Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Yaxiao Niu"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 878-891 (2025)
The unmanned aerial vehicle (UAV) remote sensing technology provides new opportunities to estimate crop aboveground biomass (AGB). However, the application of UAV remote sensing data in practical farms remains challenging because to obtain UAV image
Externí odkaz:
https://doaj.org/article/bcc960aeb83445029b56f714168aa087
Autor:
Yaxiao Niu, Longfei Xu, Yanni Zhang, Lizhang Xu, Qingzhen Zhu, Aichen Wang, Shenjin Huang, Liyuan Zhang
Publikováno v:
Drones, Vol 8, Iss 10, p 578 (2024)
Estimating leaf chlorophyll content (LCC) in a timely manner and accurately is of great significance for the precision management of rape. The spectral index derived from UAV images has been adopted as a non-destructive and efficient way to map LCC.
Externí odkaz:
https://doaj.org/article/d740611d8e4c44df803dd06c0c84bda7
Publikováno v:
Agriculture, Vol 14, Iss 7, p 1064 (2024)
The rapid and accurate estimation of leaf chlorophyll content (LCC), an important indicator of crop photosynthetic capacity and nutritional status, is of great significance for precise nitrogen fertilization management. To explore the existence of a
Externí odkaz:
https://doaj.org/article/8cceee0d5aba4e0c9ad07f75bbe19f45
Publikováno v:
Crop Journal, Vol 10, Iss 5, Pp 1376-1385 (2022)
Estimating spatial variation in crop transpiration coefficients (CTc) and aboveground biomass (AGB) rapidly and accurately by remote sensing can facilitate precision irrigation management in semiarid regions. This study developed and assessed a novel
Externí odkaz:
https://doaj.org/article/b33479b32bb44c36a02d563815aef011
Autor:
Liyuan Zhang, Xiaoying Song, Yaxiao Niu, Huihui Zhang, Aichen Wang, Yaohui Zhu, Xingye Zhu, Liping Chen, Qingzhen Zhu
Publikováno v:
Agriculture, Vol 14, Iss 3, p 456 (2024)
As prior information for precise nitrogen fertilization management, plant nitrogen content (PNC), which is obtained timely and accurately through a low-cost method, is of great significance for national grain security and sustainable social developme
Externí odkaz:
https://doaj.org/article/f887159896854cf2bbead7b50b484f03
Autor:
Muhammad Sohail Memon, Shuren Chen, Yaxiao Niu, Weiwei Zhou, Osama Elsherbiny, Runzhi Liang, Zhiqiang Du, Xiaohu Guo
Publikováno v:
Agronomy, Vol 13, Iss 11, p 2691 (2023)
Sustainable agriculture and soil conservation methods are integral to ensuring food safety and mitigating environmental impacts worldwide. However, crop residue/straw serves many vital functions from tillage to harvest, so that quantifying the approp
Externí odkaz:
https://doaj.org/article/35ded97f8b614dd3a74aada48fbf44b0
Publikováno v:
Frontiers in Plant Science, Vol 10 (2019)
To identify drought-tolerant crop cultivars or achieve a balance between water use and yield, accurate measurements of crop water stress are needed. In this study, the canopy temperature (Tc) of maize at the late vegetative stage was extracted from h
Externí odkaz:
https://doaj.org/article/0ecb70f38d5b40f082b67e9470e3f744
Publikováno v:
Remote Sensing, Vol 13, Iss 5, p 1009 (2021)
Accurate estimation of fractional vegetation cover (FVC) from digital images taken by commercially available cameras is of great significance in order to monitor the vegetation growth status, especially when plants are under water stress. Two classic
Externí odkaz:
https://doaj.org/article/e1adbd4bdb394124a0362c2ccd367839
Publikováno v:
Remote Sensing, Vol 11, Iss 11, p 1261 (2019)
The rapid, accurate, and economical estimation of crop above-ground biomass at the farm scale is crucial for precision agricultural management. The unmanned aerial vehicle (UAV) remote-sensing system has a great application potential with the ability
Externí odkaz:
https://doaj.org/article/913b77cd4b944eb69118024c3dc740f8
Publikováno v:
Remote Sensing, Vol 11, Iss 6, p 605 (2019)
Mapping maize water stress status and monitoring its spatial variability at a farm scale are a prerequisite for precision irrigation. High-resolution multispectral images acquired from an unmanned aerial vehicle (UAV) were used to evaluate the applic
Externí odkaz:
https://doaj.org/article/a099016505314b228dcd667b02484a2e