Data from: Site-specific management of cotton root rot using airborne and high resolution satellite imagery and variable rate technology
Cotton root rot disease tends to occur in the same general areas within fields in recurring years, thus site-specific application of Topguard Terra fungicide only to infested areas can be as effective as and considerably more economical than uniform application. The overall objective of this research was to demonstrate how site-specific fungicide application could be implemented based on historical remote sensing imagery and using variable-rate technology.
PhenoCam images from ARSLTARMDCR site, Caroline County, Maryland, USA since 2017
This data set consists of repeat digital imagery from a tower-mounted digital camera (hereafter, PhenoCam) maintained by the USDA-ARS Hydrology Remote Sensing Laboratory (HRSL) in the Lower Chesapeake Bay (LCB) watershed. HRSL is a member of the PhenoCam network, which has as its mission to serve as a long-term, continental-scale, phenological observatory. Imagery is uploaded to the PhenoCam server every 30 minutes.
PhenoCam images from ARSOPE3LTAR site, Beltsville Agricultural Research Center, Maryland, USA since 2017
This data set consists of repeat digital imagery from a tower-mounted digital camera (hereafter, PhenoCam) maintained by the USDA-ARS Hydrology Remote Sensing Laboratory (HRSL) in the Lower Chesapeake Bay (LCB) watershed. HRSL is a member of the PhenoCam network, which has as its mission to serve as a long-term, continental-scale, phenological observatory. Imagery is uploaded to the PhenoCam server every 30 minutes.
Growth and Yield Data for the Bushland, Texas, Sorghum Datasets
This dataset consists of growth and yield data for sorghum [*Sorghum bicolor* (L.)] grown for grain at the USDA-ARS Conservation and Production Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU), Bushland, Texas (Lat. 35.186714°, Long. -102.094189°, elevation 1170 m above MSL) in 1988, 1991, 1993, 1997, 1998, 1999, 2003 through 2007, 2014, and 2015 (13 years). In 2006 and 2007, sorghum was also grown for forage. Sorghum was grown on from one to four large, precision weighing lysimeters, each in the center of a 4.44 ha square field, and in those surrounding fields. Water management treatments ranged from irrigation replenishing crop water use fully every week (full) to deficit irrigations ranging down to 1/3 of full, and to dryland cropping without irrigation. Irrigation application methods included sprinkler and subsurface drip irrigation. The entire datasets for individual season years consist of soil water content, weather, crop growth and yield, agronomic calendar, water balance (evapotranspiration, precipitation, dew/frost, irrigation), and lysimeter energy and water balance data. This dataset focuses on the sorghum growth and yield data.
UAS imagery protocols to map vegetation are transferable between dryland sites across an elevational gradient
sRGB and multispectral images from 3 sagebrush field sites along an elevational gradient at Reynolds Creek Experimental Watershed measured in the summer of 2019. One sRGB and one multispectral survey were flown at each site.
Data from: UAS imagery protocols to map vegetation are transferable between dryland sites across an elevational gradient
This dataset consists of point frame data from three 1 ha sites along an elevation and precipitation gradient within Reynolds Creek Experimental Watershed collected between late May and mid July, 2019.
Farm Service Agency Online Data Resources
As directed by the OPEN (Open, Public, Electronic, and Necessary) Government Data Act and through its commitment to United States agriculturalists and interested public, FSA provides numerous data resources through reports, visualizations, and other formats. Visit the FSA Online Data Resources page to view
the table that provides links to pages with USDA Farm Services Agency (FSA) data. Use the search feature for FSA data resources by category or program.