland plays
Externí odkaz:
https://doaj.org/article/123769dc15424717afc8d6dcf6a6ed08
Grassland Carbon Change in Northern China under Historical and Future Land Use and Land Cover Change
Publikováno v:
Agronomy, Vol 13, Iss 8, p 2180 (2023)
Land use and land cover (LULC) change has greatly altered ecosystem carbon storage and exerted an enormous impact on terrestrial carbon cycling. Characterizing its impact on ecosystem carbon storage is critical to balance regional carbon budgets and
Externí odkaz:
https://doaj.org/article/2a5651fc16f84fd69095f134f44e08ef
Autor:
Beibei Shen, Lei Ding, Leichao Ma, Zhenwang Li, Alim Pulatov, Zheenbek Kulenbekov, Jiquan Chen, Saltanat Mambetova, Lulu Hou, Dawei Xu, Xu Wang, Xiaoping Xin
Publikováno v:
Remote Sensing, Vol 14, Iss 17, p 4196 (2022)
Leaf area index (LAI) is one of the key biophysical indicators for characterizing the growth and status of vegetation and is also used in modeling earth system processes. Machine learning algorithms (MLAs) such as random forest regression (RFR), arti
Externí odkaz:
https://doaj.org/article/a3d648fee4bc4c508c8ecb91cb50cd54
Publikováno v:
Remote Sensing, Vol 14, Iss 6, p 1384 (2022)
The rapid and accurate acquisition of rice growth variables using unmanned aerial system (UAS) is useful for assessing rice growth and variable fertilization in precision agriculture. In this study, rice plant height (PH), leaf area index (LAI), abov
Externí odkaz:
https://doaj.org/article/b91268b8a2b041bcbb1de3d414eba9fc
Publikováno v:
Sensors, Vol 22, Iss 4, p 1488 (2022)
Rapid quantification of soil organic matter (SOM) is a great challenge for the health assessment and fertility management of agricultural soil. Laser-induced breakdown spectroscopy (LIBS) with appropriate modeling algorithms is an alternative tool fo
Externí odkaz:
https://doaj.org/article/02e0485858074a63b816d4e3c9f3b189
Publikováno v:
Atmosphere, Vol 13, Iss 1, p 103 (2022)
Short episodes of low-temperature stress during reproductive stages can cause significant crop yield losses, but our understanding of the dynamics of extreme cold events and their impact on rice growth and yield in the past and present climate remain
Externí odkaz:
https://doaj.org/article/c0cc5fe31cec4049b1f2c5e972e3917a
Publikováno v:
Agronomy, Vol 11, Iss 12, p 2439 (2021)
The accurate estimation of grain yield in rice breeding is crucial for breeders to screen and select qualified cultivars. In this study, a low-cost unmanned aerial vehicle (UAV) platform mounted with an RGB camera was carried out to capture high-spat
Externí odkaz:
https://doaj.org/article/d986dfa2b4004c1fad1fb814d1e8c610