Lead Participant: Mfatech Limited


FROST_STIC will combine Earth Observation from satellites, with data from ground based sensors. High

accuracy space data is expensive, therefore our concept is to use low cost or free space data and improve its

accuracy by using sensors on the ground. The enhanced accuracy maps will be presented to farmers using a

web based map presentation tool. Machine learning will added, so that the system will remember how crops

grew in previous years, and that can be used to predict the optimum time to fertilise and harvest the crops in

the future.

Lead Participant

Project Cost

Grant Offer



Mfatech Limited, NEWBURY


10 25 50