Use Case

Early classification of crop types

Agriculture & Forestry

Crop Classification is a highly relevant topic in agriculture for farmers, authorities and companies selling to farmers alike.

1

Process

Data on the area of grown crops is not available during the grow season. Data is polled from farmers in the beginning of the year and aggregated on a district level.

2

Algorithm

Computer Vision algorithms can detect crop types based on phenological criteria in an optical sphere at a later stage. However, analyzing radar data and training the algorithm with historical data increases the accuracy of classification significantly.

3

Decision

Based on the information generated with accurate and timely crop classification, harvest forecasts can be improved significantly, fertilization recommendations can be provided to farmers and on-the-spot controls of EU subsidies can be disposed.