Patent ID: 11861520
Assignee: PLANET WATCHERS LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 18:
19. A computer-implemented method of forecasting and/or analyzing crop states based on at least one data source, the method comprising:
receiving seasonal image data from at least one source, wherein the seasonal image data is associated with at least one agricultural field;
processing the seasonal image data using a Bayesian framework, wherein the Bayesian framework comprises one or more crop models configured to predict, based on the seasonal image data, one or more probabilities indicative of at least one crop state;
updating at least one crop model of the Bayesian framework based on said one or more probabilities;
outputting a forecast of said at least one crop state based on said one or more probabilities;
generating a dynamic rule set amongst at least two crop models based on said at least one crop state and weighted confidence information associated with said at least two crop models;
combining said at least two crop models to form an ensemble model based on an order provided by the dynamic rule set, wherein the order is determined based on the output of each of said at least two crop models;
updating the ensemble model based on the seasonal image data until the ensemble model is able to predict a crop state in the following agricultural season within at least one confidence interval in relation to the dynamic rule set;
providing the ensemble model as part of the Bayesian framework for generating the forecast; and
updating the dynamic rule set based on the forecast.