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: The invention relates to a method for operating a harvesting machine for harvesting a crop in a field, at least one operating value for a working part of the harvesting machine being determined in dependence on at least one plant property of the crop. According to the invention, it is provided that the plant property is mapped in a plant growth model, the plant growth model modelling a development over time of the plant property and determining a predictive value or a predictive characteristic of the plant property for the time of the harvest.

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: The present disclosure is directed to a method for applying an agrochemical to an agricultural area of interest based on information generated from a remote sensing survey. A remote sensing survey is performed within or adjacent to the agricultural area of interest wherein the survey generates remotely sensed data. The remotely sensed data can be analyzed and/or interpreted to determine whether to apply an agrochemical based on an insect presence within or adjacent to the agricultural area of interest.

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 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: Systems and methods for generating crop yield maps are provided. In one example embodiment, a method comprises accessing data indicative of crop yield for a field area; accessing one or more data types associated with the field area, each of the data types providing a geospatial distribution of data associated with vegetation across the field area; determining a crop yield distribution for the field area; and generating a yield map for the field area based at least partially on the crop yield distribution.

Abstract: The invention relates to a method, a system and a computer program product for ascertaining a plant property of a useful plant in a field, wherein external data concerning the useful plant are stored in a memory unit, wherein a measurement device ascertains a raw measured value relating to at least one plant property, and wherein a calibrated or corrected value for the plant property is ascertained on the basis of the raw measured value taking account of the external data from the memory unit.

Abstract: The present invention relates to the application of a concentrate in diluted form. Subject matters of the present invention are a device and a method for application of a concentrate in diluted form. A further subject matter of the present invention is use of the device according to the invention in the area of agriculture, in particular for treating cultivated plants with plant protection agents and/or nutrients.

Abstract: The present invention relates to the identification of beneficial insects and/or harmful organisms in a field for crop plants. The presence of a species in the field is captured by one or more sensors. One or a plurality of suggestions is/are generated as to which species it could be. Based on one or more models, the probability that the detected species could be a proposed species is calculated in each case. The site at which the species is detected, the detection time and preferably further parameters that affect the presence of the proposed species in the field are included in a model. The expressive capacity of the sensor or sensors is increased by means of the modeling.

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: A method is presented for determining a weight of all of the grains of an ear of a grain stalk. The method comprises providing a digital image of the ear in a spindle step view of the ear, wherein the ear is located in front of a reference card as a background, and determining the length of the ear by means of a comparison with the reference card. Furthermore, the method comprises determining a number of spindle steps of the ear by means of a template matching method, determining a number of grains of the ear and determining of the weight of all of the grains of the ear.

Abstract: A method for predicting the yield of a cornfield is presented. The method has the steps of positioning a digital camera at a defined distance above an average plane of ears of a cornfield, capturing a digital image of a section of the cornfield, determining the area of the captured cornfield section, determining the total area of the ears in the digital image compared to the total area of the digital image, and determining the yield of the field from the total area of the ears in the digital image compared to the total area of the digital image, the determined area of the captured cornfield section, the average grain weight of an ear, a total field area and a calibration factor.

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.

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: The present invention relates to the cultivation of crop plants using plant protection agents. Objects of the present invention are methods, a system and a computer program product for determining the partial-area-specific requirement of a crop plant for plant protection agents.

Abstract: A method for operating a harvesting machine for harvesting a crop in a field, at least one operating value for a working part of the harvesting machine being determined in dependence on at least one plant property of the crop. The plant property is mapped in a plant growth model, the plant growth model modelling a development over time of the plant property and determining a predictive value or a predictive characteristic of the plant property for the time of the harvest.

Abstract: The present disclosure is directed to a method for applying an agrochemical to an agricultural area of interest based on information generated from a remote sensing survey. A remote sensing survey is performed within or adjacent to the agricultural area of interest wherein the survey generates remotely sensed data. The remotely sensed data can be analyzed and/or interpreted to determine whether to apply an agrochemical based on an insect presence within or adjacent to the agricultural area of interest. In one embodiment, an agrochemical can be applied within or adjacent to the agricultural area of interest.