Location: Plant Physiology and Genetics ResearchTitle: High-throughput phenotyping data from a proximal sensing cart
Submitted to: Ag Data Commons
Publication Type: Database / Dataset
Publication Acceptance Date: 1/28/2021
Publication Date: 1/28/2021
Citation: Thompson, A.L., Conley, M.M., Roybal, M.D. 2021. High-throughput phenotyping data from a proximal sensing cart. Ag Data Commons. https://doi.org/10.15482/USDA.ADC/1520740.
Interpretive Summary: This data set provides the raw, unprocessed data from a proximal sensing cart to be used as a learning tool for geospatial data processing. The expected outcome of this data is to teach students and collaborators about geospatial processing and provide a real dataset by which to develop and validate geospatial processing pipelines.
Technical Abstract: This data was collected using a proximal sensing cart on an upland cotton population grown in Maricopa Arizona in 2018. The data contains spectral reflectance from Crop Circle ACS-470 sensors, canopy height from Pepperl+Fuchs UC2000 ultrasonic transducers, and canopy temperature from Apogee SI-131 infrared thermometers. Cart position was recorded by an A101 Hemisphere GNSS receiver, and heading was recorded by a VectorNav VN-100 inertial measurement unit. All data can be matched by the timestamp provided by the Campbell Scientific CR-3000 data logger. Data was collected at a rate of 5Hz with analog signals recorded as 0-5V potentials.