Abstract: Computer-implemented method for generating control data configured to be used or usable in an agricultural equipment for treating a field, comprising the following steps: (S10) providing crop data; (S20) providing field data; (S30)—optionally—providing historic treatment data; (S40)—optionally—providing environmental data; (S50) at least based on the crop data and on the field data, initiating and/or performing data processing in at least one database and/or database system, (S60) determining the nutrient-specific risk based on the result of the data processing, (S70) providing and/or determining the nutrient-specific threshold, (S80) determining, based on the nutri-ent-specific risk and the nutrient-specific threshold and based on the data processing in at least one treatment-related database, at least two treatment schedules capable of targeting the at least one nutrient, (S90) ranking the at least two treatment schedules, based on one or more of the specific statistics (Q1) to (Q28), (S100) outputting the

Abstract: Computer-implemented method for generating control data configured to be used or usable in an agricultural equipment for treating a field, comprising the following steps: (S10) providing crop data, wherein the crop data comprise information about an agricultural crop species providing crop data grown or sown or planned to be grown or sown in a field; (S20) providing field data, wherein the field data comprise information about the field; (S30)—optionally—providing historic treatment data, (S40)—optionally—providing environmental data, (S50) at least based on the crop data and on the field data, initiating and/or performing data processing in at least one database and/or database system, (S60) determining the organism-specific risk based on the result of the data processing, (S70) providing and/or determining the organism-specific threshold, (S80) determining, based on the organism-specific risk and the organism-specific threshold and based on the data processing in at least one treatment-related database, at

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: Method for generating an application map (20) for treating a field with an agricultural equipment comprising the following steps: providing (S10) a field map (10) of a field to be treated; determining (S20) areas in the field map (10) with a weed and/or pest infestation by using an image classification algorithm; and generating (S30) an application map (20) specifying areas for treating the field with an agricultural equipment, wherein the application map (20) is based on the determined areas infested by weed and/or pest infestation; wherein the method further comprises the step of providing boundary data with respect to the field.

Abstract: Method for determining and providing an application scheme for pesticides, comprising the following steps: providing agricultural crop data (S10) comprising information about an agricultural crop species sown or planned to sow in a field; providing application time data (S20) comprising information about at least one planned application time of applying pesticides in the field; providing weed and/or pathogen specifier data (S30) comprising information about at least one weed or pathogen specifier present or expected in the field; performing a database search in a pesticide product database (S50) at least based on the provided agricultural crop data, the provided application time data, the provided weed and/or pathogen specifier data and determining the pesticide products matching the agricultural crop and the application time and one of the weed or pathogen specifiers, wherein the pesticide product database comprises information about a plurality of pesticide products, and wherein the information about the pe

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 application of crop protection agents with regard to side effects. The present invention provides a method, a device, a computer program product and a system that allow identification of favorable and/or unfavorable periods of time for the application of a crop protection product.