Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Kevin P. Price"'
Autor:
Jinyu Wang, Xianran Li, Tingting Guo, Matthew J. Dzievit, Xiaoqing Yu, Peng Liu, Kevin P. Price, Jianming Yu
Publikováno v:
The Plant Genome, Vol 14, Iss 3, Pp n/a-n/a (2021)
Abstract Plant phenotyping under field conditions plays an important role in agricultural research. Efficient and accurate high‐throughput phenotyping strategies enable a better connection between genotype and phenotype. Unmanned aerial vehicle‐b
Externí odkaz:
https://doaj.org/article/3f5d20a5cb34478fade5b18153c138f6
Autor:
Deon Van der Merwe, Kevin P. Price
Publikováno v:
Toxins, Vol 7, Iss 4, Pp 1065-1078 (2015)
Harmful algal blooms (HABs) degrade water quality and produce toxins. The spatial distribution of HAbs may change rapidly due to variations wind, water currents, and population dynamics. Risk assessments, based on traditional sampling methods, are ha
Externí odkaz:
https://doaj.org/article/18b6e6b440994dd0b211d90c838f9237
Autor:
Xiaoqing Yu, Jianming Yu, Tingting Guo, Matthew J. Dzievit, Kevin P. Price, Jinyu Wang, Xianran Li, Peng Liu
Publikováno v:
The Plant Genome, Vol 14, Iss 3, Pp n/a-n/a (2021)
Plant phenotyping under field conditions plays an important role in agricultural research. Efficient and accurate high‐throughput phenotyping strategies enable a better connection between genotype and phenotype. Unmanned aerial vehicle‐based high
The use of drones has become widespread in agriculture, and it is associated with unique opportunities and challenges. The most common role of drones in agriculture is as a remote sensing platform to assess and monitor crops, but emerging agricultura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8130c7fa8ceb0d36b6b8d11ca7d06f72
https://doi.org/10.1016/bs.agron.2020.03.001
https://doi.org/10.1016/bs.agron.2020.03.001
Autor:
Nan An, William T. Schapaugh, Vara Prasad, Kevin P. Price, Allan K. Fritz, Brent S. Christenson
Publikováno v:
Crop Science. 56:625-643
Publikováno v:
International Journal of Remote Sensing. 36:1470-1483
The green leaf area index (LAI) is an important indicator of the photosynthetic capacity of turfgrass canopies. The measurement of LAI is typically destructive and requires large plots to allow for multiple sampling dates. Hyperspectral radiometry ma
Publikováno v:
Photogrammetric Engineering & Remote Sensing. 80:1151-1159
The authors examined the relationship between tallgrass above-ground biomass (AGB) and NDVI from ultra-high spatial resolution multispectral imagery collected by small unmanned aircraft systems (sUAS). This study was conducted at the Tallgrass Prairi
Publikováno v:
Crop Science. 54:1585-1597
Soybean (Glycine max (L.) Merr.) crop yield has steadily increased in the past 60 yr due in part to breeding advances. Relations between canopy spectral reflectance to specific plant functions may help characterize the impact of breeding on soybean c
Autor:
Kevin P. Price
Publikováno v:
2016 International Congress of Entomology.
Publikováno v:
International Journal of Remote Sensing. 33:220-242
Considering the potential of shaded coffee plantations mixed with natural vegetation for promoting biodiversity conservation, this project assessed the utility of multi-date Landsat Thematic Mapper (TM) satellite imagery for the characterization of n