Abstract: The present invention relates to the autonomous application of crop protection products by means of a drone. The present invention relates to a process and to an unmanned aerial vehicle for applying crop protection product taking into consideration drift phenomena. The present invention furthermore relates to a computer program product which can be employed for controlling the process according to the invention.

Abstract: A method performed by at least one apparatus is inter alia disclosed, said method comprising: obtaining weather model data indicative of location-specific weather information for a first set of locations (26) on a first grid (28); obtaining an area of interest (30) associated to at least one user (32); obtaining and/or determining a second set of locations (34) based on a second grid (36) within said area of interest (30); obtaining measurement data on location-specific weather information of a measurement device associated to said at least one user located at a measurement location (38) within and/or proximate to said area of interest (30); and determining, based on at least said obtained weather model data and said obtained measurement data, location-specific weather information for said second set of locations (34) based on said second grid (36).

Abstract: The present invention relates to the autonomous application of crop protection products by means of a drone. The present invention relates to a process and to an unmanned aerial vehicle for applying crop protection product taking into consideration drift phenomena. The present invention furthermore relates to a computer program product which can be employed for controlling the process according to the invention.

Abstract: The present invention relates to the autonomous application of crop protection products by means of a drone. The present invention relates to a process and to an unmanned aerial vehicle for applying crop protection product taking into consideration drift phenomena. The present invention furthermore relates to a computer program product which can be employed for controlling the process according to the invention.

Abstract: A method performed by at least one apparatus is inter alia disclosed, said method comprising: obtaining weather model data indicative of location-specific weather information for a first set of locations (26) on a first grid (28); obtaining an area of interest (30) associated to at least one user (32); obtaining and/or determining a second set of locations (34) based on a second grid (36) within said area of interest (30); obtaining measurement data on location-specific weather information of a measurement device associated to said at least one user located at a measurement location (38) within and/or proximate to said area of interest (30); and determining, based on at least said obtained weather model data and said obtained measurement data, location-specific weather information for said second set of locations (34) based on said second grid (36).

Abstract: The invention relates to training a machine learning algorithm and predicting a value for a weather data variable, preferably at a field or sub-field level.

Abstract: The present invention relates to the technical field of the growing of crop plants, especially the creation of forecasts of the expected yield.

Abstract: The present invention relates to the technical field of the growing of crop plants, especially the creation of forecasts of the expected yield.

Abstract: The present invention relates to the autonomous application of crop protection products by means of a drone. The present invention relates to a process and to an unmanned aerial vehicle for applying crop protection product taking into consideration drift phenomena. The present invention furthermore relates to a computer program product which can be employed for controlling the process according to the invention.