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 for generating a control file to operate a treatment device (10) on an agricultural area (11) to be treated, the method comprising the steps of: providing (40) treatment data signifying a type of treatment to be conducted by the treatment device and crop data relating to a crop present on the agricultural area (11) to be treated to a preparation system (13); determining (42), by the preparation system (13), from the treatment data and the crop data at least one operation parameter, wherein the determined operation parameter is related to a real-time and/or location-specific condition to be monitored during treatment; generating (44), by the preparation system (13), a control file comprising the at least one operation parameter, the generated control file usable to operate the treatment device (10) based on the real-time and/or location-specific condition to be monitored during treatment.

Abstract: The present invention relates to the planning and implementation of agricultural measures using remote sensing data and local field data. Using remote sensors, the total required amount and partial-area-specific required amounts of plant protection agents and/or nutrients and/or seeds and/or the like can be determined, and based on this information, the use of an application device can be planned. Using local field sensors, the current local required amounts in the field are determined so that the application device can apply the corresponding amounts as required.

Abstract: A computer-implemented method for determining at least one of the treatment parameters selected from the group consisting of: a) at least one time window for a treatment in an agricultural field, b) at least one method for a treatment in an agricultural field, c) at least one product for a treatment in an agricultural field, d) at least one dose rate for a treatment in an agricultural field, and e) at least one application map for conducting a zone-specific treatment in an agricultural field, comprising the following steps: (step 1) providing genetic information of at least one organism which existed or is existing or is expected to exist in the agricultural field, (step 2) at least based on the genetic information of the at least one organism, initiating and/or performing data processing in at least one database and/or data-base system containing (i) genetic information data and (ii) data related to the at least one treatment parameter, (step 3) outputting the at least one treatment parameter based on the re

Abstract: The present invention relates to a method for forecasting of a parameter value of a cultivation area, the method comprising: generating (S1), by an ensemble modelling structure, at least one first-model output parameter related to the cultivation area using ensemble modelling based on at least one first-model input parameter; generating (S2), by an machine learning structure, at least one second-model output parameter related to the cultivation area using machine learning based on at least one second-model input parameter; and merging (S3), by a model merging structure, the at least one first-model output parameter and the at least one first-model output parameter to calculate the parameter value of the cultivation area.

Abstract: The present application relates to the cultivation of crop plants using plant protection agents. Certain embodiments relate to methods, a system, and a computer program product for determining partial-area-specific requirements of a crop plant for plant protection agents.

Abstract: The present invention relates to the planning and implementation of agricultural measures using remote sensing data and local field data. Using remote sensors, the total required amount and partial-area-specific required amounts of plant protection agents and/or nutrients and/or seeds and/or the like can be determined, and based on this information, the use of an application device can be planned. Using local field sensors, the current local required amounts in the field are determined so that the application device can apply the corresponding amounts as required.

Abstract: Computer implemented method for providing test design and test instruction data for comparative tests for yield and/or gross margin, efficacy and/or effects on certain vegetation indices on a field for one product comprising the following steps: providing field data (S10) comprising at least biomass distribution data and geographic data about the field on which the comparative tests are to be performed; providing test data (S20) comprising at least product use rate data about different constant product use rates of said product, and/or different variable product use rates of said product at a single application time or a sequence of application times of said product whose effect, e.g.

Abstract: The present invention relates to the technical field of controlling harmful organisms in the cultivation of cultivated plants. The present invention relates to a method for controlling harmful organisms, to a system for controlling harmful organisms and to the use of a digital application map for the application of one or more control agents against harmful organisms.

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 control of harmful organisms which may appear during the cultivation of crop plants. The control is effected on the basis of the prediction of subarea-specific infestation risks.

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: 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: The present invention relates to unmanned aerial vehicle for agricultural field assessment. It is described to fly (210) the unmanned aerial vehicle to a location in a field containing a crop. A body of the unmanned aerial vehicle is positioned (220) in a substantially stationary aspect above the crop at the location. A camera of the unmanned aerial vehicle is moved (230) vertically with respect to the body of the unmanned aerial vehicle between a first position and a second position, wherein the first position is closer to the body of the unmanned aerial vehicle than the second position. The camera acquires (240) at least one image relating to the crop when the camera is not in the first position.

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 application relates to the cultivation of crop plants using plant protection agents. Certain embodiments relate to methods, a system, and a computer program product for determining partial-area-specific requirements of a crop plant for plant protection agents.