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: A computer-implemented method for estimating a product consumption of an agricultural product for an agricultural field, comprising the steps: providing a target application rate map (10) comprising an application rate distribution of the agricultural product of the agricultural field, wherein the application rate distribution comprises different target areas with predetermined 5 application rates of the agricultural product (S100); providing a route (34, 52) of an agricultural vehicle and/or an application device of the agricultural vehicle through the agricultural field for applying the agricultural product (S200); providing a working width (37, 52) of the agricultural vehicle and/or the application device of the agricultural vehicle; determining application rates of the agricultural vehicle and/or the application device of the agricultural vehicle at least based on 10 the route (34, 52) of the agricultural vehicle and/or the application device of the agricultural vehicle through the agricultural field (S30

Abstract: The present teachings relate to a method for validating an agricultural farming operation prior to and/or during executing an agricultural farming operation at a geographical location using a machine, the machine being operatively coupled to a computing unit, which method comprises: —providing to the computing unit one or more signals retrieved from the machine; the one or more signals being indicative of one or more parameters related to the machine and/or to the farming operation; —determining, via the computing unit, whether any one or more of the parameters related to the machine and/or to the farming operation lie within an acceptable range or value, which acceptable range or value is specified using field specific data that are provided at a memory storage operatively coupled to the computing unit; and—generating, via the computing unit, an output signal in response to the determination; wherein the output signal is usable for validating and/or specifying the farming operation to monitor and/or control

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: 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.