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ARS Home » Plains Area » Temple, Texas » Grassland Soil and Water Research Laboratory » Research » Publications at this Location » Publication #421207
Research Project: Development of Enhanced Tools and Management Strategies to Support Sustainable Agricultural Systems and Water Quality

Location: Grassland Soil and Water Research Laboratory

Title: Hyperspectral reflectance and machine learning for multi-site monitoring of cotton growth

Author
item Flynn, Kyle
item Witt, Travis
item BAATH, GURJINDER - Texas Agrilife Research
item CHINMAYI, H - Oak Ridge Institute For Science And Education (ORISE)
item Smith, Douglas
item Gowda, Prasanna
item Ashworth, Amanda

Submitted to: Ag Data Commons
Publication Type: Database / Dataset
Publication Acceptance Date: 11/20/2024
Publication Date: 11/20/2024
Citation: Flynn, K.C., Witt, T.W., Baath, G.S., Chinmayi, H.K., Smith, D.R., Gowda, P.H., Ashworth, A.J. 2024. Cotton (Gossypium hirsutum L.) biophysical, biochemical, and hyperspectral data from LTAR USDA-ARS stations. Ag Data Commons. https://doi.org/10.15482/USDA.ADC/27765477.v1.
DOI: https://doi.org/10.15482/USDA.ADC/27765477.v1

Interpretive Summary: Two field research projects focused on cotton were conducted at the El Reno, OK and Temple, TX USDA-ARS research stations. These two stations took in-situ measurements of height, node count, leaf area index (LAI), canopy cover percentage, and chlorophyll content. Directly following these measurements a spectroradiometer was utilized to collect hyperspectral data from 350nm to 2500nm. The locations of both the in-situ and hyperspectral data collections were chosen at random throughout the field projects and took place in 2019 (OK) and 2022 (TX).

Technical Abstract: Two field research projects focused on cotton were conducted at the El Reno, OK and Temple, TX USDA-ARS research stations. These two stations took in-situ measurements of height, node count, leaf area index (LAI), canopy cover percentage, and chlorophyll content. Directly following these measurements a spectroradiometer was utilized to collect hyperspectral data from 350nm to 2500nm. The locations of both the in-situ and hyperspectral data collections were chosen at random throughout the field projects and took place in 2019 (OK) and 2022 (TX).