The Bronson Files, Dataset 9, Field 113, 2017 Cotton

Published by Agricultural Research Service | Department of Agriculture | Metadata Last Checked: January 27, 2026 | Last Modified: 2025-11-21

Dr. Kevin Bronson provides a dataset representing the second of three consecutive years of cotton and nitrogen management experimentation in Field 113. Included is an intermediate analysis mega-table of correlated and calculated parameters, laboratory analysis results generated during the experimentation, plus high-resolution plot level intermediate data analysis tables of SAS process output, as well as the complete raw data sensor recorded logger outputs. See included README file for operational details and further description of the measured data signals. Summary - Active optical proximal cotton canopy sensing spatial data and including additional related metrics are presented. Agronomic nitrogen and irrigation management related field operations are listed. Unique research experimentation intermediate analysis table is made available, along with raw data. The raw data recordings, and annotated table outputs with calculated VIs are made available. Plot polygon coordinate designations allow a re-intersection spatial analysis. Data was collected in the 2017 cotton season at Maricopa Agricultural Center, Arizona, USA. High throughput proximal plant phenotyping via electronic sampling and data processing method approach is exampled using a modified high-clearance Hamby spray-rig. Acquired data conforms to location standard methodologies of high-throughput plant phenotyping. The weekly proximal sensing data collected include the primary canopy reflectance at six wavelengths. Lint and seed yields, first open boll biomass, and nitrogen uptake was also determined. Soil profile nitrate to 1.8 m depth was determined in 30-cm increments, before planting and after harvest. Nitrous oxide emissions were determined with 1-L vented chambers (samples taken at 0, 12, and 24 minutes). Nitrous oxide was determined by gas chromatography (electron detection detector).

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@type	dcat:Dataset
accessLevel	public
bureauCode	[ "005:18" ]
contactPoint	{ "fn": "Conley, Matthew", "hasEmail": "mailto:matthew.conley@usda.gov" }
description	<p>Dr. Kevin Bronson provides a dataset representing the second of three consecutive years of cotton and nitrogen management experimentation in Field 113. Included is an intermediate analysis mega-table of correlated and calculated parameters, laboratory analysis results generated during the experimentation, plus high-resolution plot level intermediate data analysis tables of SAS process output, as well as the complete raw data sensor recorded logger outputs.</p> <p>See included README file for operational details and further description of the measured data signals.</p> <p>Summary - Active optical proximal cotton canopy sensing spatial data and including additional related metrics are presented. Agronomic nitrogen and irrigation management related field operations are listed. Unique research experimentation intermediate analysis table is made available, along with raw data. The raw data recordings, and annotated table outputs with calculated VIs are made available. Plot polygon coordinate designations allow a re-intersection spatial analysis. Data was collected in the 2017 cotton season at Maricopa Agricultural Center, Arizona, USA. High throughput proximal plant phenotyping via electronic sampling and data processing method approach is exampled using a modified high-clearance Hamby spray-rig. Acquired data conforms to location standard methodologies of high-throughput plant phenotyping. The weekly proximal sensing data collected include the primary canopy reflectance at six wavelengths. Lint and seed yields, first open boll biomass, and nitrogen uptake was also determined. Soil profile nitrate to 1.8 m depth was determined in 30-cm increments, before planting and after harvest. Nitrous oxide emissions were determined with 1-L vented chambers (samples taken at 0, 12, and 24 minutes). Nitrous oxide was determined by gas chromatography (electron detection detector).</p>
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identifier	10.15482/USDA.ADC/1526358
keyword	[ "ARS", "Agroecosystems & Environment Weather and Climate", "EARTH SCIENCE > AGRICULTURE > SOILS > NITROGEN", "EARTH SCIENCE > BIOSPHERE > VEGETATION > PLANT PHENOLOGY", "Field-based high-throughput phenotyping", "NP211", "data.gov", "plant phenotyping" ]
license	https://www.usa.gov/publicdomain/label/1.0/
modified	2025-11-21
programCode	[ "005:040" ]
publisher	{ "name": "Agricultural Research Service", "@type": "org:Organization" }
spatial	"{"type": "Polygon", "coordinates": [[[-111.97890043259, 33.080087064259], [-111.97890043259, 33.082424376658], [-111.97701215744, 33.082424376658], [-111.97701215744, 33.080087064259], [-111.97890043259, 33.080087064259]]]}"
temporal	2017-03-13/2017-12-13
title	The Bronson Files, Dataset 9, Field 113, 2017 Cotton