Features & Benefits
Cloud Removal & Gap Fill
Our implementation of Deep Learning allows for cloud removal and gap filling to streamline the user experience and greatly reduce the risk of user frustration due to clouds, missing data and the need to re-enter field information (crop type, planting date) every season for the same field.
Intelligent Land Use Categories & Crop Types
We use Deep Learning to automate crop identification and land use categorization, including identifying fields in cultivation soon after the start of the season. Our Deep Learning algorithms take very few samples and create very high quality classification of different land covers. While Deep Learning does require many training data points, accuracies can be as high as 95%.
Deep Learning for Field Boundaries
Our use of Deep Learning to pre-digitize field boundaries addresses one of the biggest issues faced by users and providers in the ag tech space – the input of field boundaries and associated field data by the user. Simply put, users would rather not manually digitize their fields and input the field data themselves. Deep Learning allows us to provide solutions where the user only needs to provide the location of their field in the region.
