Precision Agriculture Computational Utilities
Reproject a sf object to UTM coordinates
Adjust the effective area of each observation based on vehicular polyg...
Impose a regular grid over yield polygons
Browse satellite products from the Copernicus Data Space Ecosystem
Predict cardinal dates from satellite image data
Check the yield data before processing with the pa_yield function
Compute vegetation indices from a zipped Sentinel 2 file
Download satellite products from the Copernicus Data Space Ecosystem
Retrieve an RGB image from a zipped Sentinel 2 file
Request vegetation index statistics from the Data Space Statistics API
Register the Data Space credentials to the R environment
Register the Oauth2.0 credentials to the R environment
Make vehicular polygons for yield monitor observations
Create a plot from a pacu object
Print a pacu object
Produce result summaries of the various pacu objects
Downloads a met file using the apsimx package
Create an interpolated yield object from raw data
Setting some options for the package
Environment which stores PACU options
Support for a variety of commonly used precision agriculture operations. Includes functions to download and process raw satellite images from Sentinel-2 <https://documentation.dataspace.copernicus.eu/APIs/OData.html>. Includes functions that download vegetation index statistics for a given period of time, without the need to download the raw images <https://documentation.dataspace.copernicus.eu/APIs/SentinelHub/Statistical.html>. There are also functions to download and visualize weather data in a historical context. Lastly, the package also contains functions to process yield monitor data. These functions can build polygons around recorded data points, evaluate the overlap between polygons, clean yield data, and smooth yield maps.