Abstract: Assessing an insurance situation of a field by obtaining crop insurance policies related to a specific crop field, collecting at least one time-based image of the specific crop field, extracting time-based environmental features from the time-based image, and assessing an occurrence of an insurance event in the specific crop field by matching the extracted features to conditions included in the insurance policies related to the specific crop field.

Abstract: An agricultural monitoring system, apparatus and method(s) for providing crop-related forecasts by performing the steps of receiving seasonal image data from at least one source, where the seasonal image data is associated with at least one agricultural field, processing the seasonal image data using a Bayesian framework, where 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 the one or more probabilities, and outputting a forecast of the at least one crop state based on the one or more probabilities.

Abstract: An agricultural monitoring system, apparatus and method(s) for providing crop-related forecasts by performing the steps of receiving seasonal image data from at least one source, where the seasonal image data is associated with at least one agricultural field, processing the seasonal image data using a Bayesian framework, where 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 the one or more probabilities, and outputting a forecast of the at least one crop state based on the one or more probabilities.

Abstract: A system and method for detecting and representing a directionality of objects in an image. A system and method may process an input image to produce a set of direction-filtered images, calculate a local gradient field based on the of direction-filtered images, calculate a magnitude of a projection of a local gradient on a predefined direction and use the projection to represent a directionality of the set of objects. A system and method may calculate a local orientation angle and associate the local orientation angle with pixels in an input digital image.

Abstract: A system and method for detecting and representing a directionality of objects in an image. A system and method may process an input image to produce a set of direction-filtered images, calculate a local gradient field based on the of direction-filtered images, calculate a magnitude of a projection of a local gradient on a predefined direction and use the projection to represent a directionality of the set of objects. A system and method may calculate a local orientation angle and associate the local orientation angle with pixels in an input digital image.

Abstract: A device and method for identifying plant rows in a field represented by an image is provided. The plant rows may be identified using the frequency domain. The plant rows may further be identified using information regarding plant positions. Additionally, plant rows may be obtained by any appropriate method and analyzed to differentiate between planted and non-planted rows. Further, plant rows may be segmented according to predefined classifications or attributes thereof, wherein the classification/attributes may derived from an image of the area in which the plant rows are found and/or using any other appropriate method.

Abstract: A system and method for computing an amount of timber that can be harvested from a plurality of trees is provided. An image related to a plurality of trees in a region may be obtained. A digital representation of the image may be analyzed to determine at least one of a presence, a location and/or a height of at least some of the trees. An inventory report related to an amount of timber that may be harvested may be generated based on at least one of the presence, location and/or a height of trees in the region.

Abstract: A device and method for identifying plant rows in a field represented by an image is provided. The plant rows may be identified using the frequency domain. The plant rows may further be identified using information regarding plant positions. Additionally, plant rows may be obtained by any appropriate method and analyzed to differentiate between planted and non-planted rows. Further, plant rows may be segmented according to predefined classifications or attributes thereof, wherein the classification/attributes may derived from an image of the area in which the plant rows are found and/or using any other appropriate method.

Abstract: A system and method for computing an amount of timber that can be harvested from a plurality of trees is provided. An image related to a plurality of trees in a region may be obtained. A digital representation of the image may be analyzed to determine at least one of a presence, a location and/or a height of at least some of the trees. An inventory report related to an amount of timber that may be harvested may be generated based on at least one of the presence, location and/or a height of trees in the region.