A01M21/02

Robotic Toxicodendron weeding

A system includes a memory having instructions therein and at least one processor in communication with the memory. The at least one processor is configured to execute the instructions to acquire phytomorphological field data via a sensor component of a mobile robot, generate, based on the phytomorphological field data and via a machine learning agent, a predicted likelihood of whether a hypothetical action by the mobile robot against a found plant would be directed against a true Toxicodendron plant, conduct a non-phytomorphological assessment of the found plant via the mobile robot and based on the predicted likelihood being below a first threshold and above a second threshold, and, via the mobile robot and based on the non-phytomorphological assessment, attack the found plant, mark a site of the found plant, and/or document a context of the site.

Robotic Toxicodendron weeding

A system includes a memory having instructions therein and at least one processor in communication with the memory. The at least one processor is configured to execute the instructions to acquire phytomorphological field data via a sensor component of a mobile robot, generate, based on the phytomorphological field data and via a machine learning agent, a predicted likelihood of whether a hypothetical action by the mobile robot against a found plant would be directed against a true Toxicodendron plant, conduct a non-phytomorphological assessment of the found plant via the mobile robot and based on the predicted likelihood being below a first threshold and above a second threshold, and, via the mobile robot and based on the non-phytomorphological assessment, attack the found plant, mark a site of the found plant, and/or document a context of the site.

SOIL CULTIVATOR
20230320243 · 2023-10-12 ·

A soil cultivator for mechanical weed control between rows of cultivated plants includes a frame attachable to a tractor for movement along a traveling direction, and at least one soil processing unit attached to the frame. The at least one soil control unit includes a deformable sub-frame made of an elastic material. The soil cultivator further comprises a first adjusting means connected to the deformable sub-frame via at least one first connecting element, and a second adjusting means connected to the deformable sub-frame via at least one second connecting element. At least one adjusting unit is provided for carrying out a movement of the first and the second adjusting means, such that the deformable sub-frame is elastically deformable by the movement of the first and the second adjusting means such that the extent of the deformable sub-frame changes transversely to the traveling direction.

A method for operating an agricultural machine having working tools configured for mechanical weeding and agricultural machine

A method for operating an agricultural machine having working tools configured for mechanical weeding including receiving in a control unit first weed condition data indicative of a first weed condition of weed to be mechanically weeded by the working tools; providing first control signals in response to receiving the first weed condition data, the first control signals assigned to the first weed condition according to operation control data stored in a memory device; operating the working tools according to the first control signals; receiving second weed condition data indicative of a second weed condition of the weed to be mechanically weeded; providing second control signals in the control unit in response to receiving the second weed condition data, the second control signals assigned to the second weed condition according to the operation control data; and operating the working tools according to the second control signals for mechanical weeding.

A method for operating an agricultural machine having working tools configured for mechanical weeding and agricultural machine

A method for operating an agricultural machine having working tools configured for mechanical weeding including receiving in a control unit first weed condition data indicative of a first weed condition of weed to be mechanically weeded by the working tools; providing first control signals in response to receiving the first weed condition data, the first control signals assigned to the first weed condition according to operation control data stored in a memory device; operating the working tools according to the first control signals; receiving second weed condition data indicative of a second weed condition of the weed to be mechanically weeded; providing second control signals in the control unit in response to receiving the second weed condition data, the second control signals assigned to the second weed condition according to the operation control data; and operating the working tools according to the second control signals for mechanical weeding.

AUTONOMOUS GROUND SURFACE TREATMENT SYSTEMS, VEHICLES, AND METHODS

A ground surface treatment vehicle and systems and methods using the same. In some embodiments, the vehicle may be adapted to autonomously or semi-autonomously identify and optionally treat target areas such as divots on turf surfaces. The vehicle may identify the target area via onboard or remote sensors and autonomously treat the target area by providing a treating material such as infill, seed, particulate matter, and liquids.

Identifying and avoiding obstructions using depth information in a single image

A farming machine includes one or more image sensors for capturing an image as the farming machine moves through the field. A control system accesses an image captured by the one or more sensors and identifies a distance value associated with each pixel of the image. The distance value corresponds to a distance between a point and an object that the pixel represents. The control system classifies pixels in the image as crop, plant, ground, etc. based on depth information in in the pixels. The control system generates a labelled point cloud using the labels and depth information, and identifies features about the crops, plants, ground, etc. in the point cloud. The control system generates treatment actions based on any of the depth information, visual information, point cloud, and feature values. The control system actuates a treatment mechanism based on the classified pixels.

Configurable nozzle assembly and methods of same

A configurable nozzle includes a nozzle body having a reception chamber configured to receive an application mixture. The nozzle body includes a nozzle orifice. At least one orifice assembly is coupled with the nozzle body, the at least one orifice assembly includes an orifice plate movably coupled with the nozzle body. The orifice plate extends along at least a portion of the nozzle orifice, and movement of the orifice plate changes one or more of the size or shape of the nozzle orifice. An orifice actuator is coupled with the orifice plate, and the orifice actuator is configured to move the orifice plate.

Treatment method for a river system in a reservoir area and treatment system

A treatment method for a river system in a reservoir area, comprising: S1. determining whether a time from a current date to the rainy season is less than a preset duration; S2. moving a pressure sensor upward; S3. determining whether the pressure data meets corresponding conditions; S4. determining whether a duration of the pressure data is less than the preset duration; S5. determining whether an interval between the current time and the time for collecting pressure/nitrogen and phosphorus is greater than a preset number of days; S6. acquiring an image information of a river bottom, and sending it to neural network model for identification to obtain a depth of a sludge; S7. determining whether the depth of a sludge has reached a dredging depth, if so, starting a sludge pump to clean up; S8. collecting nitrogen and phosphorus concentration, and removing nitrogen and phosphorus when the concentration exceeds a standard.

Treatment method for a river system in a reservoir area and treatment system

A treatment method for a river system in a reservoir area, comprising: S1. determining whether a time from a current date to the rainy season is less than a preset duration; S2. moving a pressure sensor upward; S3. determining whether the pressure data meets corresponding conditions; S4. determining whether a duration of the pressure data is less than the preset duration; S5. determining whether an interval between the current time and the time for collecting pressure/nitrogen and phosphorus is greater than a preset number of days; S6. acquiring an image information of a river bottom, and sending it to neural network model for identification to obtain a depth of a sludge; S7. determining whether the depth of a sludge has reached a dredging depth, if so, starting a sludge pump to clean up; S8. collecting nitrogen and phosphorus concentration, and removing nitrogen and phosphorus when the concentration exceeds a standard.