A method of using an unmanned agricultural robot to generate an anticipatory geospatial data map of the positions of annual crop rows planted within a perimeter of an agricultural field, the method including the step of creating a geospatial data map of an agricultural field by plotting actual annual crop row positions in a portion of the geospatial data map that corresponds to a starting point observation window, and filling in a remainder of the geospatial data map with anticipated annual crop row positions corresponding to the annual crop rows outside of the starting point observation window, and refining the geospatial data map by replacing the anticipated annual crop row positions with measured actual annual crop row positions when an unexpected obstacle is encountered.

Various apparatus and procedures for agricultural operations are provided. In particular, in one embodiment, methods for determining the precise location of each seed planted and using the seed planting location data to improve post-planting operations are provided. In another embodiment, apparatus and methods for determining the location of wet zones in an agricultural field and using the wet zone location data to plan an optimal path through the field to avoid wet areas are provided. In another embodiment, methods for tendering seed and chemical inputs for an agricultural operation are provided. In another embodiment, dynamic path planning methods of an autonomous agricultural vehicle are provided. In another embodiment, methods of planting end rows in an agricultural field are provided. In another embodiment, methods for planting multiple seed varieties in an agricultural field are provided.

A seed meter is provided for planting multiple types of seed and rapidly switching between the types being planted in a single planting pass of a planting session of row-crop planting. The seed meter has a segmented seed meter reservoir with multiple seed meter chambers arranged between two pairs of seed disks that may be better parallel to each other or angled with respect to each other to define an X-shaped arrangement of the seed disks in the seed meter. Activation and deactivation of the seed disks within the seed meter are synchronized to selectively deliver a single one of the multiple types of seed from the respective seed meter chamber for delivery out of a single seed tube of the seed meter, which may provide absolute and instantaneous on-the-go seed switching within a single row from each seed meter.

Display of graphical maps of agricultural fields, coded with color or other indicators of values of data pertaining to agronomy at high resolution, and updated on a daily basis or on demand by recalculating agronomy models with the high-resolution data, is disclosed. Map displays may include multiple layers that relate to different agronomy metrics, and GUI widgets that are programmed to receive selection of values indicating different field properties or layers to display. In an embodiment, a computer-implemented data processing method providing an improvement in efficient calculation of digital data representing physical properties of agricultural fields, the method comprising receiving digital input specifying a request to display a map image of a specified agricultural field for a particular day; in response to receiving the input, calculating an interpolated digital image of the specified agricultural field with a plurality of different field properties, by: dividing a digital map of the specified field into a plurality of grids each having a same size and a same area; obtaining, from digital storage, a plurality of data for the different field properties and assigning the data as covariates; grouping the grids into a specified number of clusters based on values of the covariates; pseudo-randomly selecting a specified number of one or more sample values in each of the clusters; evaluating a digital fertility model using the sample values and storing a plurality of output values from the digital fertility model; interpolating a plurality of model values for the grids; generating and causing displaying a visual graphical image of the specified agricultural field including color pixels corresponding to each of the model values.

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.

A method including: recording a first image of a first field region; automatically treating a plant within the first region in-situ based on the first image; automatically verifying the plant treatment with a second image of the first region; and automatically treating a second region concurrently with treatment verification.

An apparatus and methods for delivering a particulate product onto a soil surface proximate adjacently spaced crop rows. The apparatus includes a plurality of drop members supported by and spaced laterally along a boom structure such that each drop member is positioned between two adjacently spaced crop rows. The drop member extends downwardly from the boom structure toward the soil surface. The drop member supports a hopper which receives a quantity of particulate product. Diverging particulate product passageways supported from a lower portion of the drop member deliver the particulate product from the hoppers onto the soil surface adjacent the two adjacently spaced crop rows. In alternative embodiments, the drop members may also support liquid passageways for delivering liquid product to the soil surface with the particulate product and the drop members may support spray assemblies for spraying plants in the adjacent crop rows.

A system for dispensing crop input products from multiple meters per crop row, including: a) a georeferencing module configured to receive and process georeferenced location information; b) a prescriptive control module configured to receive the processed georeferenced location information from the georeferencing module and utilize the georeferenced location information to generate specific prescriptive rate information for individual meters in the field; and, c) a meter controller module operatively connected to the prescriptive control module. The meter controller module is configured to utilize the specific prescriptive rate information to individually control multiple meters per crop row, to simultaneously dispense crop input products at specific prescriptive rates at georeferenced locations throughout the field.

A method of inhibiting dry material clogs in a work vehicle having an air boom assembly includes moving the work vehicle at a vehicle speed along a ground surface, moving dry material from a holding tank onto a conveyor, and operating the conveyor at a conveyor speed, the conveyor speed being at least partially dependent upon the vehicle speed, moving material from the conveyor into a boom assembly with a blower, dispensing the dry material onto the ground surface through a plurality of nozzles of the boom assembly, and comparing the conveyor speed to a maximum acceptable conveyor speed. If the conveyor speed is greater than the maximum acceptable conveyor speed, the method includes performing at least one of the following: alerting the operator that the conveyor speed is greater than the maximum acceptable speed, and reducing the vehicle speed to thereby reduce the speed of the conveyor.

Devices, such as mobile sensors and static sensors, monitor field health. A comparison to a baseline may facilitate detection of a field health issue. When an issue with field health is determined, a remedy may be deployed. Deploying a remedy may use an unmanned vehicle, such as an unmanned aerial vehicle, or a liquid distribution manifold.