Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Junho Yeom"'
Autor:
Henry O. Awika, Renesh Bedre, Junho Yeom, Thiago G. Marconi, Juan Enciso, Kranthi K. Mandadi, Jinha Jung, Carlos A. Avila
Publikováno v:
The Plant Genome, Vol 12, Iss 3, Pp n/a-n/a (2019)
Core Ideas High‐throughput imaging and genomic information can be combined to optimize marker development. Genome‐wide association studies identified loci associated with plant growth traits. We identified candidate genes associated with plant gr
Externí odkaz:
https://doaj.org/article/4548ba7196ff40fd8e09b884afc54ffe
Publikováno v:
Remote Sensing, Vol 13, Iss 2, p 282 (2021)
Sorghum is one of the most important crops worldwide. An accurate and efficient high-throughput phenotyping method for individual sorghum panicles is needed for assessing genetic diversity, variety selection, and yield estimation. High-resolution ima
Externí odkaz:
https://doaj.org/article/bbbcbac20c3448dc87dd1bb4e4f8150c
Publikováno v:
Remote Sensing, Vol 12, Iss 24, p 4122 (2020)
Citrus greening is a severe disease significantly affecting citrus production in the United States because the disease is not curable with currently available technologies. For this reason, monitoring citrus disease in orchards is critical to eradica
Externí odkaz:
https://doaj.org/article/39bb6230697049e3a430cfc8da449541
Publikováno v:
Remote Sensing, Vol 12, Iss 9, p 1412 (2020)
Chlorophyll-a (Chl-a) is one of the major indicators for water quality assessment and recent developments in ocean color remote sensing have greatly improved the ability to monitor Chl-a on a global scale. The coarse spatial resolution is one of the
Externí odkaz:
https://doaj.org/article/07e3de57f0b44290972e195ced0593be
Publikováno v:
Remote Sensing, Vol 11, Iss 19, p 2235 (2019)
A large number of evenly distributed conjugate points (CPs) in entirely overlapping regions of the images are required to achieve successful co-registration between very-high-resolution (VHR) remote sensing images. The CPs are then used to construct
Externí odkaz:
https://doaj.org/article/d273a0767f4a4e91894c300e5ae4276f
Autor:
Junho Yeom, Jinha Jung, Anjin Chang, Akash Ashapure, Murilo Maeda, Andrea Maeda, Juan Landivar
Publikováno v:
Remote Sensing, Vol 11, Iss 13, p 1548 (2019)
Unmanned aerial vehicle (UAV) platforms with sensors covering the red-edge and near-infrared (NIR) bands to measure vegetation indices (VIs) have been recently introduced in agriculture research. Consequently, VIs originally developed for traditional
Externí odkaz:
https://doaj.org/article/5fd3f132bd0247ffab6e5014ef639ff4
Automated Open Cotton Boll Detection for Yield Estimation Using Unmanned Aircraft Vehicle (UAV) Data
Publikováno v:
Remote Sensing, Vol 10, Iss 12, p 1895 (2018)
Unmanned aerial vehicle (UAV) images have great potential for various agricultural applications. In particular, UAV systems facilitate timely and precise data collection in agriculture fields at high spatial and temporal resolutions. In this study, w
Externí odkaz:
https://doaj.org/article/d7d4c0bf333d4b50b04b86408e4f5aa0
Publikováno v:
Remote Sensing, Vol 10, Iss 11, p 1804 (2018)
Combining pre-disaster optical and post-disaster synthetic aperture radar (SAR) satellite data is essential for the timely damage investigation because the availability of data in a disaster area is usually limited. This article proposes a novel meth
Externí odkaz:
https://doaj.org/article/499a1fa968724c60943dd655b54ed954
Publikováno v:
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography. 40:535-548
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2feb71b931cfd72fe7c989dd1b48e0fa
https://doi.org/10.7848/ksgpc.2022.40.6.535
https://doi.org/10.7848/ksgpc.2022.40.6.535
Publikováno v:
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography. 40:585-594
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::927e987bd770106f6058ee3d094b87b0
https://doi.org/10.7848/ksgpc.2022.40.6.585
https://doi.org/10.7848/ksgpc.2022.40.6.585