Patent classifications
A01M7/0089
PEST ABATEMENT UTILIZING AN AERIAL DRONE
An aerial drone includes a pest sensor, an environmental sensor, a drone on-board computer, and a pest abatement mechanism. The pest sensor senses a pest based on emissions from the pest. The environmental sensor detects an environment of the pest. The drone on-board computer identifies a pest type of the pest based on the emission from the pest, and establishes a risk level posed by the presence of the pest based on the pest type and the environment of the pest. The pest abatement mechanism performs a pest abatement of the pest based on the pest type and the risk level posed by the presence of the pest.
SYSTEMS AND METHODS FOR SPRAYING AN AGRICULTURAL FLUID ON FOLIAGE
A system includes a fluid supply line, a plurality of nozzle assemblies positioned and oriented to spray portions of a target, and a plurality of electrically actuated valve assemblies configured to control fluid flow to the nozzle assemblies. The system also includes a controller connected in communication with the plurality of electrically actuated valve assemblies and configured to individually actuate the valve assemblies between a closed position and an open position. The controller is configured to receive an orientation of each nozzle assembly relative to the target and determine a duty cycle of each valve assembly based on the orientation of the respective nozzle assembly. The controller is configured to actuate each valve assembly based on the respective orientation to provide a desired fluid characteristic of the fluid emitted from the respective nozzle assembly.
APPARATUS AND METHODS FOR IN-FIELD DATA COLLECTION AND SAMPLING
A mobile platform structured and operable to perform: in-field phenotype and/or genotype data acquisition; image data acquisition; tissue sampling; selection and/or counting of plants growing in a plot; plant height measurement; product and treatment application to plants growing in the plot (e.g., prescriptive and localized insecticide products); sampling of soil where such plants are growing; removal of weeds in such plots; and real-time analysis of all such data and/or samples acquired/collected. Additionally, when combined with location positioning technology and path planning, such a vehicle is further structured and operable to re-enter a field numerous times throughout a season to accurately and repeatably monitor growing conditions, plant response or prescriptive application of a product.
MOISTURE AND VEGETATIVE HEALTH MAPPING
A vegetative health mapping system which creates two- or three-dimensional maps and associates moisture content, soil density, ambient light, surface temperature, and/or additional indications of vegetative health with the map. Moisture content is inferred using radar return signals of near-field and/or far-field radar. By tuning various parameters of the one or more radar (e.g. frequency, focus, power), additional data may be associated with the map from subterranean features (such as rocks, soil density, sprinklers, etc.). Additional sensors (camera(s), lidar, IMU, GPS, etc.) may be fused with radar returns to generate maps having associated moisture content, surface temperature, ambient light levels, additional indications of vegetative health (as may be determined by machine learned algorithms), etc. Such vegetative health maps may be provided to a user who, in turn, may indicate additional areas for the vegetative health device to scan or otherwise used to recommend and/or perform treatments.
Autonomous detection and control of vegetation
A method includes obtaining, by the treatment system configured to implement a machine learning (ML) algorithm, one or more images of a region of an agricultural environment near the treatment system, wherein the one or more images are captured from the region of a real-world where agricultural target objects are expected to be present, determining one or more parameters for use with the ML algorithm, wherein at least one of the one or more parameters is based on one or more ML models related to identification of an agricultural object, determining a real-world target in the one or more images using the ML algorithm, wherein the ML algorithm is at least partly implemented using the one or more processors of the treatment system, and applying a treatment to the target by selectively activating the treatment mechanism based on a result of the determining the target.
METHODS FOR IMPROVED AGRICULTURAL PROCEDURES
Various apparatus and procedures for agricultural operations are provided. In particular, in one embodiment, methods for determining the precise location of each seed planted and using the seed planting location data to improve post-planting operations are provided. In another embodiment, apparatus and methods for determining the location of wet zones in an agricultural field and using the wet zone location data to plan an optimal path through the field to avoid wet areas are provided. In another embodiment, methods for tendering seed and chemical inputs for an agricultural operation are provided. In another embodiment, dynamic path planning methods of an autonomous agricultural vehicle are provided. In another embodiment, methods of planting end rows in an agricultural field are provided. In another embodiment, methods for planting multiple seed varieties in an agricultural field are provided.
HYDRAULIC SPRAY NOZZLE
A hydraulic spray nozzle for an agricultural implement includes at least one of a bleed valve and an annular valve. The bleed valve is configured to control flow of a bleed portion of the liquid provided to the nozzle for spraying. The bleed portion can be routed back to a supply tank for later use. The bleed valve can be an annular valve. A spray valve within the nozzle can also be an annular valve.
AGRICULTURAL MACHINE HAVING IMPROVED SUSPENSION
The invention relates to an agricultural apparatus (1) for spreading material such as fertilizer, plant protection products or seed, comprising a distributor linkage (10) which can be folded on both sides, comprising a central part (11), where the central part (11) is connected in a rotationally fixed manner to the agricultural apparatus (2), two intermediate frames (12a,b) connected to the central part (11), in particular by joints, two lateral booms (13a,b) connected to the respective intermediate frames (12a,b), a first hydraulic actuating device (14) which connects a first of the intermediate frames (12a) to the central part (11), where the respective first boom (13a) can be moved by way of the first hydraulic actuating device (14) about a first axis of rotation (h1) pointing in the direction of travel of the agricultural apparatus (1), and a second hydraulic actuating device (15), where the respective second arm (13b) can be moved by way of the second hydraulic actuating device (15) about a second axis of rotation (h2) pointing in the direction of travel of the agricultural apparatus (1).
Spray pattern of nozzle systems
A system and method for dispersing fluids from an agricultural vehicle includes a sprayer that dispenses the fluids and a controller cooperative with a plurality of sensors to sense vehicle travel speed, vehicle travel direction, wind speed, wind direction, and the heights of first and second nozzles from the ground surface. The controller includes a memory storing a look-up table having fan angles of the first and second nozzles, and a processor that computes first and second spray pattern on the ground surface based on the fluid dispensed through the respective first and second nozzles. The processor determines an overlap region between the first and second spray patterns, compares the determined overlap region with a pre-determined overlap, and takes corrective action automatically by changing travel speed of the vehicle or changing a duration of time the fluids are dispensed from the first and second nozzles.
SYSTEMS AND METHODS FOR MONITORING A LEVEL OF HYDRAULIC FLUID IN AN AGRICULTURAL SPRAYER
In one aspect, a system for monitoring a level of hydraulic fluid in an agricultural sprayer includes a drive system, a hydraulic fluid system, and a fill level sensor. The system also includes a computing system communicatively coupled to both the drive system and the fill level sensor. The computing system is configured to monitor the level of hydraulic fluid within the hydraulic fluid reservoir based on data received from the fill level sensor. The computing system is further configured to detect a leak condition in the hydraulic fluid system based at least in part on the monitored level of the hydraulic fluid within the hydraulic fluid reservoir and control an operation of the drive system to reduce the ground speed of the agricultural sprayer in response to detecting the leak condition.