Abstract: A method is provided, comprising providing crop data (10), (S20) proving field data (20), (S30) providing organism data (30), (S40) providing agricultural inputs data (40), (S50) providing user preference data (50), (S60) based on the crop data (10), field data (20), organism data (30), and agricultural inputs data (40), determining a set of treatment schedules for treating the agricultural field, (S70) determining the crop yield and the environmental impact associated with each treatment schedule within the determined set of treatment schedules, (S80) based on the user preference data (50), determining a user preference matching indicator for each treatment schedule within the determined set of treatment schedules using a matching model, (590) selecting at least one treatment schedule based on the user preference matching indicator, (S100) based on the selected treatment schedule, outputting a control file usable for controlling an agricultural equipment which can be used to treat the agricultural field.

Abstract: A method is provided, comprising providing crop data (10), (S20) proving field data (20), (S30) providing organism data (30), (S40) providing agricultural inputs data (40), (S50) providing field potential data (50), (S60) based on the crop data (10), field data (20), organism data (30), and agricultural inputs data (40), determining a set of treatment schedules for treating the agricultural field, (S70) determining the crop yield and the environmental impact associated with each treatment schedule within the determined set of treatment schedules, (S80) based on the field potential data (50), determining a field potential matching indicator for each treatment schedule within the determined set of treatment schedules using a matching model, (S90) selecting at least one treatment schedule based on the field potential matching indicator, (S100) based on the selected treatment schedule, outputting a control file usable for controlling an agricultural equipment which can be used to treat the agricultural field.

Abstract: A computer-implemented method for generating a soil property map of an agricultural field, comprising the steps: receiving crop property distribution data of the agricultural field comprising at least one crop related parameter (S1); determining equivalent areas having a crop related parameter value within a certain range in the crop property distribution data (S2); receiving soil data with respect to at least one soil parameter for each of the determined equivalent areas (S3); generating a soil property map of the agricultural field based on the soil data and the equivalent areas (S4).

Abstract: Computer-implemented method for determining and providing an application scheme for fertilizers, 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 fertilizers in the field; providing nutrient specifier data (S30) comprising information about at least one nutrient specifier present or expected in the field; performing a database search in a fertilizer product database (S50) at least based on the provided agricultural crop data, the provided application time data, the provided nutrient specifier data and determining the fertilizer products matching the agricultural crop and the application time and one of the nutrient specifiers, wherein the fertilizer product database comprises information about a plurality of fertilizer products, and wherein the information about the fertilizer prod

Abstract: Method for pest treatment of a plantation field, controlling device for controlling a pest treatment of a plantation field and a treatment device having said controlling device, wherein the treatment considers a pest insect population and a beneficial insect population.

Abstract: The present invention relates to the technical field of precision farming. The present invention provides a method, a computer system and a computer program product with which a digital cultivation map for a field is created, said cultivation map comprising multiple zones, with at least one feature of at least one zone matched to at least one value of a machine working parameter that has been obtained from an image of the field.

Abstract: A method for generating a crop phenology prediction (7) is provided. The method comprises the steps of providing crop phenology training data (1) for a plurality of crops and a plurality of locations (17); training a machine learning system (6) using the crop phenology training data (1); providing a selection of the plurality of crops and a specific location (18); and generating a crop phenology prediction (7) for a selection of the plurality of crops at a specific location (18) using the trained machine learning system (6). Further, a system (21) for generating a crop phenology prediction (7) is provided.

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: A computer-implemented method for determining at least one of the treatment parameters selected from the group consisting of: (a) at least one rate (seeding rate) for planting at least one crop in a field or a sub-field zone, (b) at least one depth (seeding depth) for planting at least one crop in a field or a sub-field zone, and (c) at least one time window (seeding time) for planting at least one crop in a field or a sub-field zone, comprising the following steps: (step 1) receiving by the computing unit—from a database and/or from user input and/or from real-time measurements—crop data relating to the at least one crop to be planted in the field or in the sub-field zone and static field data relating to the field or the sub-field zone, (step 2) receiving by the computing unit—from a database and/or from user input and/or from real-time measurements—at least one type of additional data selected from the group consisting of: (A) yield data relating to the field or the sub-field zone, (B) weather data relatin

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 digital farming. In order to reduce residual amounts of a treatment device. There is provided a method for treatment management on an agricultural area applying a treatment product to the agricultural area via a treatment device, the method comprising the following steps: providing (40) a field identifier and optionally a treatment specifier; determining (42) a treatment map based on the field identifier and the optional treatment specifier; determining (44) a field path for applying the treatment product to the field via the treatment device based on the treatment map, wherein the field path comprises at least a first section and a second section; generating (46) a control file for the treatment device, wherein the control file includes a recording mode for the first section of the field path and a first application mode for the second section of the field path; and providing (48) the control file, which is usable for controlling the treatment device.

Abstract: A computer-implemented method for controlling an agricultural treatment device (200) in an agricultural field, the method comprising the following steps: (a) receiving by the computing unit (120) soil-related data relating to the sub-field zone (G1), wherein the soil-related data are obtained by real-time measurements using a soil sensor (110) and wherein (G1) which is located within the agricultural field, (b) receiving by the computing unit (120)—from a database (130) and/or from real-time measurements—crop-related data, field-related data, and weather-related data relating to the sub-field zone (G1), (c) determining via a computing unit (120)—based on the soil-related data, crop-related data, field-related data and optionally weather-related data—at least one indicator indicative of the crop protection demand and/or crop nutrition demand relating to the sub-field zone (G1), (d) dynamically generating via the computing unit (120), an output signal (140) dependent from the determined at least one indicator,

Abstract: Method for plantation treatment of a plantation field, the method comprising taking an image of a plantation of a plantation field; recognizing items on the taken image by running a first image recognition analysis of a first complexity on the taken image based on a stored parametrization of a machine learning algorithm; identifying an unsatisfying image analysis result; determining ambient data corresponding to the taken image; recognizing items on the taken image by miming a second image recognition analysis of a second complexity on the image based on the ambient data on an external device, wherein the second complexity is higher than the first complexity; determining an improved parametrization based on the second image recognition analysis for the machine learning algorithm for improving the first image recognition analysis; and controlling a treatment arrangement of a treatment device based on the first image recognition analysis.

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: Method for pest treatment of a plantation field, controlling device for controlling a pest treatment of a plantation field and a treatment device having said controlling device, wherein the treatment considers a pest insect population and a beneficial insect population.

Abstract: A method for plantation treatment of a plantation field, the method, comprising: receiving (S10) a parametrization (10) for controlling a treatment device (200) by the treatment device (200) from a field manager system (100), wherein the parametrization (10) is dependent on offline field data (Doff) relating to expected conditions on the plantation field (300); taking (S20) an image (20) of a plantation of a plantation field (300); recognizing (S30) objects (30) on the taken image (20); determining (S40) at least one treatment product composition (40) optionally dependent or based on the determined parametrization (10), online field data and/or the recognized objects (30); determining (S50) a control signal (S) for controlling a treatment arrangement (270) of the treatment device (200) based on the determined parametrization (10), the recognized objects (30) and the chosen treatment product composition (40).

Abstract: A method for plantation treatment of a plantation field, the method, comprising: receiving (S10) a parametrization (10) for controlling a treatment device (200) by the treatment device (200) from a field manager system (100), wherein the parametrization (10) is dependent on offline field data (Doff) relating to expected conditions on the plantation field (300); taking (S20) an image (20) of a plantation of a plantation field (300); recognizing (S30) objects (30) on the taken image (20); determining (S40) a control signal (S) for controlling a treatment arrangement (240) of the treatment device (200) based on the determined parametrization (10) and the recognized objects (30).

Abstract: A method (100) for recognizing weed in a natural environment may be provided. A digital image of weed in an early development stage is captured (102) among cultivated crop. Areas with a predefined color and texture specification are contoured (104) defining a boundary contour. The weed is displayed (106) together with a frame and a quality indicator. Moreover, the digital image is stored (110) only if a predefined quality criterion is met. Then, unnecessary color information may be reset (112), the digital image is sent (116) for a further examination, and a weed name of the weed of the captured image and a related probability value indicative of a probability of a match between the weed name and the weed of the captured digital image together image is received (118).

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.

Abstract: A method for identifying of a type of weed in a natural environment may be provided. The method comprises receiving a digital image of the weed in an early growth stage together with related metadata, contouring areas of leaves and determining whether the weed is a monocotyledon or a dicotyledon. Furthermore, the method comprises determining a growth stage and determining the type of weed identified by a weed name and a probability of the correctness of the determination using at least one out of a plurality of the received metadata and a plurality of metadata determined during the contouring, during the determining whether the weed is a monocotyledon or a dicotyledon, and during the determination of the growth stage of the weeds as input parameters to a set of classifiers using a storage comprising names of types of weeds together with a plurality of sets of metadata per weed type.