Full TGIF Record # 311611
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Web URL(s):https://newprairiepress.org/cgi/viewcontent.cgi?article=7593&context=kaesrr
    Last checked: 01/04/2021
    Requires: PDF Reader
Publication Type:
i
Report
Author(s):Hong, Mu; Bremer, Dale; van der Merwe, Deon
Author Affiliation:Hong and Bremer: Kansas State University; and van der Merwe: University of Utrecht, The Netherlands
Title:Evaluating small unmanned aerial systems for detecting drought stress on turfgrass
Source:2018 Turfgrass Research: Research Reports [Kansas State University]. Vol. 4, No. 6, July 2018, p. 1-7.
Publishing Information:Manhattan, Kansas: Kansas State University Agricultural Experiment Station and Cooperative Extension Service
# of Pages:7
Related Web URL:https://newprairiepress.org/kaesrr/vol4/iss6/3/
    Last checked: 01/04/2021
    Notes: Abstract only
Keywords:Author-Supplied Keywords: Drought; Prediction; Ddrone; Reflectance; Vegetation index
Abstract/Contents:"This study was conducted to evaluate early detection ability of small unmanned aerial systems (sUAS) technology for drought stress on turfgrass. Certain reflectances collected by sUAS and a handheld device declined more in less irrigated treatments before drought stress was evident in visual quality rating (VQ) and percentage green cover (PGC). The near infrared (NIR) band and GreenBlue vegetation index performed the best consistently for drought stress prediction among the other vegetation indices (VI) or bands from sUAS. Results indicate using ultra-high resolution remote sensing with sUAS can detect drought stress as well as, if not better than, a handheld device before it is visible to the human eye, and may provide valuable evidence for irrigation management in turfgrass."
Language:English
References:0
Note:"Article 3"
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ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Hong, M., D. Bremer, and D. van der Merwe. 2018. Evaluating small unmanned aerial systems for detecting drought stress on turfgrass. K-State Turfgrass Res. 4(6):p. 1-7.
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Web URL(s):
https://newprairiepress.org/cgi/viewcontent.cgi?article=7593&context=kaesrr
    Last checked: 01/04/2021
    Requires: PDF Reader
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