A yaw rate is sensed on a towing vehicle that is towing an air seeder. The sensed yaw rate is used to predict a future yaw rate on a planting implement of the air seeder. An application rate of material is varied across the application implement based upon the predicted yaw rate across the implement.

At least some aspects of the present disclosure are directed to systems and methods of an agronomic condition prediction and alerts engine. In some cases, the engine receives a set of field data and the set of field data includes one or more of geospatial data, crop data, user data, agronomic data, and weather data. In some cases, the engine retrieves a set of agronomic profile data from an agronomic data repository, where each of the set of agronomic profile data representing an agronomic condition and comprising one or more of geospatial profile, crop profile, pest profile, agronomic profile, user data profile, and weather profile corresponding to the agronomic condition. In some embodiments, the engine applies a multivariable processing to the set of field data using the set of agronomic profile data and generates an agronomic condition indicator indicative of one or more agronomic conditions.

The present invention provides an agricultural delivery system which may selectively deliver agricultural product (e.g., seeds or fertilizer) along one or more paths to row units according to a real-time location determined for the delivery system. The delivery system may include: a rotating drum configured to separate individual product for depositing along paths to row units; a sectional control system which may include wheels or gates for selectively cutting off product in the paths; and a controller in communication with a positioning system and the sectional control system. In operation, as the delivery system moves through a field, the controller may continuously determine a location for the delivery system. The controller may then operate to adjust individual product delivery, via the sectional control system, according to the location.

Embodiments relate to a system that generates a crop yield component map for a field. The system determines amounts of nitrogen applied to each portion of the field by a set of nitrogen applicator farming machines. The system accesses crop yield data associated with a crop that was grown in the field. The crop yield data was generated by a set of harvester farming machines that travelled through the field and harvested plant parts of the crop. The system determines, by analyzing the crop yield data, plant part metrics for the harvested plant parts in each field portion. The system generates a crop yield component map that maps, for each field portion, a plant part metric associated with the field portion and an amount of nitrogen applied to the field portion. The component map may then be provided for display.

A system for automatically controlling air flow rate within an agricultural system is provided. One system for distributing an agricultural product includes a metering system configured to meter the agricultural product from a storage tank into a conduit. The system includes an air conveyance system to provide an air stream for moving metered agricultural product in the conduit toward a distribution device. The air conveyance system comprises one or more sensors to monitor the product status and/or the air stream inside the conduit. The system also includes control circuitry configured to control air flow rate based on the product status and/or the air stream inside the conduit and/or the geographic location of the system.

Described herein are technologies for mapping sensed positions of a toolbar of an agricultural implement, such as when the implement moves through a crop field. The technologies include a method including (1) sensing a position of the toolbar at a geographic location of the field, (2) matching the location of the field with a position in a map of the field corresponding to the location, and (3) associating the sensed position of the toolbar to the position in the map. In some embodiments, the method includes repeating the aforesaid operations for multiple geographic locations of the field and rendering an image of the map to be displayed in a GUI. Also, in some embodiments, the method includes rendering the image of the map with an image of a yield map of the field. In some embodiments, the method includes generating a topographic map based on the sensed toolbar positions.

Described herein are technologies for mapping sensed positions of operative rows of an agricultural implement, such as when the implement moves through a crop field. The technologies include a method including (1) sensing a position of an operative row at a geographic location of the field, (2) matching the location of the field with a position in a map of the field corresponding to the location, and (3) associating the sensed position of the row to the position in the map. In some embodiments, the method includes repeating the aforesaid operations for multiple geographic locations of the field and rendering an image of the map to be displayed in a GUI. Also, in some embodiments, the method includes rendering the image of the map with an image of a yield map of the field. In some embodiments, the method includes generating a topographic map based on the sensed row positions.

The disclosure relates generally to computer vision and automation to autonomously identify and deliver for application a treatment to an object among other objects, data science and data analysis, including machine learning, deep learning, and other disciplines of computer-based artificial intelligence to facilitate identification and treatment of objects, and robotics and mobility technologies to navigate a delivery system, more specifically, to an agricultural delivery system configured to identify and apply, for example, an agricultural treatment to an identified agricultural object. In some examples, a method may include identifying a subset of payloads to provide one or more actions based on data representing a policy for one or more subsets of agricultural objects, causing one or more cartridges to be charged based on the subset of payloads, and, and implementing one or more cartridges at an agricultural projectile delivery system.

In one embodiment, an autonomous vehicle includes a controller and a control interface disposed in an enclosure on the side of the autonomous vehicle. The control interface includes a display communicatively coupled to the controller. The display is used to at least setup or control operation of an implement attached to the autonomous vehicle, setup or control operation of the autonomous vehicle, or both.

In an embodiment, computer processes are programmed to determine planting plans based on planting characteristics data received for an agricultural field and a plurality of management zone delineation options defined for the agricultural field. Each of the planting plans specifies different planting recommendations for the agricultural field. A first graphical representation of the planting plans, and an interactive object is generated and displayed on a computing device. The interactive object is configured to receive input specifying a relative importance ratio between the planting plans for determining a new planting plan for the agricultural field. A particular relative importance ratio is received via the interactive object, and is used to determine the new planting plan, which specifies new planting recommendations for the agricultural field. Information about the new planting plan is displayed on the computer device.