1. Step0. Plan HTP Experiment
Verify scope of work, consult with HTP group
Develop field design and polygon shp files
Step1. Collect HTP Data
Avenger prep, meta notes and data collection
Download raw data from data logger
Data storage and backup
Step3. Quality Control, geospatial
Overlay csv file with plot polygons (QC1)
Output csv file trimmed data for analysis
Step2. Custom Processing Pipeline
Merge sensor, IMU, GPS data, calculate UTM coordinates
Output csv file georeferenced sensor points
Pipeline becomes dependent on experimental design and questions being asked in the experiment
Step4. Quality Control, statistical
Import and merge GIS and fieldbook files
Identify and remove outliers (QC2)
Output graphs and outlier removed data
Step5. Custom Statistical Analysis
Calculate sensor and plot means
Generate growth curves
Cultivar comparison
Multi-trait correlations

2. Data files and photos moved to HTP Server
Tractor captures data
Data files and photos moved to HTP Server
Data from files is loaded into Database using web tool. Original files remain intact
SQL Server Database
Full – Last Saturday of 6:10 AM
Weekly – 6:00 PM
HTP Server backup up to tape (Weekly)
IT (Automated)
Database is backed up to HTP Server. BAK file.
IT (Automated)
Full DB – Friday 11:00 PM
Daily Diff – Mon-Thurs 11:00 PM
Trans Log – Daily/Hourly/7:00-5:00 AM