Dr. Kevin Bronson provides this unique nitrogen and water management in wheat agricultural research dataset for compute. Ten irrigation treatments from a linear sprinkler were combined with nitrogen treatments. This dataset includes notation of field events and operations, an intermediate analysis mega-table of correlated and calculated parameters, including laboratory analysis results generated during the experimentation, plus high resolution plot level intermediate data tables of SAS process output, as well as the complete raw sensors records and logger outputs.
\nThis 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.
\nSee included README file for operational details and further description of the measured data signals.
\nSummary:\nActive optical proximal wheat canopy sensing spatial data and including additional related metrics such as thermal are presented.\nAgronomic nitrogen and irrigation management related field operations are listed.\nUnique research experimentation intermediate analysis table is made available, along with raw data.\nThe raw data recordings, and annotated table outputs with calculated VIs are made available.\nPlot polygon coordinate designations allow a re-intersection spatial analysis.\nData was collected in the 2013 season at Maricopa Agricultural Center, Arizona, USA.\nHigh throughput proximal plant phenotyping via electronic sampling and data processing method approach is exampled.\nAcquired data using USDA Maricopa first mobile platforms, such as the Proximal Sensing Cart Mark 1, where the first cluster sensor bracket design and rickshaw inspired operator's handle were successfully employed.\nSAS and GIS compute processing output tables, including Excel formatted examples are presented, where intermediate data tabulation and analysis is available.\nThe weekly proximal sensing data collected include canopy reflectance at six wavelengths, ultrasonic distance sensing of canopy height, and infrared thermometry.
\nTen levels gradient irrigation application from linear move sprinkler system were applied.\nSoil physical texture and fertility chemistry results are available.\nYield and seed information is presented.