Abstract: A method for correcting remote sensor data of an agricultural field, comprising: receiving remote sensor data (DR) for the agricultural field from a remote sensor, wherein the remote sensor data (DR) comprises at least one remote measurement value corresponding to at least one location; receiving local sensor data (DL) for the agricultural field from at least one local sensor, wherein the at least one local sensor data (DL) comprises at least one local measurement value corresponding to at least one location of the at least one local sensor and corresponding to at least one point in time of obtaining the local measurement value correlating to the remote measurement value; determining a correction model based on the previously received local sensor data (DL) and the remote sensor data (DR); and determining corrected current remote sensor data (DRP, DRPR) by applying the correction model to current remote sensor data.

Abstract: A method for correcting remote sensor data of an agricultural field, the method comprising the following steps: receiving remote sensor data (DR) for the agricultural field from a remote sensor, wherein the remote sensor data (DR) comprises at least one remote measurement value corresponding to at least one location that is measured by the remote sensor at at least one point in time of obtaining the remote measurement value; receiving local sensor data (DL) for the agricultural field from at least one local sensor, wherein the at least one local sensor data (DL) comprises at least one local measurement value corresponding to at least one location of the at least one local sensor and corresponding to at least one point in time of obtaining the local measurement value correlating to the location and point of time of obtaining the remote measurement value; determining a correction model based on the previously received local sensor data (DL) and the previously received remote sensor data (DR); and determining co