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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).

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FieldValue
Tags
EARTH SCIENCE > BIOSPHERE > VEGETATION > PLANT PHENOLOGY
EARTH SCIENCE > AGRICULTURE > SOILS > NITROGEN
Field-based high-throughput phenotyping
plant phenotyping
Agroecosystems & Environment Weather and Climate
NP211
Modified
2023-06-16
Release Date
2021-09-03
Identifier
72a69705-3232-4995-bc95-851179188682
Spatial / Geographical Coverage Area
POLYGON ((-111.97890043259 33.080087064259, -111.97890043259 33.082424376658, -111.97701215744 33.082424376658, -111.97701215744 33.080087064259))
Publisher
Ag Data Commons
Spatial / Geographical Coverage Location
Maricopa Agricultural Center farm field seventeen
Temporal Coverage
February 15, 2013 to November 15, 2013
License
U.S. Public Domain
Data Dictionary

https://data.nal.usda.gov/dataset/bronson-files-dataset-2-field-17-2013/...
Contact Name
Conley, Matthew
Contact Email
matthew.conley@usda.gov
Public Access Level
Public
Program Code
005:040 - Department of Agriculture - National Research
Bureau Code
005:18 - Agricultural Research Service
Extended Metadata: 
FieldValue
Authors
Bronson, Kevin (ORCID)
Conley, Matthew M. (ORCID)
Peer Reviewed
Yes
Intended Use
Research Science - Compute simulation modeling creation or validation. Spatial high frequency sampling and agronomic data numerical analysis. Support agricultural research in phenotyping of plants generally. Example nitrogen management and / or irrigation management of cotton for decision support or experimental parameterization. Example proximal plant phenotyping data. Provide statistical modeling opportunity understanding high resolution proximal terrestrial datasets. Support best practice production of cotton fiber in a climate uncertain future environment. Support remote sensing ground truth with gridded numerical data integrations. Support establishment of successful high-throughput proximal plant sensing methodologies conducted in the field environment.
Use Limitations
Research grade data numerical public usages, including the high frequency active optical reflectance and agronomic operations conducted around soil fertility and cotton production, note that these specific experimental results may not be representative of other plant species or geographic locations.
Equipment or Software Used
Trimble precision geolocation
Holland Scientific active optical sensing and data recording
Campbell Scientific data recording and support
LoggerNet software application
Garmin universal time logger support
Apogee Instruments thermometry
Type-T Thermocouple wire
Honeywell ultrasonic displacement sensor
The Proximal Sensing Cart Mark 1
SAS (Statistical Analysis System) software
ArcGIS cartographic analysis software
Funding Sources
Agricultural Research Service
101-2020-515 008
Agricultural Research Service
2020-13660-008-00D
Primary Article

Bronson, K. F., Hunsaker, D. J., Mon, J., Andrade-Sanchez, P., White, J. W., Conley, M. M., Thorp, K. R., Bautista, E., & Barnes, E. M. (2017). Improving Nitrogen Fertilizer Use Efficiency in Surface- and Overhead Sprinkler-Irrigated Cotton in the Desert Southwest. Soil Science Society of America Journal, 81(6), 1401-1412. https://doi.org/10.2136/sssaj2017.07.0225

AgID: 6680329
Related Articles

Bronson, K. F., Hunsaker, D. J., Williams, C. F., Thorp, K. R., Rockholt, S. M., Del Grosso, S. J., Venterea, R. T., & Barnes, E. M. (2018). Nitrogen Management Affects Nitrous Oxide Emissions under Varying Cotton Irrigation Systems in the Desert Southwest, USA. Journal of Environmental Quality, 47(1), 70-78. https://doi.org/10.2134/jeq2017.10.0389

Bronson, K. F. (2021). Optimal internal nitrogen use efficiency for irrigated cotton in the southwestern United States. Agronomy Journal, 113(3), 2821-2831. https://doi.org/10.1002/agj2.20674

White, J. W., & Conley, M. M. (2013). A Flexible, Low-Cost Cart for Proximal Sensing. Crop Science, 53(4), 1646-1649. https://doi.org/10.2135/cropsci2013.01.0054

White, J. W., Andrade-Sanchez, P., Gore, M. A., Bronson, K. F., Coffelt, T. A., Conley, M. M., Feldmann, K. A., French, A. N., Heun, J. T., Hunsaker, D. J., Jenks, M. A., Kimball, B. A., Roth, R. L., Strand, R. J., Thorp, K. R., Wall, G. W., & Wang, G. (2012). Field-based phenomics for plant genetics research. Field Crops Research, 133, 101-112. https://doi.org/10.1016/j.fcr.2012.04.003
Dataset DOI (digital object identifier)
10.15482/USDA.ADC/1523088
Product Type
Dataset
FieldValue
OSTI Identifier
ISO Topic(s)
climatologyMeteorologyAtmosphere
environment
farming
geoscientificInformation
State or Territory
Arizona
National Agricultural Library Thesaurus Term
phenotype
canopy height
color
plant health
health status
reflectance
global positioning systems
nitrogen fertilizers
soil
ultrasonics
canopy
vegetation
phenology
agroecosystems
nitrogen
Plant Science and Plant Products
vegetation index
simulation models
agricultural research
irrigation management
statistical models
data collection
lint cotton
climate
remote sensing
soil fertility
normalized difference vegetation index
leaf area index
leaf reflectance
Ag Data Commons Keywords
  • Agroecosystems & Environment
  • Management
  • Agroecosystems & Environment
  • Water
  • Agroecosystems & Environment
  • Plant and animal
  • Agroecosystems & Environment
  • Plants & Crops
  • Crop production
  • Nutrient Management
  • Plants & Crops
  • Crop production
  • Plants & Crops
  • Agricultural Products
  • Plants
  • Fiber
  • Cotton
  • Agricultural Products
  • Plants
  • Fiber
  • Agricultural Products
  • Plants
  • Agricultural Products
  • Agroecosystems & Environment
  • Geography
  • Agroecosystems & Environment
  • Weather and Climate

Suggested Citations:

(original article) Bronson, K. F., Hunsaker, D. J., Mon, J., Andrade-Sanchez, P., White, J. W., Conley, M. M., Thorp, K. R., Bautista, E., & Barnes, E. M. (2017). Improving Nitrogen Fertilizer Use Efficiency in Surface- and Overhead Sprinkler-Irrigated Cotton in the Desert Southwest. Soil Science Society of America Journal, 81(6), 1401-1412. https://doi.org/10.2136/sssaj2017.07.0225

(dataset) Bronson, Kevin; Conley, Matthew M. (2021). The Bronson Files, Dataset 2, Field 17, 2013. Ag Data Commons. https://doi.org/10.15482/USDA.ADC/1523088. Accessed 2023-09-27.