The two main limitations of this type of satellite imagery are low resolution and dependence on cloudy weather. To resolve the first issue, we use modern methods of machine learning. To address the second one, we analyze images over a long period of time. We also use data from the Sentinel-1 radar satellite; its quality is not reliant on cloudy weather.
Satellite data can be used in a variety of ways in precision agriculture. We analyze images over several years to locate fields around the world, determine their boundaries, and define crops and the stages of their development. Also, satellite imagery allows you to monitor field status in real time. Our free OneSoil Scouting app
is based on this principle.