Patent classifications
A01M9/0092
Determining a weed percentage and agricultural control device
The present disclosure relates to agriculture. The teachings thereof may be embodied in methods to determine a percentage of weeds and/or control device. For example, a method for determining a weed percentage in an observation section of a field may include: acquiring actual spectral information using an optical observation section sensor aimed at the observation section; acquiring reference spectral information using an optical reference sensor aimed at a reference section of the same ground area; determining a difference between the actual spectral information and the reference spectral information; and mapping the difference to the weed percentage using predefined mapping.
SYSTEM AND METHOD FOR DISPENSING MULTIPLE LOW RATE AGRICULTURAL PRODUCTS
A system for dispensing multiple low rate agricultural products, includes an agricultural product metering system, a number of agricultural product tubes, and an agricultural product metering system. The agricultural product metering system is operably connected to sources of low rate agricultural products. The agricultural product tubes are operatively connected to the agricultural product metering system. The agricultural product metering system is configured to dispense liquid low rate agricultural products at a low rate defined as below 3.7 fluid ounces per 1000 row feet.
SYSTEMS AND METHODS FOR SELECTIVE MATERIAL PLACEMENT
Furrows can be opened in a field. Seeds can be delivered to the furrows in the field at different locations in the field. The locations of the seeds in the field can be identified using different types of processing. The different types of process can include event-based processing or frequency-based processing. A material is applied to the field, based upon the seed locations.
System and method for controlling machinery for randomizing and replicating predetermined agronomic input levels
A controller is operatively connected to a dispensing system and configured to change the dispensement of an agricultural input from the dispensing system in different predetermined locations within at least one predefined test plot in a management zone of an agricultural field. The predetermined locations have been randomized and replicated for quantifying the agronomic response in a statistically valid manner.
SYSTEM AND METHOD FOR DISPENSING AGRICULTURAL PRODUCTS WHILE SYNCHRONIZING SEED PLACEMENT
A system for dispensing agricultural products includes at least one source of agricultural product; at least one agricultural product tube, a seed sensing device, a metering system, and a sensor assembly. At least one agricultural product tube is connected to the source of agricultural product. The seed sensing device is configured to control the delivery of the agricultural product. The metering system is coupled to at least one agricultural product tube and to the seed sensing device and is configured to synchronize the placement of agricultural product relative to the placement of seed. A sensor assembly includes a signal conditioning circuit. The signal conditioning circuit is configured to provide an output signal representing an indication of the presence of the agricultural product. At least one seed for use in determining the synchronized placement of seed and the agricultural product in correct proximity with one another in a seed furrow.
Tagged Container Tracking
A system and method that automatically monitors product use, such as the type and amount of agricultural and/or horticultural product stored in and dispensed from a cartridge over time and/or by geographic location. Monitored data are stored in memory such as a tag on the cartridge and may be transmitted to a server for storage, aggregation, and analysis. The cartridge may be authenticated before being authorized for use for the benefit of a current user in dispensing the product. The cartridge may be refilled after confirmation of authorization codes on the cartridge and refilling equipment tags. The cartridge may be calibrated automatically based on the bulk density or other parameter of the product in the cartridge. Data may be aggregated from a plurality of cartridges automatically. As-applied data from individual cartridges may be used to verify, independent of operator input, treated area coverage and product application rate.
SYSTEMS, METHODS, AND APPARATUS FOR MULTI-ROW AGRICULTURAL IMPLEMENT CONTROL AND MONITORING
Systems, methods and apparatus are provided for monitoring and controlling an agricultural implement, including seed planting implements. Systems, methods and apparatus are provided for detecting seeds being conveyed by seed conveyor. Systems, methods and apparatus are provided for monitoring and controlling deposition of secondary crop inputs such as fertilizer and insecticide.
Systems, methods and apparatus for multi-row agricultural implement control and monitoring
Systems, methods and apparatus are provided for monitoring and controlling an agricultural implement, including seed planting implements. Systems, methods and apparatus are provided for detecting seeds being conveyed by seed conveyor. Systems, methods and apparatus are provided for monitoring and controlling deposition of secondary crop inputs such as fertilizer and insecticide.
SYSTEMS, METHODS AND APPARATUS FOR MULTI-ROW AGRICULTURAL IMPLEMENT CONTROL AND MONITORING
Systems, methods and apparatus are provided for monitoring and controlling an agricultural implement, including seed planting implements. Systems, methods and apparatus are provided for detecting seeds being conveyed by seed conveyor.
Detection and precision application of treatment to target objects
A method performed by a treatment system disposed on a moving platform, the treatment system having one or more processors, a storage and a treatment mechanism, comprising: receiving one or more images of an environment in which the moving platform is operating; identifying, in real-time, a pose of the moving platform using sensor inputs; identifying one or more target objects by processing the one or more images using a machine learning (ML) algorithm; and controlling the treatment mechanism to treat the one or more target objects by orienting the treatment mechanism towards the one or more target objects at least partially based on the pose.