The Bronson Files, Dataset 10, Field 113, 2018 Cotton
Dr. Kevin Bronson provides a dataset representing the third of three consecutive years of cotton and nitrogen management experimentation in Field 113 of the Maricopa Agricultural Center, Arizona USA. 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 2018 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).
Funding
USDA-ARS: 101-2020-515 008
USDA-ARS: 2020-13660-008-00D
History
Data contact name
Conley, MatthewData contact email
matthew.conley@usda.govPublisher
Ag Data CommonsIntended 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.Temporal Extent Start Date
2017-12-12Temporal Extent End Date
2018-11-27Theme
- Not specified
Geographic Coverage
{"type":"FeatureCollection","features":[{"geometry":{"type":"Polygon","coordinates":[[[-111.97890043259,33.080087064259],[-111.97890043259,33.082424376658],[-111.97701215744,33.082424376658],[-111.97701215744,33.080087064259],[-111.97890043259,33.080087064259]]]},"type":"Feature","properties":{}}]}Geographic location - description
Maricopa Agricultural Center farm Field 113ISO Topic Category
- climatologyMeteorologyAtmosphere
- environment
- farming
- geoscientificInformation
National Agricultural Library Thesaurus terms
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; isotope labelingOMB Bureau Code
- 005:18 - Agricultural Research Service
OMB Program Code
- 005:040 - National Research
ARS National Program Number
- 211
Primary article PubAg Handle
Pending citation
- No
Public Access Level
- Public