Compress · Agriculture
Crop imagery, farm sensors, livestock and machinery data.
Modern farms run on imagery, sensors and machine data, collected far from fast networks. Compress shrinks it on the farm and in the cloud, so more gets through rural links and whole seasons stay on hand to compare.
What it compresses.
The data agriculture teams bring to Compress most.
- Multispectral satellite and drone imagery
- Soil, water and weather sensors
- Collar, tag and camera data
- Yield and as-applied logs
Use cases
Compress in agriculture.
Features used
The parts of Compress that do the work.
Neural codecs
Codecs trained on your kind of data.
Learn moreError bounds
Set the error per variable; we guarantee it.
Learn moreScientific formats
NetCDF, GRIB, Zarr, GeoTIFF and more.
Learn moreEdge & streaming
Compress at the sensor, before the link.
Learn moreSDK & CLI
One line in Python, a command in the shell.
Learn moreIndustries
Other industries.
We’ll cover
- Compress run on a sample of your data
- Size, speed and error compared with what you use now
- Fitting it into your pipeline
- Deployment: cloud, on-premises or edge