At the beginning of November, Me and my colleague Honza attended the Space Application Hackathon where our team managed to win the earth observation category. Specifically, we worked out two use cases – classification of agricultural land use and crop yield prediction. Here is our write up from the event.
Current landscape of IoT (internet of things), low-cost GNSS (satellite navigation system) receivers, and omnipresent wireless networks produce large amounts of data containing geospatial information. This blogpost introduces the basics of the geolocated k-nearest neighbors (k-NN) model and its applications in product campaign targeting.