Provided is a seeder assembly for an aerial vehicle as shown and described. The distribution assembly includes a frame selectively attachable to an aerial vehicle and at least one distribution device attached to the frame. The distribution device having a body defining a cavity to receive a plurality of products and a barrel to discharge the plurality of products. A control device configured to communicate with the aerial vehicle and the distribution device to coordinate the timing that products are discharged and a spacing of a subsequent discharged product relative to the speed of the aerial vehicle. A system, method, and cartridge device associated with the distribution assembly are also contemplated by this disclosure.

The automatic, rotating agricultural system rotates around a central pivot point in either a full rotation or a partial arc to irrigate, plant and/or harvest a field. The agricultural system includes a center pivot frame, a plurality of frame segments connected to each other, and a feed storage bin connected to the center pivot frame and the frame segments. The frame segment includes a section frame including wheels to enable movements, a cutter trolley beam extends in a radial direction of the section frame, a cutterhead coupled to the cutter trolley beam to cut forage or crop, a radial conveyor that moves the cut forage or crop in the radial direction of the section frame, and a cutter conveyor that moves the cut forage or crop from the cutterhead to the radial conveyor.

Capturing data in a drone enabled environmental for testing soil and ecological decision making includes initiating, using a computer, collection of data from multiple sources using a drone. The data includes information about soil at a specified soil location, in response to the drone flying over air space of a physical or geographical location respective to the soil location and/or landing at the soil location. Soil data is received, as part of the data, from the drone in response to testing the soil. The testing of the soil can include conducting a ground conductivity test using two or more probes coupled to respective landing pads of the drone, and positioning the drone over the soil location such that the two or more probes contact the soil. The data is analyzed to determine a best location for seeding and growing a plant in the soil.

A method for the application of agricultural fluid to a field includes determining a location of each of a plurality of nozzles of an agricultural spraying machine. A flow rate for each of the nozzles is determined based on each respective nozzle's location in the field. A field map is used to determine a crop requirement and application restriction associated with a nozzle's location. The field map contains indications of crop requirements and application restrictions. The flow rate for a nozzle is determined by comparing the nozzle's location to the field map. A flow rate signal is transmitted to each of the nozzles based on its determined flow rate.

A method and system for zone mapping displays a geographic area to a user and receives input from the user identifying a zone of the geographic area. An identification of an agricultural material to be applied in the zone is also received and an application plan is generated in response. The application plan is generated based on features identified in the zone, the agricultural material to be applied, and application requirements and restrictions associated with the agricultural material that are identified by the manufacturer of the material and, in some cases, governmental agencies. The agricultural machine tracks the application of the agricultural material and transmits application information for storage in the zone mapping system for later retrieval in response to requests, such as compliance requests.

A method including adjusting a changeable component of a seed planting machine when switching from a first variety of seed to a second variety of seed during planting, wherein the adjusting is based on a location of the planting machine.

Systems, implements, and methods for seed orientation during planting operations of agricultural plants of agricultural fields include a seed firmer having a base support to be positioned in operation in proximity to a trench for planting seed in the trench and a lower member integrated with the base support or coupled to the base support. The lower member includes a non-planar ground contacting lower surface to adjust an orientation of the seed to a desired seed orientation within the trench and to position the seed within the trench at a desired depth.

An agricultural machine for dispensing material to be distributed, which agricultural machine comprises at least one metering element having a metering roller for metering the material to be distributed mounted in a metering housing and is rotatably driven. The metering roller has a plurality of metering wheel segments, each metering wheel segment of the metering roller is assigned a separate drive to drive the metering wheel segments independently of each other to ensure exact metering of the material to be distributed within finely subdivided partial widths of the agricultural machine. The drives of the metering wheel segments of the metering roller are arranged in the interior thereof, for example within a tubular hollow body, on which the metering wheel segments are mounted, such that the drives are ideally accommodated with protection from external influences and in a space-saving manner.

A spreader with a material divider that is adjustable to change a stream of material which flows in an arbitrary manner to the centrifugal disk(s) described to achieve a desired symmetrical or asymmetrical spread pattern.

The present teachings relate to a method for validating an agricultural farming operation prior to and/or during executing an agricultural farming operation at a geographical location using a machine, the machine being operatively coupled to a computing unit, which method comprises: —providing to the computing unit one or more signals retrieved from the machine; the one or more signals being indicative of one or more parameters related to the machine and/or to the farming operation; —determining, via the computing unit, whether any one or more of the parameters related to the machine and/or to the farming operation lie within an acceptable range or value, which acceptable range or value is specified using field specific data that are provided at a memory storage operatively coupled to the computing unit; and—generating, via the computing unit, an output signal in response to the determination; wherein the output signal is usable for validating and/or specifying the farming operation to monitor and/or control the machine. The teachings also relate to a machine, a software product and a computing unit.