The Bronson Files, Dataset 2, Field 17, 2013

Dr. Kevin Bronson provides this unique nitrogen and water management in cotton agricultural research dataset for compute, including notation of field events and operations, an intermediate analysis mega-table of correlated and calculated parameters, and 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 sensor recorded logger outputs. This data was collected during the beginning time period of our USDA Maricopa terrestrial proximal high-throughput plant phenotyping tri-metric method generation, where a 5Hz crop canopy height, temperature and spectral signature are recorded coincident to indicate a plant health status. In this early development period, our Proximal Sensing Cart Mark1 (PSCM1) platform supplants people carrying the CropCircle (CC) sensors, and with an improved view mechanical performance result. 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 such as thermal 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 2013 season at Maricopa Agricultural Center, Arizona, USA. High throughput proximal plant phenotyping via electronic sampling and data processing method approach is exampled. Acquired data using USDA Maricopa first mobile platforms, such as the Proximal Sensing Cart Mark 1, where the first dual sliding arm configuration was deployed and platform clearance raised successfully as design improvements. SAS and GIS compute processing output tables, including Excel formatted examples are presented, where intermediate data tabulation and analysis is available. The weekly proximal sensing data collected include canopy reflectance at six wavelengths, ultrasonic distance sensing of canopy height, and infrared thermometry. Lint and seed yields, first open boll biomass, and nitrogen uptake were 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 20 or more weeks in the season with 1-L vented chambers (samples taken at 0, 12, and 24 minutes). Nitrous oxide was determined by gas chromatography (electron detection detector).

Data and Resources

Field	Value
accessLevel	public
bureauCode	{005:18}
catalog_@context	https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_conformsTo	https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy	https://project-open-data.cio.gov/v1.1/schema/catalog.json
identifier	10.15482/USDA.ADC/1523088
license	https://www.usa.gov/publicdomain/label/1.0/
modified	2024-02-16
old-spatial	{"type": "Polygon", "coordinates": [[[-111.97890043259, 33.080087064259], [-111.97890043259, 33.082424376658], [-111.97701215744, 33.082424376658], [-111.97701215744, 33.080087064259], [-111.97890043259, 33.080087064259]]]}
programCode	{005:040}
publisher	Agricultural Research Service
resource-type	Dataset
source_datajson_identifier	true
source_hash	4c607a209ebbdc16159e944a0e2ea5b37a23a40d3ee82a6aa517a5bea9e63572
source_schema_version	1.1
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	2013-02-15/2013-11-15
Groups	AmeriGEOSS National Provider North America
Tags	AmeriGEO AmeriGEOSS CKAN GEO GEOSS National North America United States agroecosystems-environment-weather-and-climate ars data-gov earth-science-agriculture-soils-nitrogen earth-science-biosphere-vegetation-plant-phenology field-based-high-throughput-phenotyping np211 plant-phenotyping
isopen	False
license_id	us-pd
license_title	us-pd
maintainer	Conley, Matthew
maintainer_email	matthew.conley@usda.gov
metadata_created	2025-09-23T15:51:00.857397
metadata_modified	2025-09-23T15:51:00.857405
notes	<p>Dr. Kevin Bronson provides this unique nitrogen and water management in cotton agricultural research dataset for compute, including notation of field events and operations, an intermediate analysis mega-table of correlated and calculated parameters, and 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 sensor recorded logger outputs. </p> <p>This data was collected during the beginning time period of our USDA Maricopa terrestrial proximal high-throughput plant phenotyping tri-metric method generation, where a 5Hz crop canopy height, temperature and spectral signature are recorded coincident to indicate a plant health status. In this early development period, our Proximal Sensing Cart Mark1 (PSCM1) platform supplants people carrying the CropCircle (CC) sensors, and with an improved view mechanical performance result.</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 such as thermal 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 2013 season at Maricopa Agricultural Center, Arizona, USA. High throughput proximal plant phenotyping via electronic sampling and data processing method approach is exampled. Acquired data using USDA Maricopa first mobile platforms, such as the Proximal Sensing Cart Mark 1, where the first dual sliding arm configuration was deployed and platform clearance raised successfully as design improvements. SAS and GIS compute processing output tables, including Excel formatted examples are presented, where intermediate data tabulation and analysis is available. The weekly proximal sensing data collected include canopy reflectance at six wavelengths, ultrasonic distance sensing of canopy height, and infrared thermometry. Lint and seed yields, first open boll biomass, and nitrogen uptake were 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 20 or more weeks in the season with 1-L vented chambers (samples taken at 0, 12, and 24 minutes). Nitrous oxide was determined by gas chromatography (electron detection detector).</p>
num_resources	42
num_tags	16
title	The Bronson Files, Dataset 2, Field 17, 2013