1528results about "Weed killers" patented technology

A pest control system is disclosed comprising an optical, computational, and monitoring subsystem, optionally mounted on a mobile platform. The optical system may include a neutralizing laser or multi-wavelength light source, discovery and detail cameras (optionally stereo), a beam-steering mechanism, tunable focus, and optional thermal or depth sensors. The processor, such as a GPU or FPGA, identifies insect or biological targets, adjusts laser focus by depth, and controls beam activation. A monitoring system verifies safety by detecting humans or other non-target entities using environmental and thermal cameras; if detected, laser firing is inhibited. The mobile platform may use wheels, propellers, tracks, or cables, with GPS and data links for remote control. A visible light pre-flash may induce a blink reflex before firing. In some embodiments, a scouting drone transmits target coordinates to the neutralization unit, enabling coordinated, efficient, and safe laser-based pest control.

Disclosed herein are methods, devices, modules, and systems which may be employed for accurate targeting of objects. A method of point-to-point targeting may be implemented by systems with two or more sensors to locate an object and coordinate a handoff between the two or more sensors. These methods, devices, modules, and systems may be used for automated crop cultivation or maintenance. Devices disclosed herein may be configured to locate, identify, and autonomously target a weed with a beam, such as a laser beam, which may burn or irradiate the weed. The methods, devices, modules, and systems may be used for agricultural crop management or for at-home weed control.

The invention relates to the technical field of agricultural mechanical equipment, and provides a laser weeding method of a weeding robot and the laser weeding robot, the weeding method comprises the following steps: obtaining weed information, and selecting a weeding mode based on the weed information; laser parameters are adjusted based on the selected weeding mode, and path planning is carried out; controlling the weeding robot to advance according to the planned path, controlling the laser beam to align with weeds to perform weeding operation, and continuously feeding back the real-time position of the laser beam; and comparing the real-time position with a predetermined target position, and maintaining the current position or adjusting the current position based on a comparison result. According to the method, the laser parameters can be adjusted based on the weeding mode, the path can be planned, and the mode can be suitable for various complex weeding environments and can adapt to the weeding environments better, so that weeds are accurately and rapidly removed.

An agricultural treatment system can include a laser light source, a redirection component, an exit component, and safety component(s). The laser light source can emit a laser beam within the system in a first direction. The redirection component can be a mirror that can receive the laser beam and redirect it in a second direction toward an agricultural target object outside the system. The exit component can transition the laser beam from within to outside the system and toward the agricultural target object. Safety component(s) can facilitate maximizing the strength of the laser beam at or proximate the agricultural target object while also reducing the strength of the laser beam at locations away from the agricultural target object. Safety component(s) can include a converging lens and a diverging lens, which can be adjusted to locate a focal point of the laser beam at or proximate the agricultural target object.

A change of state of weed seeds to having reduced germination viability in under one minute by illuminating a seed with at least one of 2 J / cm2 cumulative illumination energy, and 0.2 W / cm2 irradiance, but no more than 7 W / cm2 average irradiance, of at least one of an Indigo Region Illumination Distribution (IRID), and infrared radiation that is substantially Medium Wavelength Infrared (MWIR) radiation, preferably 2-8 microns. The MWIR radiation from heated borosilicate glass or glass powder at just under 500 C offered a peak MWIR emission of 3.75 microns was unexpectedly effective, and can be used in a radiant and transmissive weed seed accumulator transport belt. The process can be incorporated into a harvester combine to convert a tailings flow prior to discharge on an agricultural field. An illuminated harvest combine using an illuminator according to the invention allows reduction of the weed seed bank.

The present invention discloses a vibration mechanical weeding device based on machine vision, which relates to the field of agricultural machinery, and is specifically applied to intelligent field weeding of various crops in the agricultural field. The device consists of a three-point suspension, a body, a visual part, and an actuator. The device can be applied to weeding operations of various crops in different growth cycles. At the same time, the present invention adopts the traditional three-point suspension and hanging method of agricultural machinery, can be carried on various field walking platforms, and can adapt to various complex field environments. The device applies machine vision technology, deploys a visual recognition system on the device, and controls the terminal actuator to avoid seedlings and weed after identifying and locating seedlings and grass through a camera. At the same time, the device innovatively adopts a method of using a vibrating tooth comb to break the soil and bring the grass to the soil surface, which minimizes the damage to the ridge platform, and at the same time has the effect of loosening the soil, reducing the amount of chemical herbicides, protecting the ecological environment, improving the weeding efficiency, and reducing the weeding seedling injury rate.

Methods, devices, and systems, that relate to mechanization of agricultural tasks, including a robotic tool carrier configured to be mounted on a tractor or other type of vehicle and employing imaging and artificial intelligence to perform agricultural tasks, such as pruning, cutting vegetables, or weeding crops.

One variation of a method for executing agricultural actions on an agricultural field includes: based a type of a crop planted on the agricultural field and a maturity of the crop, setting a nominal blade gap width of a weeding module installed in an autonomous agricultural vehicle; and, at the autonomous agricultural vehicle, while autonomously traversing the agricultural field, detecting a first target plant passing under the autonomous agricultural vehicle and aligned with the weeding module, triggering the weeding module to open a set of weeding blades to the nominal blade gap width at a nominal blade speed in response to the first target plant approaching the weeding module, and triggering the weeding module to close the set of weeding blades in response to the first target plant passing the weeding module.

The present invention relates to the field of image recognition. Provided are a farmland weed detection method and system, and an electronic device. The detection method comprises: collecting a target image containing weeds in farmland; using YOLOv8 based on a RevColNet backbone network to construct a weed detection model, and performing weed recognition on the basis of the weed detection model; and performing precise removal of the weeds. The defects in farmland weed recognition in the prior art of various information of weeds being inadequately described, high recognition accuracy being difficult to obtain, and there being problems such as relatively high calculation complexity, a large number of model parameters and a relatively large model scale are alleviated. The solution in the present application provides a YOLOv8-based improved model, which can more precisely recognize weeds in farmland, and has lower calculation complexity and higher weed recognition efficiency.

The invention relates to a method for passive arc suppression in an electrical treatment of plants, comprising the step: (S400) Applying a pulse-width modulated direct electrical current (I) to the plants.

The invention discloses a system for accurately removing abnormal plants in rice breeding based on intelligent image recognition, and relates to the field of agricultural intelligent equipment.The system comprises an image acquisition module, an abnormal plant detection module and an impurity removal control module, the preprocessing module is used for preprocessing rice field plant images and transmitting the preprocessed rice field plant images into the abnormal plant detection module, the abnormal plant detection module is used for analyzing and processing the rice field plant images and identifying to-be-processed abnormal plants, and the impurity removal control module is used for receiving the positions of the to-be-processed abnormal plants and controlling the impurity removal structure to remove impurities.

The invention provides pulling-out type farmland weeding equipment, and relates to the technical field of weeding equipment.The pulling-out type farmland weeding equipment comprises a movable frame, an adjusting component is arranged in the movable frame, a weeding mechanism is arranged below the adjusting component, the weeding mechanism comprises an outer shell, a lifting component is arranged in the outer shell, and an inner shell is rotationally connected to the bottom end of the outer shell; a motor drives a lead screw to rotate, so that an inner disc and an outer disc vertically move downwards in the direction of the lead screw, when a vertical plate moves downwards, the bottom face of the vertical plate and an outer inclined block correspondingly extrude, the bottom ends of the buckets rotate and converge towards the middle, magnetic protruding blocks pop out under the action of springs A to be clamped into T-shaped grooves, and after the bottom ends of the four buckets converge towards the middle, the magnetic protruding blocks are clamped into the T-shaped grooves. The arc-shaped groove is matched with the spring rod to be in contact and abut against the spring rod to drive the whole to rotate, so that corresponding root soil below grass is completely shoveled up, then the motor rotates reversely to complete lifting and pulling-out work, and finally the purposes of thoroughly cutting off and turning out the root of the weed and avoiding regeneration caused by breakage of the root during straight lifting are achieved.

Disclosed herein are methods, devices, modules, and systems that can be used to accurately track and subsequently target objects of interest relative to a moving body, such as a vehicle. The object tracking methods can be implemented by a detection system in which a sensor is coupled to the moving body. The targeting system can be used to target objects tracked by the detection system, such as for automating crop cultivation or maintenance. The devices disclosed herein can be configured to locate, identify, and autonomously target weeds with a beam, such as a laser beam, that can burn or irradiate the weeds. These methods, devices, modules, and systems can be used for agricultural crop management or home weed control.

A computer-implemented method for selectively applying at least one crop protection product onto an agricultural field (40), comprising the following steps: —providing image data of at least a part of an agricultural field (40) which is to be treated with a crop protection product; —providing a crop planting row identification model (63) configured to identify crop planting rows (42) in the image data of the at least one part of the agricultural field (40); —providing a weed plant detection model (65) configured to detect weed plants (46) between the identified crop planting rows (42); —providing a crop and weed detection model (67) configured to detect crop plants (41) and weed plants (46) in the identified crop planting rows (42); —applying a first crop protection product (44) onto a weed plant (46) detected between the identified crop planting rows (42); —applying the first crop protection product (44) onto a weed plant (46) detected in the identified crop planting rows (42), if a distance between the weed plant and an adjacent crop plant is larger than a dynamic determined rows minimal distance.

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.

The invention discloses an agricultural robot laser strike positioning method and device based on a virtual mapping surface, and the method comprises the following steps: S1, constructing a virtual mapping surface for the projection of a coordinate system of a visual system through a calibration board in a to-be-operated scene, establishing a mapping function between projection coordinates on the virtual mapping surface and instruction coordinates of the laser galvanometer through data fitting; s2, dynamically compensating target coordinates acquired in real time according to a built-in attitude sensor of the visual system; and S3, projecting the target coordinate after dynamic compensation to the virtual mapping surface, converting the target coordinate into a preliminary instruction coordinate of the laser galvanometer according to the mapping function, and performing dynamic compensation on the preliminary instruction coordinate to obtain a final instruction coordinate to control the laser galvanometer to act. The calibration process is simple, the coordinate conversion calculation amount is small, and fluctuation generated in the robot movement process can be dynamically compensated to ensure the positioning accuracy.

The invention discloses an intelligent weeding control method of a laser weeding robot and the laser weeding robot. The method comprises the steps that ground images are collected through a binocular depth camera, and weeds and seedlings are recognized; judging the relationship between the actual density of the inter-plant weeds and a preset density threshold value; when the actual density is greater than a preset threshold value, setting a first target speed to run the laser weeding robot, and planning a strike path based on the weed position to execute point descending type strike; and when the actual density is smaller than or equal to the preset threshold value, setting a second target speed for operation and starting a surface scanning mode to cover the high-density weed area. Dynamic matching of speed grading and strike strategies is achieved through a density threshold decision mechanism, the weeding rate is guaranteed, meanwhile, the operation efficiency is optimized, the problems of low-density working condition energy waste and high-density working condition clearing efficiency reduction are solved, and the adaptability of a farmland with complex weed distribution is comprehensively improved.

A method for spraying an agricultural field using a spray system that includes a spray boom attached to an agricultural vehicle and including cameras and broadcast nozzles, the agricultural vehicle having a tank that stores a residual herbicide. The method includes capturing images of regions of the agricultural field, each camera associated with one or more broadcast nozzles; automatically analyzing, with a trained machine learning (ML) model, each image for target weed(s); automatically detecting the target weed(s) in one or more images; for each image in which the target weed(s) is detected, automatically spraying first region(s) with one or more first broadcast nozzles at an increased application rate compared to a default application rate; and for at least some of the images in which the at least one weed is not detected, automatically spraying second region(s) with the one or more second broadcast nozzles at the default application rate.

The invention provides a self-adaptive weeding robot, and relates to the technical field of agricultural intelligent equipment. The self-adaptive weeding robot comprises a robot body, a lifting type moving platform, a self-adaptive weeding platform, an intelligent sensing system and an energy management platform. Wherein the lifting type mobile platform is connected with the robot main body; the self-adaptive weeding system comprises a weeding module, a laser weeding module and a grass shoveling and raking module, and one or more of the weeding module, the laser weeding module and the grass shoveling and raking module are detachably connected with the robot body; the intelligent sensing system comprises a depth camera, a laser radar, an antenna, a GPS positioner and an ultrasonic sensor. The depth camera, the laser radar, the antenna, the GPS positioner and the ultrasonic sensor are all connected with the robot body. The energy management platform is connected with the robot body. The self-adaptive weeding robot can adapt to height changes of crops in different growth stages, and is high in weeding accuracy, good in weeding effect, high in weeding efficiency and low in labor cost.

The invention discloses an integrated removal and treatment method for spartina alterniflora in a mudflat wetland. The integrated removal and treatment method sequentially comprises the steps that a construction operation area is divided; mowing the spartina alterniflora for more than three times in the construction operation area, and airing the crushed straws; performing anaerobic landfill on the straws into the first landfill ditch; carrying out more than two times of root system ploughing on the construction operation area which is already cut; a second landfill ditch with the depth not smaller than two meters is dug, and the ploughed spartina alterniflora root system is placed into the second landfill ditch; and covering soil and compacting the second landfill ditch. According to the method, the formation of mature seeds of the spartina alterniflora can be effectively prevented, the sexual propagation path of the spartina alterniflora can be effectively cut off, the surface of the first landfill ditch after landfill is no longer suitable for growth of the spartina alterniflora, mowing and ploughing are carried out in different areas at the same time, the spartina alterniflora is prevented from sprouting again, the treatment efficiency of the wetland spartina alterniflora is further improved, and the economic benefit is increased. Vegetative propagation of spartina alterniflora is avoided, repeated treatment of spartina alterniflora is avoided, and the treatment cost of spartina alterniflora is reduced.

Various embodiments of apparatuses, methods, systems, and computer program products described herein are directed to a treatment system having a first group of in line emitters, a second group of in line emitters, and one or more payload sources, configured to identify a first group of one or more agricultural objects, select a first emitter from the first group of in line emitters to apply a first liquid-based treatment to the identified first group of one or more agricultural objects, identify a second group of one or more agricultural objects, select a second emitter from the second group of in line emitters to apply a second liquid-based treatment to the identified second group of one or more agricultural objects, simultaneously apply the first liquid-based treatment towards the first group of one or more agricultural objects and apply the second liquid-based treatment towards the second group of one or more agricultural objects.

The present invention discloses an ecological garden engineering land preparation device and a land preparation method, which includes a vehicle frame. A crushing cylinder is fixed on the vehicle frame. A feeding hopper is arranged above the crushing cylinder. A turning door is hinged below the crushing cylinder. The lower part of the turning door is hinged to a crushing rod. A crushing knife is fixed at the bottom of the crushing rod. A horizontal conveying cylinder and an inclined conveying cylinder are fixed on the vehicle frame at the front side of the crushing cylinder. A tooth harrow is fixed at the bottom of the rear side of the inclined conveying cylinder. A crushing knife and a suction fan are arranged inside the crushing cylinder. A tip is fixed on the crushing rod. The bottom of the horizontal conveying cylinder is connected to a rotary tiller through a lifting rod. A leveling plate is arranged at the rear wheel; by providing a crushing cylinder, a horizontal conveying pipe, an inclined conveying pipe, a tooth harrow, a crushing knife, a suction fan, a feeding hopper, a turning door, a crushing rod, a transition cylinder, a rotary tiller, and a flow channel and a nozzle are arranged inside the crushing rod. The grass stems are collected before plowing the land, which not only avoids the grass stems being wound around the rotary tiller and affecting the effect of the rotary tiller, but also can crush and mix the grass stems and fertilizers at the same time, with strong functionality and simplified land preparation process.

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.

Electrical apparatus to kill a plant or at least attenuate plant growth, the apparatus comprising: an electrical energy supply unit; an applicator unit comprising an applicator electrode; a return unit comprising a return electrode; electrical circuitry; the electrical energy supply unit arranged to apply electrical energy through a transmission circuit comprising the applicator electrode, a plant, and the return electrode, the electrical circuitry implemented to: determine if a temperature of the apparatus has crossed a temperature threshold, and; determine if one or more electrical properties of the electrical energy has crossed an associated electrical property threshold(s); and if either the temperature or the one or more electrical properties has crossed the respective temperature threshold or electrical property thresholds, then to control one or more electrical properties of the of the electrical energy to reduce the temperature and / or electrical property that has exceeded the threshold.

Disclosed herein are methods, devices, modules, and systems which may be employed for automated weed identification, control, and eradication. These methods, devices, modules, and systems provide an alternative to hand cultivation or chemical herbicides. Devices disclosed herein may be configured to locate, identify, and autonomously target a weed with a beam, such as a laser beam, which may burn or irradiate the weed. The methods, devices, modules, and systems may be used for agricultural crop management or for at-home weed control.

A maintenance of way system having a vehicle is described herein. The vehicle may include an emitter adjustable to selectively focus on a targeted feature within an operating vicinity of the vehicle a control circuit communicatively coupled to the emitter. The control circuit may determine a parameter associated with the operating vicinity of the vehicle, detect the targeted feature based, at least in part, on the parameter, adjust the emitter to selectively focus the emitter with respect to the targeted feature, and cause the emitter to direct an emission toward the targeted feature while sparing non-targeted features within the operating vicinity.

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.

The invention provides an economical large-breadth blue light laser weeding device with a compact structure. The device comprises a 450nm semiconductor laser (1), a collimation focusing lens module (2), an X-Y scanning galvanometer (3), a pseudo coaxial structural member (6), a dichroscope (7) and a CCD camera (8), the 450nm semiconductor laser, the collimating and focusing lens module and the X-Y scanning galvanometer are sequentially fixed together through connecting pieces, zero deflection and maximum deflection of a laser beam correspond to a central and angular beam (4) during operation, and an area which can be scanned by the blue laser beam is an irradiation surface (5); the dichroscope is mounted right below the X-Y scanning galvanometer at an angle of 45 degrees through the pseudo coaxial structural member; the CCD camera is installed below the 450nm semiconductor laser through a pseudo-coaxial structural member, and the CCD camera is matched with a lens to meet the requirement that the field of view is larger than the irradiation surface of the laser. The device has the advantages of being high in response speed and precision, large in weeding area, low in cost, small in size, convenient to integrate and the like.

The invention discloses an automatic calculation and compensation method and system for dynamic strike delay of a laser weeding robot, and belongs to the technical field of agricultural intelligent equipment.The method is achieved through the following steps that in the static calibration stage, a laser galvanometer, a camera and collaborative parameters of the laser galvanometer and the camera of a robot system are corrected; laser scanning nonlinear errors, camera imaging distortion errors and pose and mapping errors between a galvanometer coordinate system and a camera coordinate system are eliminated; in the dynamic testing stage, the robot advances at a constant speed, laser striking is conducted on the wood chips with preset marks, and the position deviation between an actual striking point and a theoretical target point is obtained through the image recognition technology; reversely deducing system delay time based on the deviation and the speed of the robot, and iteratively updating compensation parameters; finally, after the iterative optimization strike deviation is smaller than the set precision, the compensation parameters are solidified to a control system; the method is suitable for a laser weeding robot and other dynamic visual striking systems.

For each of a plurality of spray nozzles of an autonomous agricultural vehicle, a set of instructions provided by the autonomous agricultural vehicle to the spray nozzle is accessed. Each instruction in the set is generated by analyzing a respective image of a portion of a geographic area captured by the autonomous agricultural vehicle. A spray performance of at least one spray nozzle from among the plurality of spray nozzles is identified as an outlier by analyzing the sets of instructions respectively provided to the plurality of spray nozzles. An action with respect to the at least one spray nozzle identified as the outlier is performed. The action may be to place the vehicle in fallback state in which a targeted spray may be switched to broadcast spray.