Patent classifications
A01C21/005
Autonomous integrated farming system
A farming system includes a field engagement unit. The field engagement unit includes a support assembly. The support assembly includes one or more work tool rail assemblies. The field engagement unit additionally includes one or more propulsion units which provide omnidirectional control of the field engagement unit. The field engagement unit additionally includes one or more work tool assemblies. The one or more work tool assemblies are actuatable along the one or more work tool rail assemblies. The farming system additionally includes a local controller. The local controller includes one or more processors configured to execute a set of program instructions stored in memory. The program instructions are configured to cause the one or more processors to control one or more components of the field engagement unit.
INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM
An information processing device calculates a rate related to growth of a plant from sensing data, and performs control to display a sample position image arranged according to a sensing position of each piece of the sensing data in a map region of a user interface screen in an image mode determined according to a rate calculated from each piece of the sensing data.
System for variable-ratio blending of multiple agricultural products for delivery via a ported opener
A system to meter multiple agricultural products according to an independently prescribed rate for each in a variable-ratio blend of the agricultural products from a single opener in a plurality of such systems and openers across an applicator such as a drill. Bulk storage compartments associated with the applicator deliver multiple agricultural products to metering assemblies mounted in clusters or pods across the applicator. The agricultural products are fed from the metering assemblies, via a flow re-director, into a manifold, and then into a corresponding single opener having conduits to transport the agricultural product into the soil. Controllers independently regulate metering by the metering assemblies. The flow re-director and manifold provide blending of combinations of the agricultural products for each opener according to a field prescription.
Dual seed meter and related systems and methods
A dual seed meter having a metering housing having first and second seed disks with a plurality of openings arranged along a curved path of each disk, wherein the disks overlap to form a convergence region such that seed traveling along the curved paths is delivered to a single point. Certain implementations also have a vacuum chamber defined between a first wall of the metering housing and the first and second seed disks and a seed chamber defined between a second wall of the metering housing and the first and second seed disks.
MILESTONE PREDICTION OF FUEL AND CHEMICAL USAGE
Methods, apparatus, systems and articles of manufacture are disclosed for milestone prediction of fuel and chemical usage. An example apparatus includes one or more memories comprising computer readable instructions; one or more processors to execute the computer readable instructions to determine a current amount of fuel required without halt and a current fuel consumption rate for a machine during a harvesting event in a field based on a first amount of fuel required without halt, a first fuel consumption rate, and real time information from sensors of the machine, and determine a real time amount of fuel required based on the current amount of fuel required without halt, the current fuel consumption rate, and a halt time for the machine during the harvesting event, the one or more processors to use the real time amount of fuel required to schedule fuel delivery for the machine.
Structure and method for three-dimensional restoration of slope soil in abandoned ion-absorbed rare earth mining area
A structure and method for three-dimensional restoration of slope soil in an abandoned ion-absorbed rare earth mining area, belonging to the field of ecological restoration technologies. The structure for three-dimensional restoration of slope soil in an abandoned ion-absorbed rare earth mining area provided by the present invention includes an ecological water-harvesting pond, ecological intercepting ditches, an improved soil layer laid on the surface of a to-be-restored slope region and a soil restoration ecological network disposed on the improved soil layer. The improved soil layer, the ecological water-harvesting pond and the ecological intercepting ditches are each provided with a combined plant synusia system. The restoration structure provided by the present invention can effectively improve an extremely degraded ecological environment of the abandoned ion-absorbed rare earth mining area caused by tailings waste land and restore the degraded or polluted mining area soil and environment caused by mine destruction during rare earth mining.
Leveraging genetics and feature engineering to boost placement predictability for seed product selection and recommendation by field
An example computer-implemented method includes receiving agricultural data records comprising a first set of yield properties for a first set of seeds grown in a first set of environments, and receiving genetic feature data related to a second set of seeds. The method further includes generating a second set of yield properties for the second set of seeds associated with a second set of environments by applying a model using the genetic feature data and the agricultural data records. In addition, the method includes determining predicted yield performance for a third set of seeds associated with one or more target environments by applying the second set of yield properties, and generating seed recommendations for the one or more target environments based on the predicted yield performance for the third set of seeds. In the present example, the method also includes causing display, on a display device communicatively coupled to the server computer system, the seed recommendations.
Replant routing and control of a seed planting machine
A map generator generates a replanting map designating a particular area in a field in which it is recommended to add additional seeds. A function of the agricultural machine is then controlled based at least in part on the replanting map so as to facilitate planting additional seeds in the designated particular area.
MACHINE LEARNING OPTIMIZATION THROUGH RANDOMIZED AUTONOMOUS CROP PLANTING
Systems and methods automate the design and execution of randomized experiments. Portions of a field are planted using an agricultural vehicle configured to randomly vary planting parameters when planting a portion of the field. A resulting crop outcome across each portion or sub-portion of the field is observed. A training set of data is generated that includes the varied planting parameters and the associated crop outcomes for each portion of the field. A machine-learned model is trained using the training set of data and is configured to predict a crop outcome for a portion of the field based on historical and forecast conditions and a set of planting parameters applied to a portion of the field. For subsequent iterations, for a target portion of the field, the machine-learned model can be applied to identify a set of planting parameters for planting the target portion of the field to optimize a desired crop outcome.
AGRICULTURAL APPLICATION MACHINE
An agricultural application machine for the combined application of seed and granulate on an agricultural area includes a separating device a portioning device, and a control device. The separating device has a rotationally drivable separating element for separating seed grains and the portioning device has a rotationally drivable portioning element for producing granulating portions. The control device matches the rotational movements of the separating element and the portioning element to each other to implement a predetermined depositing relationship of the seed grains and the granulating portions on the agricultural area.