An agricultural machine includes a set of ground engaging elements that perform a ground engaging operation. The agricultural machine includes a rearward sensor mounted to the agricultural machine to sense an area of ground behind the agricultural machine and generate a rearward sensor signal. The agricultural machine includes rearward zone generator logic that determines a first zone and a second zone, wherein the first zone and the second zone represent portions of the area of ground behind the agricultural machine. The agricultural machine includes rearward residue generator logic configured to receive the rearward sensor signal and determine a first residue metric indicative of the amount of residue in the first zone. The agricultural machine includes control logic that controls one or more aspects of the ground engaging operation on the area of ground based on the first residue metric.

An agricultural assistance system including a driver assistance system for controlling one or both of a prime mover and an attachment of an agricultural combination is disclosed. The agricultural assistance system generates control parameters for one or both of the prime mover and the attachment, has a rule interpreter that generates the control parameters by processing rules from sets of rules, and has a rule generator that provides a plurality of sets of rules. The agricultural assistance system executes the rule interpreter as needed on control hardware that is part of one or both of the prime mover or the attachment, and on control hardware that is disposed remote from the combination. The agricultural assistance system has a coordination module for this which, independent of the site at which the rule interpreter is run, coordinates the rule interpreter with the control generator and the driver assistance system.

A planting system (100) for arrangement on a vehicle (110) comprises at least one plant arm (130) comprising a plant head (140) configured to penetrate ground and a plant feeding device (120) configured to feed plant seedlings (125) to the plant arm by dropping the plant seedlings from the plant feeding device. The plant arm comprises at least one articulation (180) and is configured to receive plant seedlings (125) and to guide the plant seedlings to the plant head. The planting system is configured to operate the plant arm by penetrating the ground and release the plant seedlings from the plant head into the ground while the plant system (100) is in motion and the plant head has a fixed position relative the ground. The plant seedlings fall from the plant feeding device (120) to the plant head (140) while the plant arm (130) is in motion.

A method of improving agricultural treatment includes identifying a mineralogical feature based on a collected soil sample, generating a soil clay characterization based on the mineralogical feature, and generating an agricultural prescription. A system includes a processor and a memory storing instructions that, when executed by the processor, cause the system to identify a mineralogical feature based on a collected soil sample, generate a soil clay characterization based on the mineralogical feature, and generate an agricultural prescription. A non-transitory computer readable medium containing program instructions that, when executed, cause a computer to identify a mineralogical feature based on a soil sample, generate a soil clay characterization based on the mineralogical feature, and generate an agricultural prescription.

A ponding monitoring and detection system monitors, detects, and predicts ponding in an irrigated field in essentially real-time. The ponding monitoring and detection system also monitors and records locations of detected and predicted ponding.

One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

In one aspect, a system for determining subsurface soil layer characteristics as an agricultural implement is towed across a field by a work vehicle may include a RADAR sensor configured to capture data indicative of a subsurface soil layer characteristic of the field. Furthermore, the system may include a load sensor configured to capture data indicative of a load applied to the agricultural implement by soil within the field, with the load being indicative of the subsurface soil layer characteristic. Additionally, a controller of the system may be configured to determine a first value of the subsurface soil layer characteristic based on the data received from the RADAR and a second value of the subsurface soil layer characteristic based on the data received from the load sensor. Moreover, the controller may be configured to determine a differential between the first value and the second value.

A soil or plant analysis apparatus to perform low and high frequency measurements is described herein. In one embodiment, the soil analysis apparatus comprises a first sub-system to perform low frequency soil measurements and a second sub-system to perform high frequency soil measurements. The high frequency measurements of the second sub-system are at least 1.25 times the low frequency measurements of the first sub-system.

A method includes receiving, by the treatment system, during operation in an agricultural environment, one or more images comprising one or more agricultural objects in the agricultural environment, identifying, in real-time, one or more objects of interest from the one or more agricultural objects by analyzing the one or more images, wherein the analyzing results in a first object being identified as belonging to one or more target objects and a second object being identified as not belonging to the one or more target objects, logging one or more results of the identification of each of the one or more objects of interest and a corresponding treatment decision; and activating the treatment mechanism to treat the one or more target objects.

Methods, apparatus, systems, and articles of manufacture to select track paths for one or more vehicles in a field are disclosed. An example apparatus includes input interface circuitry to obtain a request for a first track path for a first vehicle, path instruction generation circuitry to, in response to the request, obtain information defining a plurality of track paths in a field, and select, based on the request, the first track path from the plurality of track paths, and update circuitry to update the information to indicate that the first track path is claimed by the first vehicle.