23 results about "Tree diseases" patented technology

The utility model relates to a tree disease and insect pest treatment device which comprises a rack and a pesticide injection unit installed on the rack, and the pesticide injection unit comprises an obliquely-arranged supporting track, a first driving device driving the supporting track to rotate, a pesticide injection assembly and a drilling assembly, and the pesticide injection assembly and the drilling assembly are installed on the supporting track; the medicine injection assembly comprises a medicine injection needle tube, and the medicine injection needle tube is parallel to the axis of the supporting rail in the length direction. The drilling assembly comprises a drill bit, a drilling motor and a first sliding base which is fixedly connected with the drilling motor and moves in the length direction of the supporting rail. The medicine injection assembly and the drilling assembly are arranged on the obliquely-arranged supporting track, position switching of a drill bit and a medicine injection needle tube is completed by rotating the supporting track, oblique drilling is achieved, the drilling machine and the medicine injection needle tube do not need to be manually held for drilling and medicine injection operation, the labor intensity is greatly reduced, and the working efficiency is improved. And drilling and medicine injection are quickly linked through the rotary supporting track, so that the drilling and medicine injection efficiency is greatly improved.

The utility model relates to the technical field of ancient and famous tree protection, and discloses an ancient and famous tree hole filling and repairing structure which comprises a repairing frame, an adjusting frame is arranged on one side of the repairing frame, groove cavities are formed in the repairing frame and the adjusting frame, and movable wheels are arranged in the groove cavities; the movable mechanism is located on the opposite side of the repairing frame and the adjusting frame, the movable mechanism comprises an inserting assembly, a control assembly and a positioning assembly, the inserting assembly is located on the opposite side of the repairing frame and the adjusting frame, and the control assembly is located on one side of the inserting assembly; through the arrangement of the movable mechanism, tree holes in different positions in the same circumference of an ancient tree can be repaired, frequent dismounting and mounting are not needed, the situation that the tree holes continuously exist is avoided, the repairing efficiency of the device is improved, the flexibility of the device is improved, and meanwhile the problems that in an existing device, tree holes in different positions are difficult to repair, and the repairing efficiency is poor are solved. The normal physiological functions of the trees are affected.

The invention relates to the technical field of forestry robots and intelligent nondestructive testing, in particular to a tree body disease and pest detection robot based on knocking-echo analysis. The robot comprises a movable climbing mechanism, a variable-diameter mechanical claw driving mechanism and a knocking detection and intelligent marking mechanism. The movable climbing mechanism is matched with a tensioning wheel and a guide frame through a multi-connecting-rod suspension type main body frame, and self-adaptive climbing and stable attachment of the robot on the surfaces of different trunks can be achieved. The variable-diameter mechanical claw driving mechanism drives a transmission sliding block through a transmission motor and drives a clamping frame to achieve self-adaptive clamping of a tree. The knocking detection and intelligent marking mechanism drives a knocking mechanism to generate high-frequency mechanical knocking through a knocking motor, echo signals are collected through a sonic sensor, the positions of plant diseases and insect pests are positioned after the echo signals are analyzed and processed through a main controller, and accurate spraying marking is conducted through the intelligent marking mechanism capable of moving along a track. According to the invention, automatic and nondestructive detection and intelligent marking of plant diseases and insect pests in the tree body are realized, and the problems that the traditional manual detection efficiency is low, the chemical control pollution is serious and the existing robot lacks a tree interior detection function are effectively solved.

The invention discloses a rubber tree early-stage disease intelligent monitoring and prevention system using a biological induction complexing agent, and relates to the technical field of agricultural informatization and intelligent agriculture, and the system comprises a risk assessment module which obtains the sensitivity data of different varieties to specific diseases through a pre-established rubber tree variety database, and obtains the sensitivity data of different varieties to the specific diseases; combining regional environment difference information, extracting climate and soil characteristics from the environment data acquisition module, generating an initial disease risk assessment report for each rubber forest, and obtaining preliminary risk grade distribution; according to the rubber tree early-stage disease intelligent monitoring and prevention system using the biological induction complexing agent, the intelligent level, response timeliness and prevention and control economy of rubber tree disease monitoring and prevention are improved, and the stable yield of rubber forests and the sustainable development of agricultural production are effectively guaranteed.

The invention provides an ancient tree area monitoring method and system and electronic equipment. The method comprises the steps that a first image and a second image of a monitoring area are acquired through acquisition equipment, the first image is acquired by the acquisition equipment at a first focal length, the second image is acquired by the acquisition equipment at a second focal length, and the first focal length is larger than the second focal length; processing the first image by using an ancient tree disease disaster model, and if a disease disaster exists in the first image, acquiring a central pixel of a disease disaster area in the first image; and according to the central pixel of the disease disaster area in the first image, acquiring the central pixel of the disease disaster area in the second image. The method can help the user to quickly locate the disease disaster part of the ancient tree, thereby helping to confirm the overall trend of the disease disaster of the ancient tree.

The application discloses a kind of lipopeptide class for preventing and treating walnut rot disease and preparation method thereof, it is related to plant disease control technical field, including the nanocarrier core of lipopeptide class loading;And the responsive material shell of the carrier core outside is covered;Wherein, the responsive material shell can be degraded under the microenvironment of walnut tree disease site, the microenvironment characteristics include pH value is lower than 6.0 and there is pectinase activity.The present application realizes the precise and efficient prevention and treatment of walnut rot disease by constructing the intelligent nanometer drug delivery system of "nuclear shell structure", realizes the targeting and on-demand release of lipopeptide in lesion site using the shell with double response to disease microenvironment, greatly improves drug utilization and prolongs the effective period;Nanocarrier core effectively protects lipopeptide activity, and its 50-200 nanometer optimized particle size and surface modification promote drug delivery and enrichment in tree body.

The utility model discloses a portable tree disease and insect pest detector, and particularly relates to the technical field of tree disease and insect pest detection, the portable tree disease and insect pest detector comprises a bottom plate, a main board layer and a display board, the bottom plate is provided with an electromagnetic wave transceiver, the detector is tightly attached to the surface of a tree, and the electromagnetic wave transceiver acquires the internal defect information of the tree; the main board layer is provided with a main board used for processing battery wave data, a lithium battery is arranged below the main board, the display board comprises a display screen assembly, and a button module is arranged below the display screen assembly. The device is reasonable in structural design and easy to use, the device is tightly attached to a target tree trunk through corresponding cooperative use of all the elements, a button selects modes, data are processed and analyzed through the mainboard and then become image information to be displayed on the display screen, a user can easily know pest and disease damage information in a tree, a battery is arranged in the device, and outdoor use of the user is facilitated.

The invention provides an ancient tree disease and insect pest intelligent identification method and system based on AI vision, and belongs to the technical field of image identification. According to the method, original image data of an ancient tree is accurately segmented through a convolutional neural network to determine a pest region, and an edge enhancement algorithm is combined to determine the contour of the pest region. Grouping the disease and insect pest types based on a K-means clustering algorithm, and matching the disease and insect pest types with disease feature templates of corresponding disease and insect pest type groups in a preset disease and insect pest type database. And if the matching degree exceeds a preset matching degree threshold value, determining a specific disease type in combination with a decision tree algorithm. And if the matching degree does not exceed the preset matching degree threshold value, judging whether the contour of the pest and disease region has a zigzag boundary, if so, determining the pest type, and if not, determining the fungal disease type. Therefore, ancient tree disease and insect pest recognition is converted from subjective experience judgment to objective quantitative analysis, the accuracy and reliability of ancient tree disease and insect pest recognition are remarkably improved, and therefore the phenomena of misjudgment and missed judgment are reduced.

The application discloses a kind of forest tree diseases and insect pests drilling sampling device, including support rod, the support rod upper end fixed connection first motor, the main shaft of first motor is fixedly connected with vertical plate, the vertical plate is equipped with drill cylinder, the vertical plate end is fixedly connected with support, support is equipped with avoiding hole, the one side of support is equipped with sliding slot, the sliding block of sliding slot is slidably connected in sliding slot, support spring is fixedly connected between the inner wall of one end of sliding slot and sliding block, the one side of sliding block is fixedly connected with sleeve, sleeve is pressed and touched on the outer cylindrical surface of drill cylinder by support spring, filling tank is fixedly connected in sleeve, filling agent is contained in filling tank.The application is by intercepting and forming hole in high position pest position, when drill cylinder is retreated with the core column of intercepting pest, filling agent in filling tank is sprayed to fill the hole after coring, can avoid rainwater irrigation and cause tree decay, remove disease and form filling reinforcement.

This utility model relates to the field of pest and disease control technology for ancient trees, specifically disclosing a sprayer for pest and disease control of ancient trees, including an insecticide tank, a water pump, and an assembled spray pipe. The assembled spray pipe has a bottom pipe, several splicing pipes, and a top pipe. The bottom pipe has a rotating joint at its bottom and is vertically mounted on the top of a vehicle seat via a three-legged support. The splicing pipes contain a plastic tube, which is connected to a spray head assembly on one side of the top pipe. This assembly includes a straight pipe, a solenoid valve, and an atomizing nozzle, with the plastic tube connected to the straight pipe. The insecticide tank is equipped with an external PLC controller, electrically connected to the solenoid valve. This device allows for the addition or reduction of the number of splicing pipes depending on the condition of the ancient tree, and multiple spray head assemblies can be installed at different vertical heights to cover the spraying area. The controller allows for individual control of the spray head for precise spraying, and rotating the bottom pipe adjusts the spraying direction. The bottom pipe is rotated and supported by the three-legged support, reducing manual labor intensity and facilitating the spraying of pesticides for ancient tree pests and diseases.

The invention relates to the technical field of image processing, in particular to a jujube tree pest recognition method and system based on an unmanned aerial vehicle inspection image, and the method comprises the steps: obtaining an original image which is collected by an unmanned aerial vehicle and comprises a jujube tree leaf region, and carrying out the preprocessing of the original image, and obtaining a gray image; extracting at least one leaf area from the grayscale image; for each leaf area, according to gray information of the leaf area, determining a dark zone area related to leaf veins and a bright zone area related to mesophyll; determining scab indexes of the leaf area according to gradient values and gradient directions of boundary pixel points at the junction of the dark zone area and the bright zone area; when the scab index of the leaf area is larger than a preset pest and disease damage threshold value, it is determined that the leaf area is infected with pest and disease damage. The identification accuracy of jujube tree leaf diseases and insect pests is improved, and timely and reliable support is provided for prevention and control of the diseases and insect pests.

The utility model discloses a targeted precise tree disease control agent spray gun which comprises a vehicle body, an agent barrel is fixedly connected to the top of the vehicle body, a pump body is fixedly connected to the outer portion of the agent barrel, a discharging pipe is fixedly connected to the outer portion of the pump body, and a telescopic pipe is fixedly connected to the right end of the discharging pipe. When the pesticide spraying device is used, pesticide in the pesticide barrel can be pumped out of the discharging pipe through the pump body, enters the annular pipe through the telescopic pipe and finally enters the vertical pipe to be sprayed out of the nozzle, the annular pipe can be molded into circles with different diameters through the molding strip, and when the pesticide is sprayed, the annular pipe is arranged at the bottom of a tree root in a sleeving mode. According to the device, the tree roots can be annularly and uniformly sprayed, the process is efficient and rapid, the situation that the tree roots are sprayed around the trees in a rotating mode during manual spraying is avoided, a stirring rod can be driven by a stirring motor to rotate, and when the stirring rod rotates, the pesticide in a pesticide barrel can be stirred.

The present application belongs to the technical field of jujube tree disease and pest control, and particularly relates to a method for trapping and killing winter jujube greenhouse blind bugs, comprising the following steps: 1, planting corn in the row of jujube trees, so that the corn flowering period meets the jujube tree flowering period; 2, setting a trapping and killing tool on the corn corolla; 3, in the early corn flowering period, spraying a propylene glycol solution and an anise oil ethanol mixed solution on the corn corolla, and then opening the trapping and killing tool to trap and kill blind bugs. The method effectively reduces the number of blind bugs in the winter jujube greenhouse, and the number of blind bugs per tree in the high incidence period in early July is 2-6, which basically does not form harm and is safe and non-polluting. The fruit setting number of a single jujube tree in the mature period of winter jujube is 2.5 times that of an ordinary greenhouse, greatly improving the yield of winter jujube.

The invention relates to the technical field of pest control, and discloses an intelligent trapping device for physical prevention and control of ormosia hosiei pests. The plurality of trapping modules are mounted on branches of ormosia hosiei in a suspension manner, and the plurality of trapping modules are connected with the control terminal through pipelines; the trapping module comprises a light inducing unit, a chromatography inducing unit and a smell inducing unit; the chromatographic trapping unit is used for trapping pests through a chromatographic coating. According to the intelligent trapping device for physical prevention and control of ormosia hosiei diseases and insect pests, visual attraction can be formed on target pests through specific colors, phototaxis pests are directly attracted through emitted illumination with specific wavelengths, target populations are accurately positioned by releasing sex pheromones and utilizing the chemical taxis of the pests, and therefore the purpose of preventing and controlling the ormosia hosiei diseases and insect pests is achieved. Moreover, distributed release of pheromones can be realized, the diffusion range is widened, and the problem of poor diffusion performance caused by the fact that a traditional lure is located in equipment is solved.

1. Name of the product in this design: Forest Tree Disease and Pest Detector. 2. Purpose of this design: An instrument for detecting forest tree diseases and pests. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The application discloses the field of tree maintenance device, a walnut tree disease treatment injection device, including box, the outer top wall of box is fixedly connected with the hook, the inner top wall of box is fixedly connected with the collector, the side fixedly connected with the power supply of collector away from the hook, the side fixedly connected with the singlechip of power supply away from the collector, the side fixedly connected with the injection assembly of the inner wall of box away from the power supply, the bottom of box is communicated with injection port, injection port is located in the injection assembly near the power supply below, the end communicated with infusion tube of injection port away from the power supply, the end communicated with injection head of infusion tube away from injection port. The device has simple structure, is suitable for a variety of trees, according to the periodic occurrence of disease, can automatically implement drug quantitative delivery according to the number of disease occurrence without manual intervention, also can reduce the possibility of drug mixing, ensure that the drug efficacy of each time drug liquid delivery is not affected.

The invention provides a target detection model based on deep learning, the target detection model is constructed based on a YOLOv11 model, a strip-shaped convolution S is used to replace a C3k2 convolution in a trunk of the YOLOv11 model, a context anchor attention convolution C is used to replace a C3k2 convolution in a neck of the YOLOv11 model, and the C3k2 convolution in the neck of the YOLOv11 model is used to replace a C3k2 convolution in the neck of the YOLOv11 model. And replacing a loss function in the YOLOv11 model with a dynamic loss function D. The invention also provides a target detection method for the unhealthy tree, and the method comprises the steps: obtaining a target image, inputting the image into a trained target detection model, and carrying out the target detection of the input image through the trained target detection model. The target detection model can be used for identifying and / or detecting tree diseases and insect pests, a large amount of image data can be quickly processed, trees damaged by the diseases and insect pests can be found in time, and powerful technical support is provided for forestry resource protection and disease and insect pest prevention and control.

The application discloses a pine wood nematode disease wood section identification and tracking method, relates to the technical field of tree disease and pest control, and first collects a large number of standard epidemic wood section pictures, uses a marking tool to mark, carries out offline augmentation, trains a neural network framework, and cooperates with an instance segmentation algorithm to build a deep learning platform. The platform is used for background removal of the epidemic wood pictures, the pictures after the background removal are subjected to graying and binarization, and data such as perimeter and area are extracted to form 13 groups of identification vectors, and the epidemic wood is numbered in sequence. The epidemic wood number and the corresponding Euclidean distance are stored in an SQL database. The operation is repeated at the epidemic wood disposal site, and data comparison and analysis are carried out, so that the identification and tracking of the epidemic wood interface are realized. Through the method, a large number of epidemic woods can be identified and tracked, and the efficiency and accuracy of the identification and tracking of the epidemic woods are improved.

The invention relates to the field of intelligent monitoring, and provides a real-time monitoring and early warning method for diseases and insect pests of ancient and famous trees based on multi-source environmental sensing, which comprises the following steps: deploying a plurality of sensing nodes, continuously collecting environmental data around and on trunks of to-be-monitored ancient trees, preprocessing the environmental data and extracting features to obtain feature data; and inputting the feature data into a pre-trained disease and pest risk assessment model, outputting an ancient tree risk coefficient, and sending out an early warning signal in real time according to the change of the ancient tree risk coefficient. According to the method, early warning and early intervention can be carried out on the disease and pest phenomena of the ancient and famous trees, the growth environment of the ancient and famous trees is continuously monitored, multi-source environment data of the ancient and famous trees are collected, the risk value of the ancient and famous trees is evaluated through a model, and the defect that early diseases and pests are difficult to find is effectively overcome in a mode of pushing early warning signals in real time; the maintenance quality and survival rate of the famous and ancient tree group are fully improved, and high-precision and low-misinformation rapid identification of the risk ancient trees is realized.

This invention belongs to the field of forest tree disease control technology, specifically relating to a Bacillus subtilis strain for controlling pecan dry rot and its related applications. The Bacillus subtilis strain is Bacillus subtilis BSLA101, deposited at the China Center for Type Culture Collection (CCTCC), accession number CCTCC NO: M2019160. This strain exhibits significant antagonistic effects against various pathogens causing pecan dry rot. This invention also provides a microbial agent containing this strain and its application method in controlling pecan dry rot. The constructed agent has advantages such as being environmentally friendly, having stable efficacy, and being less prone to developing resistance, providing a new solution for the green and efficient biological control of pecan dry rot, suitable for development as a biopesticide or for use in ecological agriculture practices.

The present application relates to the technical field of image processing, in particular to a jujube tree disease and pest identification method and system based on unmanned aerial vehicle inspection images, the method comprising: acquiring an original image containing a jujube leaf area collected by an unmanned aerial vehicle, and preprocessing the original image to obtain a grayscale image; extracting at least one leaf area from the grayscale image; for each leaf area, determining a dark band area related to leaf veins and a bright area region related to leaf flesh according to the grayscale information of the leaf area; determining a disease spot index of the leaf area according to the gradient value and gradient direction of the boundary pixel points on the junction of the dark band area and the bright area region; and in the case that the disease spot index of the leaf area is greater than a preset disease and pest threshold, determining that the leaf area has been infected with disease and pests. The present application improves the accuracy of jujube leaf disease and pest identification, and provides timely and reliable support for disease and pest control.

The utility model discloses a forest tree disease early warning device based on hyperspectrum, which comprises an unmanned aerial vehicle, a lifting mechanism and an auxiliary detection mechanism, the side end of the unmanned aerial vehicle is fixedly connected with a protective fence, the lower side of the protective fence is fixedly connected with a supporting column, the lifting mechanism is arranged on the lower side of the unmanned aerial vehicle, and the auxiliary detection mechanism is arranged on the lower side of the unmanned aerial vehicle. The auxiliary detection mechanism is arranged on the lower side of the lifting mechanism; according to the forest tree disease early warning device based on the hyperspectrum, a hyperspectral camera extends into a branch through a balancing weight, a lifting shell, a balancing weight and a disc, information in the branch can be obtained at a short distance, the accuracy and timeliness of insect disaster early warning are improved, and then the hyperspectral camera is driven to rotate in cooperation with an electric rotating disc; the interior of a branch can be shot and detected from multiple angles, a blind area of single-angle detection is avoided, data are comprehensively collected, and the detection result is more comprehensive.

The utility model discloses a forestry tree pest control device, and relates to the technical field of pest control, the forestry tree pest control device comprises a water avoiding cover, a hook and a protective rod, the bottom of the protective rod is fixedly connected with a connecting sleeve, the inner wall of the connecting sleeve is in threaded connection with a butt joint ring in an initial state, the bottom of the butt joint ring is fixedly connected with an inner cylinder, and the inner cylinder is in threaded connection with the connecting sleeve. A rotatable outer cylinder is mounted on the outer wall of the inner cylinder, a second retention rod is fixedly mounted at the bottom of the outer wall of the outer cylinder, a first retention rod is fixedly mounted at the bottom of the outer wall of the inner cylinder, and a rotatable retention block is mounted on the outer wall of the first retention rod; according to the insect corpse collecting device, the outer cylinder and the inner cylinder are arranged, and the fixing blocks are arranged at the bottoms of the outer cylinder and the inner cylinder, so that a user can quickly fix and disassemble the insect corpse collecting bag by rotating the outer cylinder, the speed of replacing the insect corpse collecting bag by the device is increased, the workload of workers is reduced, and the practicability of the device is improved.