Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Qiuxiang Yi"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 14161-14178 (2024)
Timely and accurate crop yield estimation is crucial for managing crops, trade, and food security. The combination of remote sensing technology with machine learning methods is increasingly popular for global yield prediction. However, traditional ma
Externí odkaz:
https://doaj.org/article/74875ffdded24fa882e4d4078dbe363f
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 122, Iss , Pp 103415- (2023)
Growth monitoring of rice is of great significance to food security of human society. Rice flowering is an important growing stage for grain formation, and flower intensity is the dominant factor in determining rice yield. The estimation of flower in
Externí odkaz:
https://doaj.org/article/f0e2ec142fbf4f73b9e86b2bc67d64e0
Autor:
Fumin Wang, Qiuxiang Yi, Lili Xie, Xiaoping Yao, Jueyi Zheng, Tianyue Xu, Jiale Li, Siting Chen
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Amylose content (AC) is an important indicator for rice quality grading. The rapid development of unmanned aerial vehicle (UAV) technology provides rich spectral and spatial information on observed objects, making non-destructive monitoring of crop q
Externí odkaz:
https://doaj.org/article/d0e2ed4389de41e98506d145e275180f
Combining spectral and textural information in UAV hyperspectral images to estimate rice grain yield
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 102, Iss , Pp 102397- (2021)
The speedy development of UAV (Unmanned Aerial Vehicle) has provided more data choices for crop yield estimation. In most cases, spectral information derived from multispectral or hyperspectral images is used alone for yield estimation, while variabl
Externí odkaz:
https://doaj.org/article/fb47495d788e47179e8354aa96dc15e2
Publikováno v:
Remote Sensing, Vol 14, Iss 15, p 3607 (2022)
Rice is one of the most important food crops around the world. Remote sensing technology, as an effective and rapidly developing method, has been widely applied to precise rice management. To observe the current research status in the field of rice r
Externí odkaz:
https://doaj.org/article/55a56997991841a3b841c2efb4df7e1c
Autor:
Fumin Wang, Siting Chen, Qiuxiang Yi, Dailiang Peng, Xiaoping Yao, Tianyue Xu, Jueyi Zheng, Jiale Li
Publikováno v:
Remote Sensing, Vol 14, Iss 12, p 2788 (2022)
The phenology indicator of vegetation green-up dates (GUD) is prone to being affected by changes in temperature. However, the influencing degree of urbanization-induced temperature warming on vegetation GUDs among different vegetation species along t
Externí odkaz:
https://doaj.org/article/19ce719e7b60476ba3848f75a3b04c99
Combining spectral and textural information in UAV hyperspectral images to estimate rice grain yield
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation. 102:102397
The speedy development of UAV (Unmanned Aerial Vehicle) has provided more data choices for crop yield estimation. In most cases, spectral information derived from multispectral or hyperspectral images is used alone for yield estimation, while variabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80687d451807739a555f3d3de196f4a6
https://doi.org/10.1016/j.jag.2021.102397
https://doi.org/10.1016/j.jag.2021.102397
Publikováno v:
Urban Forestry & Urban Greening. 26:114-123
Populus euphratica (P. euphratica ) grows in the water-limited Tarim River Basin in spatially heterogeneous open ecosystems; thus, efforts to quantify the leaf area index (LAI) with optical instruments developed for homogeneous closed canopies have a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90250a6e0f3a3bbe341c6558a79832d4
https://doi.org/10.1016/j.ufug.2017.06.010
https://doi.org/10.1016/j.ufug.2017.06.010
Publikováno v:
Irrigation and Drainage. 65:461-468
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0bfa9d887c9d9d8398ce09f4e2309e2
https://doi.org/10.1002/ird.2015
https://doi.org/10.1002/ird.2015