Patent classifications
A01B79/02
SOIL DENSITY PREDICTION FOR SUBSOIL CROPS
An approach to the prediction of soil density and subsoil crop growth may be provided. The approach may include subsoil sensor which can monitor changes in soil pressure and moisture conditions. The sensor data can be sent to a computer module which can process the data using a machine learning model predicting the soil density around a subsoil crop and the yield of the subsoil crop. A soil maintenance plan can be generated from the soil density prediction and/or the crop yield prediction. The soil maintenance plan can be sent to soil management robots, which can execute the soil maintenance plan.
Automatic rotating agricultural system to irrigate, plant, gather forage, and/or harvest field and method for operating the system
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.
System and method for calibrating load sensors of an agricultural implement
A system for calibrating load sensors installed on an agricultural implement. The system includes a load sensor provided in operative association with a ground engaging tool and configured to capture load data indicative of a load applied to the ground-engaging tool. The system also includes a controller communicatively coupled to the load sensor configured to determine first and second load values based on the load data received from the load sensor when the down force actuator is disposed at first and second actuator positions so as to apply first and second down forces, respectively, against the ground engaging tool. The controller is also configured to determine a relationship between the first and second load values and corresponding force values associated with the first down force and the second down force.
System and method for calibrating load sensors of an agricultural implement
A system for calibrating load sensors installed on an agricultural implement. The system includes a load sensor provided in operative association with a ground engaging tool and configured to capture load data indicative of a load applied to the ground-engaging tool. The system also includes a controller communicatively coupled to the load sensor configured to determine first and second load values based on the load data received from the load sensor when the down force actuator is disposed at first and second actuator positions so as to apply first and second down forces, respectively, against the ground engaging tool. The controller is also configured to determine a relationship between the first and second load values and corresponding force values associated with the first down force and the second down force.
TILLAGE IMPLEMENT WITH VISION SENSORS
A control system for a tillage implement broadly includes front and rear sensors, a leveling assembly, and a controller. The front sensor is positioned on a front of a central section, wherein the front sensor is configured to obtain height information indicative of a height of the front of the central section above a ground. The rear sensor is positioned on a rear of the central section, wherein the rear sensor is configured to obtain height information indicative of a height of the rear of the central section above the ground. The leveling assembly is configured to adjust a front to rear orientation of the central section. The controller is configured to receive the height information from the front sensor and the height information from the rear sensor, and to provide instructions to the leveling assembly to adjust the front to rear orientation of the central section based on the received height information.
METHOD AND APPARATUS FOR DETERMINING AND MAPPING CROP HEIGHT
A method for mapping a height of a crop in a field divided into a plurality of areas includes determining a height of a cutting bar of an agricultural machine and receiving data from a crop height sensor. The height of crops sensed by the crop height sensor is determined based on the height of the cutting bar and data from the crop height sensor. The crop height is then associated with one of a plurality of areas of the field based on a location of the crop height sensor. In one embodiment, the height of a reel of the agricultural machine is also used in determining the height of crops. The crop height data is used to generate a field map that is used to generate a field treatment plan.
METHOD AND APPARATUS FOR DETERMINING AND MAPPING CROP HEIGHT
A method for mapping a height of a crop in a field divided into a plurality of areas includes determining a height of a cutting bar of an agricultural machine and receiving data from a crop height sensor. The height of crops sensed by the crop height sensor is determined based on the height of the cutting bar and data from the crop height sensor. The crop height is then associated with one of a plurality of areas of the field based on a location of the crop height sensor. In one embodiment, the height of a reel of the agricultural machine is also used in determining the height of crops. The crop height data is used to generate a field map that is used to generate a field treatment plan.
PRECISION AGRICULTURAL TREATMENT BASED ON GROWTH STAGE IN REAL TIME
Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to an agricultural observation and treatment system and method of operation. The agricultural treatment system may determine a first real-world geo-spatial location of the treatment system. The system can receive captured images depicting real-world agricultural objects of a geographic scene. The system can associate captured images with the determined geo-spatial location of the treatment system. The treatment system can identify, from a group of mapped and indexed images, images having a second real-word geo-spatial location that is proximate with the first real-world geo-spatial location. The treatment system can compare at least a portion of the identified images with at least a portion of the captured images. The treatment system can determine a target object and emit a fluid projectile at the target object using a treatment device.
PRECISION AGRICULTURAL TREATMENT BASED ON GROWTH STAGE IN REAL TIME
Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to an agricultural observation and treatment system and method of operation. The agricultural treatment system may determine a first real-world geo-spatial location of the treatment system. The system can receive captured images depicting real-world agricultural objects of a geographic scene. The system can associate captured images with the determined geo-spatial location of the treatment system. The treatment system can identify, from a group of mapped and indexed images, images having a second real-word geo-spatial location that is proximate with the first real-world geo-spatial location. The treatment system can compare at least a portion of the identified images with at least a portion of the captured images. The treatment system can determine a target object and emit a fluid projectile at the target object using a treatment device.
Method and system for carbon footprint determination based on regenerative practice implementation
A system for determining regenerative carbon footprint in agricultural parcels, including: a sequestration server, having: a management processor that builds first simulation inputs that correspond to baseline management practices, and that builds second simulation inputs that correspond to regenerative management practices; a crop simulation processor, that employs the first simulation inputs to simulate crop growth for a prescribed number of growing seasons to generate first outputs, and configured to employ the second simulation inputs to simulate crop growth for the prescribed number of growing seasons to generate second outputs; and a CO2E determination processor, that employs the first outputs and the second outputs to compute baseline annual carbon dioxide emissions and regenerative annual carbon dioxide emissions, and configured to subtract the baseline annual carbon dioxide emissions from the regenerative annual carbon dioxide emissions to yield a regenerative carbon footprint for the first agricultural parcel.