Abstract: An automated machine management and operational control system. The system uses reusable digital assets to efficiently generate mission plans using predictable instructions. The reusable digital assets are created for applicability to multiple machines, locations, implements and operations. Machine, implement or location specific configurations may be used in combination with reusable digital assets to form mission plan instructions.

Abstract: An audio signaling system for automated machines facilitates action controls for a machine or fleet of machines. The audio signaling system may use audio tones and audio recognition for specified actions such as emergency stops. The system may include a field audio output system and onboard audio control systems. Audio control systems may include audio recognition and be integrated with automation control systems.

Abstract: System and techniques for an image filter based on row identification are described herein. A crop row center represented in an image of a crop row can be calculated. A filter corresponding to a set of expected crop characteristics of the crop row can be obtained. Elements in the image can then be categorized based on applying the filter to the image when the filter anchored on the crop row.

Abstract: A system for determining a volume of loose material within a container comprises a support arm mountable above the container, an array of one or more sensors mounted to the support arm, wherein each of the one or more sensors is configured to determine a discrete distance measurement between the array and a surface of the loose material or a surface of the container, and at least one processor in communication with the array of one or more sensors, the processor configured to estimate a volume of the loose material in the container from discrete distance measurements determined by the one or more sensors of the array.

Abstract: System and techniques for an image filter based on row identification are described herein. A crop row center represented in an image of a crop row can be calculated. A filter corresponding to a set of expected crop characteristics of the crop row can be obtained. Elements in the image can then be categorized based on applying the filter to the image when the filter anchored on the crop row.

Abstract: System and techniques for optical flow sensing applications in agricultural vehicles are described herein. A plurality of digital images of an agricultural environment can be obtained from a sensor affixed to agricultural equipment. The plurality of digital images can include a first image and a second image, the second image being captured subsequent to the first image. A transformation of a landmark between the first image and the second image can be identified. A degree of motion for the agricultural equipment relative to an environmental target can be calculated based on the transformation of the landmark.

Abstract: System and techniques for an image filter based on row identification are described herein. A crop row center represented in an image of a crop row can be calculated. A filter corresponding to a set of expected crop characteristics of the crop row can be obtained. Elements in the image can then be categorized based on applying the filter to the image when the filter anchored on the crop row.

Abstract: Systems and techniques for refined row guidance parameterization with Hough transform are described herein. An electronic representation of a field (ERF) can be received. A steering variable calculation can be performed by executing a cascaded Hough transform on the ERF. An intermediate value used in calculating the steering variable can be selected. A refined intermediate value can be identified from the intermediate value by measuring a difference between the intermediate value and an anchor value. The steering variable calculation can be adjusted using the refined intermediate value.

Abstract: A system for determining a volume of loose material within a container comprises a support arm mountable above the container, an array of one or more sensors mounted to the support arm, wherein each of the one or more sensors is configured to determine a discrete distance measurement between the array and a surface of the loose material or a surface of the container, and at least one processor in communication with the array of one or more sensors, the processor configured to estimate a volume of the loose material in the container from discrete distance measurements determined by the one or more sensors of the array.

Abstract: A system for determining a volume of loose material within a container comprises a support arm mountable above the container, an array of one or more sensors mounted to the support arm, wherein each of the one or more sensors is configured to determine a discrete distance measurement between the array and a surface of the loose material or a surface of the container, and at least one processor in communication with the array of one or more sensors, the processor configured to estimate a volume of the loose material in the container from discrete distance measurements determined by the one or more sensors of the array.

Abstract: Systems and techniques for refined row guidance parameterization with Hough transform are described herein. An electronic representation of a field (ERF) can be received. A steering variable calculation can be performed by executing a cascaded Hough transform on the ERF. An intermediate value used in calculating the steering variable can be selected. A refined intermediate value can be identified from the intermediate value by measuring a difference between the intermediate value and an anchor value.

Abstract: System and techniques for an image filter based on row identification are described herein. A crop row center represented in an image of a crop row can be calculated. A filter corresponding to a set of expected crop characteristics of the crop row can be obtained. Elements in the image can then be categorized based on applying the filter to the image when the filter anchored on the crop row.

Abstract: System and techniques for optical flow sensing applications in agricultural vehicles are described herein. A plurality of digital images of an agricultural environment can be obtained from a sensor affixed to agricultural equipment. The plurality of digital images can include a first image and a second image, the second image being captured subsequent to the first image. A transformation of a landmark between the first image and the second image can be identified. A degree of motion for the agricultural equipment relative to an environmental target can be calculated based on the transformation of the landmark.