1174 results about "Weed" patented technology

The invention discloses a corn field weed detection method and device based on improved YOLOv11. The method comprises the following steps: acquiring and constructing a weed image data set for model training; replacing a backbone network of the YOLOv11n baseline network with a double-flow visual network, and taking the replaced network as a first optimized network; replacing the original pyramid pooling module with an enhanced receptive field module at the tail end of the backbone network of the first optimized network to obtain a second optimized network; in a neck feature fusion layer of the second optimization network, a self-adaptive context guide fusion module is used for replacing traditional splicing, and a third optimization network is obtained; and taking the third optimization network as a final lightweight high-precision weed detection model DEA-YOLO11, and detecting field weeds based on the model. According to the method, the problem of low detection precision caused by insufficient global context sensing capability, fine-grained feature loss and low multi-scale feature fusion efficiency of a weed detection model in a complex agricultural scene in the prior art is solved.

The invention discloses an ecological planting method for remarkably improving the amino acid content of citrus, which comprises the following steps: (1) mixing and fermenting pruned citrus branches, weed straws, livestock and poultry manure and indigenous probiotic ferment powder to prepare a basic microbial fertilizer, and adding a calcium magnesium phosphate fertilizer and monopotassium phosphate to prepare a special microbial fertilizer for citrus, applying as a base fertilizer in winter; (2) after citrus pruning, in key phenological periods such as a flower bud period, a young fruit period and a fruit swelling period, an indigenous probiotic enzyme diluent with a specific dilution ratio is used for systematic foliage spraying on a tree body. The indigenous probiotic enzyme contains bacillus amyloliquefaciens, saccharomycetes, active enzymes and a plurality of nutrient elements. The method can significantly increase the total amino acid content of citrus fruits, greatly increase the yield, improve the taste of the fruits, enhance the tree body resistance, reduce the use of chemical pesticides, improve soil, and realize quality improvement, yield increase and green sustainable development of citrus planting.

The invention relates to the technical field of agricultural equipment, and discloses a peanut film mulching hole-free seeder which comprises an integrated frame, and a connecting frame is arranged at the front end of the integrated frame and used for being connected with a traction machine in a hanging mode; according to the device, a weakening point is accurately preset on a mulching film through a liftable micro hot needle, the traditional manual or mechanical hole breaking is replaced, a hole-free seeding mode of one hole and one point is realized, and the hole-free seeding efficiency is greatly improved. According to the method, the complex procedure of manual film breaking is avoided, the labor intensity is reduced, through the controllable design of the weakening points, it is ensured that peanut seedlings naturally break the mulching film, damage to roots is reduced, the emergence rate and the survival rate are increased, and meanwhile the problem of weed breeding or soil moisture loss caused by too large broken holes is effectively solved.

The utility model relates to the field of gardening tools, and particularly discloses a grass trimming head and a grass trimmer, and the grass trimming head comprises a machine shell, a motor installed in the machine shell, a grass trimming head assembly installed on one side of the machine shell and provided with rotation driving force by the motor, a motor support arranged on one side of the machine shell, and a separator arranged between the machine shell and the grass trimming head assembly. The rotating piece is installed on the inner side of the isolation piece, the isolation piece is a fan blade cover, the rotating piece is fan blades, a cutting piece is installed on the fan blade cover, and the isolation piece can guide heat dissipation airflow and can isolate and protect the fan blades at the same time. An air outlet is formed in the fan blade cover, and in the rotating process of the fan blades, air flow generated by the fan blades can be blown out from the inner side of the isolation piece to the outer side of the isolation piece through the air outlet; in the rotating process of the fan blades, the cutting piece can cut weeds on the inner side of the isolation piece, the cut weeds can be blown to the outer side of the isolation piece through airflow generated by the fan blades, and the problem that the weeds enter the grass trimming head to be wound around a line can be effectively solved.

The invention relates to the technical field of agricultural intelligent equipment, in particular to intelligent monitoring and weeding equipment for gramineous weeds in a winter wheat field, and aims to solve the technical problem of high missing detection rate and false detection rate of a traditional visual identification method caused by similar forms of winter wheat and gramineous weeds in a seedling stage. The equipment comprises an autonomous mobile platform, a multi-mode sensing assembly, a data processing and decision-making unit and a targeted clearing execution mechanism. The multi-mode sensing assembly integrates a hyperspectral imaging module, a three-dimensional shape measurement module and a polarization characteristic analysis module, and pixel-level data registration is achieved in combination with the cooperative illumination system. The data processing unit performs high-confidence classification decision on the multi-source features through a hierarchical Bayesian fusion model; and the targeted clearing mechanism adopts a laser galvanometer system to carry out non-contact precise clearing on the identified weed growing points. Intelligent identification and efficient physical weeding of weeds in the winter wheat field are achieved, and the method has the advantages of being free of chemical residues and high in operation continuity.

A plant treatment platform uses a plant detection model to detect plants as the plant treatment platform travels through a field. The plant treatment platform receives image data from a camera that captures images of plants (e.g., crops or weeds) growing in the field. The plant treatment platform applies pre-processing functions to the image data to prepare the image data for processing by the plant detection model. For example, the plant treatment platform may reformat the image data, adjust the resolution or aspect ratio, or crop the image data. The plant treatment platform applies the plant detection model to the pre-processed image data to generate bounding boxes for the plants. The plant treatment platform then can apply treatment to the plants based on the output of the machine-learned model.

The invention discloses a conyza sumen biocontrol bacterium and application thereof, and relates to the technical field of weed biological control, the conyza sumen biocontrol bacterium has a strain number of SMBJC-3, is preserved in the China Center for Type Culture Collection, the preservation time is September 17, 2025, the preservation number is CCTCC NO: M 20252054, and the conyza sumen biocontrol bacterium is classified and named as Colletotrichum orbiculare. The conyza sativa biocontrol bacterium provided by the invention aims to provide a new resource and method for biological control of conyza sativa.

The invention provides a shrub and grass matched wind prevention and sand fixation method under a photovoltaic panel of a mudshandack sand land. The method comprises the following steps: S1, planting herbaceous plants matched with small half shrubs in front of the photovoltaic panel; s2, adopting sand-barrier automatic sowing equipment to plant shrubs and weeds in and behind the photovoltaic panel; the herbaceous plants comprise artemisia desertorum, agriophyllum squarrosum, liquorice, wheatgrass, leymus chinensis and astragalus mongholicus in North China; the small half shrubs are caragana microphylla, caragana angustifolia and camellia hupehensis; the shrubs are red sand, caragana microphylla, caragana angustifolia, amygdalus pedunculata, alpinia hupehensis, salix babylonica, artemisia stelleriana, caragana microphylla and thyme; the weeds are agriophyllum squarrosum, agriophyllum squarrosum, pugionium Wind prevention and sand fixation engineering and photovoltaic industry land are ingeniously combined, adaptive vegetation is planted under the photovoltaic panel which is most prone to wind erosion and in the peripheral area, surface soil can be effectively fixed, sand dune mobility is reduced, a photovoltaic panel support foundation is protected against wind erosion damage, and the service life of a power station is prolonged.

The invention belongs to the technical field of agricultural machinery and intelligent control, and particularly relates to an intelligent precise weeding robot based on multispectral recognition. The robot aims at solving the problems that in the prior art, due to visible light morphological recognition, the forms of crops and weeds are similar, and the recognition precision is low and the robustness is poor in the complex field environment. The robot comprises an autonomous mobile platform and a sensing operation assembly, the sensing operation assembly integrates a multi-mode sensing unit, a data fusion and decision core and a high-energy thermal ablation module, and the multi-mode sensing unit provides eight narrow-band pulse light with specific wavelengths through an active light source illumination module. Realizing synchronous acquisition of spectrum and space information by combining multispectral imaging and three-dimensional profile measurement; the data fusion and decision core performs registration, segmentation and classification on multi-source data to generate weed target coordinates; and the high-energy thermal ablation module implements 1470-nanometer laser accurate ablation based on the coordinates, and verifies the operation effect in real time through coaxial infrared thermal imaging. By means of the technical scheme, high-confidence-coefficient distinguishing and millimeter-level lossless precise weeding of crops and weeds in the complex farmland environment can be achieved.

Compounds of Formula (I) wherein the substituents are as defined in claim 1. The invention further relates to herbicidal compositions which comprise a compound of Formula (I) and to the use of compounds of Formula (I) for controlling weeds, in particular in crops of useful plants.

The utility model belongs to the technical field of rail transit cleaning, and relates to a movable spraying weeding device for rail transit, which comprises a vehicle body, a pesticide storage box, a fixed spraying mechanism and a movable spraying mechanism, the vehicle body moves along a track line; the pesticide storage box is fixed on the vehicle body; the fixed spraying mechanism is communicated with the pesticide storage box; the movable spraying mechanism is communicated with the pesticide storage box; in the moving process of the vehicle body, the fixed spraying mechanism sprays weeding agents to weeds close to the track, the movable spraying mechanism sprays weeding agents to weeds far away from the track, the fixed spraying mechanism and the movable spraying mechanism are matched with each other, it is guaranteed that the weeding agents cover the weeds comprehensively without dead corners, spraying blind areas are avoided, and the weeding efficiency is improved. The weeding effect is improved; meanwhile, by adjusting the height and angle of the movable spraying mechanism, the coverage range of the weeding agent is dynamically adjusted according to the growth condition of the weeds, it is further ensured that the weeding agent effectively covers most weeds, and the weeding effect is improved.

The invention discloses a corn seedling and weed detection method and device based on a space-spectrum collaborative network. The method comprises the following steps: obtaining corn seedling and weed images in a natural farmland environment to construct a data set, and marking the data set; performing data enhancement on the annotation data set, and dividing the annotation data set into a training set, a verification set and a test set; a corn seedling and weed detection model is constructed based on a YOLOv11 architecture, and the model comprises a feature distribution unit, a spatial structure feature extraction branch, a spectrum context modeling branch, a space-spectrum feature fusion unit, a neck network unit and a detection head unit. Initializing network parameters of the detection model, designing a BCG-WIoU bounding box regression loss function, and training the detection model by using a training set; and reasoning the input image by using the trained detection model, and outputting the category and position information of the corn seedlings and weeds.

The invention belongs to the technical field of image recognition, and particularly relates to an automatic recognition and processing method for weed shielding between photovoltaic arrays. The method comprises the following steps: step 1, data acquisition, polarization highlight removal and candidate region generation; step 2, calculating an expected shadow direction and an expected shadow length according to the sun azimuth, and carrying out direction consistency judgment; step 3, performing Robust PCA sparse extraction on the mismatch set and performing form guidance enhancement on the direction consistent set, and merging processing results to generate a weed foreground set; and 4, constructing a conditional random field graph model on the component grid, refining the boundary, and outputting a weed mask and severity. According to the method, weeds and shadows can be stably distinguished in the environments of strong illumination, high reflection and shadow staggering, the recognition precision and robustness are effectively improved, the conversion from pixel-level segmentation to component-level risk quantification is realized, the manual inspection cost is remarkably reduced, and the operation and maintenance efficiency and the power generation stability of a photovoltaic power station are improved.

The invention relates to the technical field of plant protection monitoring, in particular to an alien weed invasion ground-air cooperative confidence grading early warning method and system, and the method comprises the following steps: collecting plant multi-source sensing data of a target region through plant ground-air cooperative sensing equipment; performing preliminary identification on the plant multi-source sensing data to output screening confidence, and screening out a suspected foreign weed region; finely sensing the suspected alien weed area by using the plant ground-air cooperative sensing equipment to obtain multi-dimensional feature data, and determining alien weed plants through classification and recognition; constructing a weed invasion risk diffusion prediction model, and obtaining a normalized invasion risk index of the exotic weed plant; and dividing weed invasion grades according to the normalized invasion risk index, and obtaining early warning confidence of the weed invasion grades to generate foreign weed invasion early warning information. According to the invention, precise monitoring, dynamic early warning and reliable decision making of foreign weed invasion are realized through ground-air cooperation.

The invention belongs to the technical field of crop disease and insect pest detection, and discloses a method and a system for classifying, identifying and detecting crop disease and insect pests. According to the method, the lightweight and efficient FasterNet is adopted as the preliminary classifier, so that crop diseases, insect pests and weeds can be quickly and accurately distinguished, and the classification precision is improved. And secondly, for a disease image, through a segmentation model based on deep semantic segmentation and by adopting a double-stage segmentation strategy, respectively segmenting a leaf region and a scab region, thereby realizing high-precision segmentation and facilitating subsequent severity diagnosis and quantitative analysis. And for an insect pest image, utilizing a YOLOv11 target detection network to accurately select an insect pest position and identify an insect pest type. For a weed damage image, the YOLOv11 target detection network is also used to identify a weed area, and rapid acquisition and positioning of a field weed distribution condition are realized. According to the invention, the lightweight network and the efficient detection architecture are introduced, the recognition precision and the reasoning speed are both considered, and the dual requirements for real-time performance and reliability in field application of farmland can be met.

Herbicide-resistant rice plants, isolated polynucleotides that encode herbicide resistant and wild-type acetohydroxy-acid synthase large subunit 1 (AHASL1) polypeptides, and the amino acid sequences of these polypeptides, are described. Expression cassettes and transformation vectors comprising the polynucleotides of the invention, as well as plants and host cells transformed with the polynucleotides, are described. Methods of using the polynucleotides to enhance the resistance of plants to imidazolinone herbicides, and methods for controlling weeds in the vicinity of herbicide-resistant plants are also described.

The invention discloses a weeding method of a quadruped robot and a control system of the quadruped robot. The method comprises the steps that the quadruped robot is controlled to enter a weeding operation area based on a preset advancing path, and to-be-removed weeds located in front of a robot body of the quadruped robot are determined according to sensing data in the weeding operation area; determining a weeding phase according to the current gait cycle of the robot body; according to the current stopping posture of the robot body, the space coordinates corresponding to the to-be-removed weeds and the gravity center shift predictive quantity of the robot body, track interpolation is conducted on the track at the tail end of a footprint of the robot body, and a weeding track is obtained, the weeding track represents a track from the current foot stopping position of the robot body to the weed position of the weed to be removed; and using a weeding cutter to cut off weeds to be removed within the weeding phase based on the weeding trajectory.

The invention relates to the technical field of agriculture, in particular to a multi-item processing robot for modern agriculture, which comprises a tracked robot, a picking mechanical arm fixed at the top end of the tracked robot and a fixing frame fixed outside the top end of the tracked robot, when the multi-item processing robot for modern agriculture is used, the defects that an existing intelligent agricultural power machine is dispersed in function and only works on the surface layer can be overcome in a targeted mode, picking, mowing, root removing and preprocessing are integrated, the tracked robot serves as the moving basis, the picking mechanical arm can synchronously carry out crop picking, and the working efficiency is improved. The mowing mechanism at the bottom end of the fixing frame cuts off stems and leaves of weeds on the earth surface in advance, and sequential operation loss is avoided; the rotating assembly drives a limiting rack and a limiting gear to be linked through a limiting electric telescopic rod, and a rotating rod and a rotating frame are driven to adjust the soil penetrating depth of an inclined shovel plate to adapt to different scenes; the grass root shearing assembly drives a long rack by means of a reciprocating electric telescopic rod, and a double-gear rod and a single-gear rod are linked to enable a shear knife to cut off roots.

A plant treatment platform uses a plant detection model to detect plants as the plant treatment platform travels through a field. The plant treatment platform receives image data from a camera that captures images of plants (e.g., crops or weeds) growing in the field. The plant treatment platform applies pre-processing functions to the image data to prepare the image data for processing by the plant detection model. For example, the plant treatment platform may reformat the image data, adjust the resolution or aspect ratio, or crop the image data. The plant treatment platform applies the plant detection model to the pre-processed image data to generate bounding boxes for the plants. The plant treatment platform then can apply treatment to the plants based on the output of the machine-learned model.

A weed trimmer mount assembly includes a mount that is attachable to a mounting location of a riding lawn mower. An arm is pivotally attached to the mount thereby facilitating the arm to be accessible to a rider of the riding lawn mower. The arm is positionable between a deployed position and a stored position. A weed trimmer is coupled to the arm and the weed trimmer is positioned adjacent to the ground when the lever is positioned in the deployed position thereby facilitating the weed trimmer to be oriented for trimming weeds on the ground. The weed trimmer is lifted from the ground when the lever is positioned in the stored position thereby facilitating the riding lawn mower to be operated in a normal manner. A speed control is mounted to the riding lawn mower for adjusting an operational speed of the weed trimmer.

The present disclosure relates to compounds of Formula (I), or an agronomically acceptable salt thereof, wherein Q, R1 and R2 are as defined herein. The present disclosure further relates to herbicidal compositions which comprise a compound of Formula (I) and to use of the compounds of Formula (I) for controlling weeds, in particular in crops of useful plants.

The invention provides a soil improvement method for a sugarcane seedling seedbed. The soil improvement method comprises the following steps that a small-particle-size water-retaining agent containing a water-absorbing component and a biodegradable natural fiber material is spread on the surface layer of soil, and a large-particle-size water-retaining agent containing a water-absorbing component and a biodegradable natural fiber material is spread in a root zone. The water-retaining agents with different particle sizes and mixed with biodegradable natural fibers are spread in a layered manner, so that fine regulation and control can be performed according to the water requirements of different depths of the seedbed. The small-particle-size water-retaining agent is distributed on the surface layer, can rapidly absorb rainfall or irrigation water, reduces surface water evaporation, effectively inhibits weed growth, and meanwhile is not prone to being washed away by rainwater due to the small particle size. The large-particle-size water-retaining agent is concentrated in the root zone, has higher water-retaining capacity, can continuously provide stable water for the root system, and avoids wilting of the root zone due to water shortage. The biodegradable natural fibers are mixed, so that the water-retaining agent is expanded to form a porous structure, and root respiration and healthy growth are promoted.

The invention relates to the technical field of agricultural machinery, and provides an open field vegetable swing type intelligent inter-plant weeding device and a control method thereof, and the device comprises a plurality of weeding monomers, a sensor mechanism and a control mechanism. The sensor mechanism comprises depth cameras, laser sensors and absolute value encoders, the depth cameras are installed on the front portions of the multiple weeding single bodies, the visual field covers multiple rows of crops, and the laser sensors and the absolute value encoders are arranged on the weeding single bodies; the control mechanism is connected with the depth camera, the laser sensor and the absolute value encoder and used for processing data of the sensor mechanism, calculating the fusion height through a fusion algorithm and controlling and driving the lifting mechanism, the transverse moving mechanism and the weeding knife opening and closing mechanism to act based on the error between the fusion height and the target depth so as to achieve accurate weeding and seedling avoiding. The device can quickly avoid crops while effectively removing weeds between rows and plants, and finally realizes mechanical weed removal of open field vegetable crops which are large in bare soil proportion and easy to generate weeds.

This invention belongs to the field of pesticides, specifically relating to a binary herbicidal composition comprising a substituted pyrimidine formyl compound and its application. The binary herbicidal composition includes an effective amount of active ingredient A and active ingredient B, wherein active ingredient A is active ingredient B or is Cyclopyranil. This composition effectively controls various weeds, including grasses and broadleaf weeds, and features a broadened weed control spectrum, reduced application rate, synergistic effect, and the ability to combat resistant weeds.

The present invention relates to a flexible weeder for sowings of one or more rows with short inter-row spacings of 5 to 7 cm and up to 20 cm for different crops, driven by hydraulic motors and connected to the hydraulic system of the tractor to draw power therefrom. The weeder comprises the following systems: a suspension system, a cutting system with discs, a transmission system, a travel system (first embodiment), which includes a leveling system in a second embodiment, and a main structure. The tip of the cutting discs penetrates enough into the soil to remove and loosen roots within the optimum weeding time. The discs comprise blades that penetrate, cutting the roots of weeds or turning over the soil enough to expose the roots of any unwanted vegetation to the sunlight.

The invention discloses a three-color composite mulching film and a preparation method thereof. The three-color composite mulching film comprises a transparent bottom layer, a middle black layer, a surface silver layer and a transparent layer located in the middle of the film. The transparent bottom layer has hydrophilicity, and does not form dewdrops on the surface of the film layer to reflect sunlight, so that the light transmittance of the mulching film is effectively increased, and the ground temperature and the soil energy storage are improved. And the middle black layer can efficiently block light rays and can effectively inhibit growth of various weeds. The surface silver layer can highly reflect sunlight, can improve photosynthesis of bottom leaves of crops, and can avoid aphids at the same time.

Compounds of Formula (I) wherein the substituents are as defined in claim 1. The invention further relates to herbicidal compositions which comprise a compound of Formula (I) and to the use of compounds of Formula (I) for controlling weeds, in particular in crops of useful plants.

The present application belongs to the field of pesticides, and particularly relates to a herbicidal composition containing a fused ring substituted aromatic compound and application thereof. The composition comprises a herbicidally effective amount of active ingredient A and active ingredient B, wherein the active ingredient A is or a salt / ester thereof; the active ingredient B is selected from one or more of the following compounds and salts / esters thereof: glyphosate, glufosinate-ammonium, glufosinate-P, paraquat, diquat, ACCase inhibitors, PPO inhibitors, etc. The composition can effectively control / eliminate grass weeds and broadleaf weeds, etc., and has the characteristics of expanding the herbicidal spectrum, reducing the application amount, being able to produce a synergistic effect and solving the problem of resistant weeds, etc.

This hydraulically driven, intelligent paddy field weeding and cultivation unit is an agricultural machine. The unit is equipped with a pressure-fluid source system consisting of a herbicide liquid tank, a pump assembly, a towerless liquid supply unit, a hydraulic sensor, a safety valve, and a hydraulic solenoid valve; a mechanical weeding and cultivation system consisting of flexible hoses, fixed pipe clamps, rigid pipes, a cylindrical shaft, a sleeve, fixed blades, moving blades, a barrel-type nozzle, and spiral blades; a positioning and adjustment mechanism consisting of a micro-screw linear module, a Π-shaped frame, a transverse track, a slider, a motor, cylindrical gears, a base plate, and a rack; a weed identification and positioning system consisting of a weed identification sensor; and an automatic control box assembly. This unit achieves an intelligent combination of hydraulically driven shearing and pulverizing mechanical weeding and chemical weeding through liquid flow delivery. It features a novel, unique, and reasonable structure, excellent weed control effect, low pesticide residue on crops, and minimal environmental pollution.

The landscaping barrier may comprise a plurality of barrier sections that may be positioned within a landscaped area to form a weed barrier. The plurality of barrier sections may prevent weeds from growing within the landscaped area. An individual barrier section selected from the plurality of barrier sections may comprise multiple layers that provide weight and make the individual barrier section impervious to the weeds. In some embodiments, the plurality of barrier sections may comprise non-uniform sizes and shapes such that the plurality of barrier sections may be selected and positioned to cover the landscaped area regardless of the size and shape of the landscaped area.