Abstract: A sensing system bias is reduced across a first agricultural machine and a second agricultural machine. A collection of agronomic data is accessed, that is indicative of an estimated crop yield. The collection that is accessed, for example, includes at least a first set of data sensed by the first agricultural machine and a second set of data sensed by the second agricultural machine. In addition, the first and second sets of data can be scaled based on a yield correction factor. A bias between the scaled first set of data and the scaled second set of data is determined, and a smoothing operation is performed on the scaled first and second sets of data.

Abstract: A method and non-transitory computer-readable medium capture an image of bulk grain and apply a feature extractor to the image to determine a feature of the bulk grain in the image. For each of a plurality of different sampling locations in the image, based upon the feature of the bulk grain at the sampling location, a determination is made regarding a classification score for the presence of a classification of material at the sampling location. A quality of the bulk grain of the image is determined based upon an aggregation of the classification scores for the presence of the classification of material at the sampling locations.

Abstract: An apparatus may include a harvester head having a crop harvesting width, different components across the harvesting width to interact with plants being harvested, at least one sensor to sense a power characteristic associated with each of the different components and a processing unit to output a crop quantity distribution signal based upon differences in the power characteristic associated with the different components across the harvesting width.

Abstract: A method and apparatus estimate yield. A first signal is received that indicates an aggregate yield measured by an aggregate yield sensor during a measurement interval. A second signal is received that indicates a plurality of geo-referenced regions across which a harvester has traveled prior to the measurement interval. The method and apparatus allocate, to each of at least two geo-referenced regions, an aggregate yield portion allocation based upon different travel times for crops to the aggregate yield sensor and pre-harvest weighting data value differences amongst the at least two georeferenced regions. The aggregate yield portion allocations are output.

Abstract: A particulate matter impact sensor (301) for sensing impacts of particles (106) comprises a support layer (302); and a sensing media layer (300) disposed in front of the support layer (302).

Abstract: An apparatus may include a harvester head having a crop harvesting width, different components across the harvesting width to interact with plants being harvested, at least one sensor to sense a power characteristic associated with each of the different components and a processing unit to output a crop quantity distribution signal based upon differences in the power characteristic associated with the different components across the harvesting width.

Abstract: A sensing system bias is reduced across a first agricultural machine and a second agricultural machine. A collection of agronomic data is accessed, that is indicative of an estimated crop yield. The collection that is accessed, for example, includes at least a first set of data sensed by the first agricultural machine and a second set of data sensed by the second agricultural machine. In addition, the first and second sets of data can be scaled based on a yield correction factor. A bias between the scaled first set of data and the scaled second set of data is determined, and a smoothing operation is performed on the scaled first and second sets of data.

Abstract: A method and apparatus estimate yield. A first method comprises receiving a first signal indicating an aggregate yield measured by an aggregate yield sensor during a measurement interval, receiving a second signal indicating a plurality of geo-referenced regions across which a harvester head has traveled prior to the measurement interval, allocating a portion of the aggregate yield to each of at least two geo-referenced regions based upon different travel times for crops from different portions of the head and outputting aggregate yield portion allocations. A second method estimates yield based upon sensed power characteristics across the harvesting width of a harvesting machine.

Abstract: A method and non-transitory computer-readable medium capture an image of bulk grain and apply a feature extractor to the image to determine a feature of the bulk grain in the image. For each of a plurality of different sampling locations in the image, based upon the feature of the bulk grain at the sampling location, a determination is made regarding a classification score for the presence of a classification of material at the sampling location. A quality of the bulk grain of the image is determined based upon an aggregation of the classification scores for the presence of the classification of material at the sampling locations.

Abstract: A method and non-transitory computer-readable medium capture an image of bulk grain and apply a feature extractor to the image to determine a feature of the bulk grain in the image. For each of a plurality of different sampling locations in the image, based upon the feature of the bulk grain at the sampling location, a determination is made regarding a classification score for the presence of a classification of material at the sampling location. A quality of the bulk grain of the image is determined based upon an aggregation of the classification scores for the presence of the classification of material at the sampling locations.

Abstract: A method of calibrating a mass flow sensor while harvesting grain includes sensing an accumulated mass of a portion of grain within the grain tank with a first sensor. A mass flow rate sensor is calibrated based at least in part on a signal of the first sensor.

Abstract: A method of calibrating a mass flow sensor while harvesting grain includes sensing an accumulated mass of a portion of grain within the grain tank with a first sensor. A mass flow rate sensor is calibrated based at least in part on a signal of the first sensor.

Abstract: A moisture sensor that has a drive electrode and a separate sense electrode is described. Both electrodes have surfaces that face the sensed material and the surfaces are co-planar. The drive electrode receives an excitation signal and generates an electric field that produces a current in the sense electrode. The current is indicative of moisture in the sensed material.

Abstract: A method and non-transitory computer-readable medium capture an image of bulk grain and apply a feature extractor to the image to determine a feature of the bulk grain in the image. For each of a plurality of different sampling locations in the image, based upon the feature of the bulk grain at the sampling location, a determination is made regarding a classification score for the presence of a classification of material at the sampling location. A quality of the bulk grain of the image is determined based upon an aggregation of the classification scores for the presence of the classification of material at the sampling locations.

Abstract: A method and apparatus estimate yield. A first method comprises receiving a first signal indicating an aggregate yield measured by an aggregate yield sensor during a measurement interval, receiving a second signal indicating a plurality of geo-referenced regions across which a harvester head has traveled prior to the measurement interval, allocating a portion of the aggregate yield to each of at least two geo-referenced regions based upon different travel times for crops from different portions of the head and outputting aggregate yield portion allocations. A second method estimates yield based upon sensed power characteristics across the harvesting width of a harvesting machine.

Abstract: A method and apparatus estimate yield. A first signal is received that indicates an aggregate yield measured by an aggregate yield sensor during a measurement interval. A second signal is received that indicates a plurality of geo-referenced regions across which a harvester has traveled prior to the measurement interval. The method and apparatus allocate, to each of at least two geo-referenced regions, an aggregate yield portion allocation based upon different travel times for crops to the aggregate yield sensor and pre-harvest weighting data value differences amongst the at least two georeferenced regions. The aggregate yield portion allocations are output.

Abstract: A particulate matter impact sensor (301) for sensing impacts of particles (106) comprises a support layer (302); and a sensing media layer (300) disposed in front of the support layer (302).

Abstract: A method of calibrating a mass flow sensor while harvesting grain includes sensing an accumulated mass of a portion of grain within the grain tank with a first sensor. A mass flow rate sensor is calibrated based at least in part on a signal of the first sensor.

Abstract: A method of calibrating a mass flow sensor while harvesting grain includes sensing an accumulated mass of a portion of grain within the grain tank with a first sensor. A mass flow rate sensor is calibrated based at least in part on a signal of the first sensor.

Abstract: A moisture sensor that has a drive electrode and a separate sense electrode is described. Both electrodes have surfaces that face the sensed material and the surfaces are co-planar. The drive electrode receives an excitation signal and generates an electric field that produces a current in the sense electrode. The current is indicative of moisture in the sensed material.