67 results about "Pinewood nematode" patented technology

The invention discloses a pest control management system and method for forest tree breeding, and relates to the technical field of forest tree breeding and seedling raising, and the method comprises the following steps: collecting environment data and soil rhizosphere data by collecting multi-mode images of leaves and trunks of a pinus massoniana young forest and videos that pinus massoniana caterpillars gnaw leaves and cluster diffusion; constructing a disease and insect pest recognition model by using a convolutional neural network, performing definite diagnosis on pine wood nematode disease, pine caterpillars and monochamus alternatus hope, and quantifying the disease and insect pest occurrence area and population density of each sub-region; calculating a pine wood nematode disease control demand index, comparing the pine wood nematode disease control demand index with a threshold value, and triggering a corresponding control strategy; the diffusion coefficient of the pine caterpillars is calculated and compared with a risk threshold value, and a prevention and control scheme is formulated; calculating the propagation coefficient of the monochamus alternatus hope, judging the propagation risk and giving a prevention and control strategy; according to the invention, intelligent pest identification, risk quantification and control strategy closed-loop control are realized, treatment and scientific prevention and control are facilitated, and the pest control efficiency of the pinus massoniana young forest and the forest stand health level are improved.

The invention relates to the technical field of pest prevention and control, in particular to a method for treating pine wood nematode infected wood through poria cocos. The method comprises the following steps: cutting down current-year epidemic wood, and treating tree heads, tree trunks and boughs to complete peeling and tendon retaining treatment; uniformly cutting the trunk and the boughs into standard cut-logs; the method comprises the following steps: selecting fresh poria cocos sclerotium skin tissues as strains, and cutting according to an area greater than 50% of a cross section; pit pits are dug in the sunny slope; laying small branches on the bottom layer, placing the cut-logs in the pits, fixing the cut-logs with non-woven fabrics after inoculation, covering the upper layer with thin branches and leaves, and covering with soil; the two-stage biological process of mycelium planting, propagation expanding and pine wood nematode and medium insect killing is sequentially completed through a soil heat and moisture preservation environment; the propagation path of pine wood nematodes is blocked through the natural isolation effect of soil, deadwood obtained after poria cocos is subjected to biological verification and then smashed on site to return to forests or be made into fuel particles, and harmless and resource recycling of epidemic wood is achieved. According to the method, the problems of pine wood nematode propagation and epidemic wood treatment are synchronously solved.

This invention discloses a multi-source data fusion early warning and precision application method and system for pine wilt disease, belonging to the field of smart forestry technology. It includes a multi-source data acquisition module, a spatiotemporal data fusion module, a health index calculation module, an external feature extraction module, a dual-channel coupled diagnosis module, a graded early warning module, an application urgency assessment module, an application strategy planning module, and an adaptive optimization module. This invention collects and fuses multi-source data such as satellite remote sensing data, UAV inspection data, ground-based IoT data, and forest meteorological data. It utilizes a dual-channel coupled deep learning model to achieve probabilistic diagnosis of the multidimensional state of individual trees and to extrapolate the spread of the disease. Based on the diagnostic results, it generates graded differentiated application strategies and finally achieves adaptive closed-loop optimization of the calculation parameters and model through a control effect feedback mechanism.

The invention relates to a multi-channel controllable pine wood nematode collection culture dish and a culture and collection method, and belongs to the technical field of pine wood nematode culture.The multi-channel controllable pine wood nematode collection culture dish comprises a culture dish body, the culture dish body comprises a culture dish cover and a culture dish body, the culture dish cover is provided with three sampling holes, sampling pipes are installed at the sampling holes, and the three sampling holes are communicated with the culture dish body. The three sampling tubes are annularly arranged along the center of the culture dish cover. According to the method, the natural enrichment phenomenon is utilized, the sampling pipe and the sample leaking hopper are matched, water drops containing the nematodes are collected through gravity, compared with a traditional filtering centrifugal collection method, the traditional time-consuming filtering step is omitted, the nematodes can be used after being extracted, the operation process is remarkably simplified, the nematode collection time is greatly shortened, the working efficiency is improved, and the method is suitable for popularization and application. And the three sampling pipes synchronously collect and continuously collect after the sampling pipes are replaced, so that the resource utilization rate is increased.

The invention discloses a pine wood nematode disease rapid detection method, and relates to the field of forestry plant quarantine and pest and disease damage detection, a portable integrated detection device is used for executing the following steps: S1, sample collection: a miniature drilling unit of the device automatically drills into a to-be-detected pine tree trunk to take a wood chip sample; s2, sample pretreatment: conveying and weighing a wood chip sample, transferring the wood chip sample to a crushing and extracting chamber after the wood chip sample reaches a target weight, adding a lysis solution, heating, crushing and extracting to obtain an extracting solution; s3, sample transfer: injecting the extraction liquid into a micro-fluidic chip mechanism by using a diaphragm pump; s4, nucleic acid purification and isothermal amplification: carrying out nucleic acid purification on the extract in a micro-fluidic chip mechanism, and carrying out a nucleic acid isothermal amplification reaction at a constant temperature; and S5, optical detection and result analysis: carrying out real-time fluorescence monitoring on a nucleic acid isothermal amplification process, obtaining and processing a fluorescence signal, calculating the estimated concentration of the pine wood nematodes based on an algorithm model, and evaluating an infection risk level in combination with forest stand background information. The method realizes on-site rapid and accurate detection, and can meet field rapid detection requirements.

The invention discloses an LAMP primer designed by taking a BXPC1 gene of bursaphelenchus xylophilus as a target gene, CRISPR RNA and application of the LAMP primer. The invention designs an LAMP (loop-mediated isothermal amplification) primer and CRISPR (clustered regularly interspaced short palindromic repeats) RNA (ribonucleic acid) by aiming at a BXPC1 gene of the pine wood nematodes as a target gene and establishes a detection kit and a detection method for detecting the pine wood nematodes based on an LAMP-CRISPR / Cas12a system. Specificity and sensitivity tests show that the CRISPR RNA as shown in SEQ ID No.8 has the best detection effect, pine wood nematode and bursaphelenchus mucronatus can be specifically distinguished, and the sensitivity reaches 0.1 pg / L; the method for detecting the pine wood nematodes based on the LAMP-CRISPR / Cas12a system has the advantages of being good in stability, high in practicability, high in amplification efficiency and the like, and a sensitive, specific, rapid and visual detection means is provided for rapidly screening the pine wood nematodes on site.

A pine wilt disease tree detection method based on an attention mechanism and a center circle sampling method, which comprises the following steps: step 1, obtaining pine wilt disease tree pictures and making them into a data set; step 2, inputting the pine wilt disease tree data set into a global multi-scale channel adaptive network for training to obtain a trained pine wilt disease tree recognition model; step 3, inputting pine forest images that need to be recognized into the pine wilt disease tree recognition model to obtain the recognition result of the diseased tree and the latitude and longitude coordinates; and step 4, finding the diseased tree according to the coordinates of the diseased tree, and performing drug treatment on the early-stage diseased tree and cutting and burning treatment on the middle- and late-stage diseased tree. The purpose of the present application is to solve the technical problem that the existing pine wilt disease tree detection method ignores the mismatch between the positive sample sampling range and the circular shape of the pine wilt disease tree target, resulting in low sampling quality.

The invention relates to preparation and application of a series of benzoheterocycle-containing amide compounds with novel structures. The structural general formulas of the series of the amide compounds containing the benzoheterocycles are shown as a formula (I) and a formula (II), and research finds that the amide compounds containing the benzoheterocycles have excellent poisoning activity on pine wood nematodes which are major forest-devastating plant parasitic nematodes. The compound can be used as a nematicide candidate for research and development of a novel nematicide with high efficiency, low toxicity and environmental protection.

The application discloses a preparation method of a cyclopropane compound and application of the cyclopropane compound in nematode killing activity. The application uses an electrochemical method to quickly cyclopropanate a methylene compound by using a cheap and easily available sulfide. The synthesis method is simple, clean, efficient, short in reaction time, low in energy consumption, and cheap and easily available in raw materials, and is suitable for mass production and better research. Through activity testing, the cyclopropane compound has strong activity against pine wood nematode disease, and relevant research provides a good basis for strong biological activity, anticancer activity, antibacterial activity and anti-inflammatory activity.

The present application relates to a kind of unmanned aerial vehicle pine wood nematode disease detection method based on multi-modal feature, by constructing image-text multi-modal dataset to provide prior semantic knowledge;Adopt vegetation index threshold mask filtering (VTMF) to enhance spectral difference and inhibit noise;Utilize the W-KAN module of fusion wavelet transform and KAN attention to carry out frequency domain denoising and feature reservation;Through four-domain diffusion graph convolution residual attention module (Q-DGCRAB) modeling long-distance spatial dependence relationship;Introduce epidemic semantic enhancement detection module (ESADM) to realize text-visual feature fusion;And adopt forest guardian collaborative optimization algorithm (FGA-CE) dynamic optimization training process;The present application solves the problem of low pine wood nematode disease detection precision caused by complex background, texture repetition, significant noise and insufficient semantic information in high-altitude unmanned aerial vehicle image, significantly improves the detection precision and robustness of pine wood nematode disease in complex stand environment, realizes early accurate, real-time monitoring of pine wood nematode disease.

The utility model relates to the technical field of insect collecting equipment, concretely relates to a pine wood nematode collecting device, including base, the base top fixedly connected with insect collecting mechanism, the base bottom is provided with fixed subassembly, among them: The fixed subassembly includes two arc connecting plates, two The arc connecting plates pass through opposite or opposite movement adjustment distance between two arc connecting plates, can with different specifications connecting piece steady clamping between two arc connecting plates, adapt to different diameter connecting piece, expand the applicable scene of device, one end of fixed subassembly is provided with adjusting assembly, through Adjusting assembly rotation drive fixed subassembly one end rotation adjusts the angle of fixed subassembly, satisfy fixed subassembly with different direction connecting piece's connection, increase the adaptability of insect collecting mechanism installable position, effectively guarantee the insect collecting mechanism in the moth module can always be oriented optimal monitoring direction, improve the insect collecting efficiency.

The application discloses application of natural unsaturated aliphatic aldehyde in prevention and treatment of plant parasitic nematodes. The natural unsaturated aliphatic aldehyde is trans, trans-2,4-heptadienal and trans-2-heptenal. The plant parasitic nematodes are root-knot nematodes, cyst nematodes and pine wood nematodes. Both the trans, trans-2,4-heptadienal and the trans-2-heptenal can exhibit excellent nematocidal activity through contact killing and fumigation, which provides a basis for development of green and environmentally-friendly nematocidal agents, and has a good application prospect for replacing traditional chemical nematocidal agents.

The invention belongs to the technical field of green prevention and control of forestry pests, and discloses a microcapsule slow-release synergistic trapping and killing preparation for adult monochamus alternatus and a prevention and control method. According to the preparation, the monochamus alternatus attractant and the 6% abamectin chlorobenzoyl microcapsule suspending agent are embedded in a polymer capsule wall material, and synchronous slow release of the monochamus alternatus attractant and the 6% abamectin chlorobenzoyl microcapsule According to the prevention and control method, an unmanned aerial vehicle or an airplane is adopted for precisely applying pesticide in a strip mode, and monochamus alternatus adults are efficiently prevented and controlled through a directional luring-concentrated gathering-targeted killing mechanism. The pesticide dosage is only 1 / 4 of that of conventional prevention and control, the comprehensive cost is remarkably reduced, the prevention and control effect is not statistically different from that of conventional agents, an ecological sensitive area can be flexibly avoided, high efficiency, economical efficiency and ecological friendliness are achieved, and a key technical scheme is provided for prevention and control of pine wood nematode disease vector insects.

The invention discloses a method for enhancing pine wood nematode disease resistance of larch through jasmonic acid signal mediated flavonoid biosynthesis. The method comprises the following steps that 1, the larch is inoculated with pine wood nematode; 2, performing high-throughput omics sequencing sampling and data analysis; 3, treating larch seedlings with methyl jasmonate; 4, the inhibition effect of the kaempferol and the citrus aurantium on the pine wood nematodes is obtained. According to the method, larch is taken as a research object, a disease stress system is constructed by artificially inoculating pine wood nematodes, leaf / stem tissues at different time points after infection are selected, and sequential multiomics analysis is carried out by combining transcriptome sequencing and a wide targeting metabolome technology; the theoretical basis and method for improving the pine wood nematode disease resistance of larch by regulating and controlling the biosynthesis of kaempferol and citrus aurantium through a jasmonic acid signal way are defined.

The application belongs to the technical field of biological prevention and treatment of forestry diseases and insect pests, and discloses a method for preventing and controlling pine wood nematode disease by killing medium insects based on RNA interference technology and application thereof. The method screens RNA interference lethal targets from Monochamus alternatus, and the targets are selected from at least one of IAP genes and RPL40 genes; RNA interference molecules targeting the targets are prepared, and are prepared into RNAi nucleic acid preparations together with nucleic acid loading materials, nucleic acid protection materials, plant surface adhesion spreading materials, light stable protection materials and aqueous media; and the preparations are applied to Monochamus alternatus, pine branches, pine needles, tree barks and feeding, activity, habitat or egg laying sites thereof. The method can improve the stability, retention and delivery efficiency of RNA interference molecules in a forest environment, induce Monochamus alternatus to reduce the expression of lethal targets and kill medium insects, thereby reducing the transmission risk of pine wood nematodes, and is suitable for green prevention and control of pine wood nematode disease.

The utility model relates to forestry disease and insect pest monitoring equipment technical field, concretely for pine wood nematode disease monitoring sampler, include: support seat, first waist type piece, second waist type piece and third waist type piece, both ends of support seat all respectively have clamping arm and prop open arm, and two prop open arms are located between two clamping arms position, first waist type piece, second waist type piece and third waist type piece are in turn arranged from top to bottom. The utility model drives clamping arm and support seat to occur hinged through movable element cooperation third hinged link and first hinged link, and make two clamping arms gradually relatively rotate, and the tree is steadily clamped, and the movable column drives prop open arm and support seat hinged through second hinged link simultaneously, makes the tree gap expand, when the pine nematode exposes, keeps the gap expansion state, at this moment, the pine nematode in the gap can be taken out from the forceps, to realize the single person convenient pine nematode and reduce the purpose of the damage to the tree trunk.

This invention discloses a fungal encapsulation agent for *Ischemicula elais* and its application in the control of pine wilt disease, belonging to the field of microbial control technology. This invention uses *Ischemicula elais* as the functional microorganism, combined with carrier materials, additives, and active ingredients to prepare a solid microbial encapsulation agent. The shelf life of *Ischemicula elais* spores at room temperature is extended from 2-3 days for traditional spore solutions to over 3-6 months, and up to 12 months under 4°C refrigeration, solving the problem of inconvenient low-temperature storage in mountainous areas. The microencapsulation components form a slow-release protective layer, preventing activity loss caused by environmental factors such as high temperature and drought.

The invention relates to the technical field of remote sensing monitoring, in particular to a pine wood nematode disease identification method and system based on an unmanned aerial vehicle image, and the method comprises the following steps: obtaining a pine forest multispectral image through an unmanned aerial vehicle, extracting edge pixels through a Canny algorithm, decomposing a direction to generate a sequence, calculating a gradient offset, counting curvature mutation points, and extracting curvature characteristic parameters. The method comprises the following steps: removing abnormal edge segments, performing DBSCAN clustering to obtain candidate areas, constructing a radial channel to collect gray values, generating gray attenuation features, extracting a three-dimensional feature space, and performing K-means clustering to output a recognition result graph. According to the method, multi-spectral image gradient decomposition is combined with curvature fluctuation characteristic analysis, disease spot microscopic distortion is accurately captured, non-pathological interference is inhibited through curvature mutation points and density clustering, three-dimensional characteristics are constructed through a radial gray attenuation main trend, gray identification is enhanced through direction offset analysis, experience dependence is reduced through multi-threshold screening, and the method is suitable for large-scale popularization and application. The dynamic self-matching framework improves the robustness of forest region detection, and realizes the autonomous recognition of disease spots.

The invention discloses a selective nematicidal compound I based on a bursaphelenchus xylophilus neuropeptide receptor and application of the selective nematicidal compound I. The invention relates to a small molecular lead compound for killing bursaphelenchus xylophilus and application of the small molecular lead compound, the chemical formula of the small molecular lead compound is C25H27 Cl N2 O3 S, and the median lethal concentration of the small molecular lead compound for killing the bursaphelenchus xylophilus is 9.30 mg / L. The micromolecular lead compound can effectively inhibit the feeding capacity and population number of pine wood nematodes, and shows good nematode killing potential. The small molecular lead compound has a good application prospect in the aspect of preventing and treating pine wood nematode diseases.

The application discloses a kind of based on cloud platform camera detection's positioning method of pine wood nematode disease dead tree, including cloud platform and N high-altitude camera, N The high-altitude camera is respectively connected with the cloud platform, reasonably utilize high-altitude camera, through the connection of cloud platform and camera, make the dual combination of software algorithm and image processing, the difficulty of using high-altitude cloud platform video to recognize positioning is solved.Utilize the repeated shooting of camera, while positioning the camera, in combination with its shooting angle and zoom value, the picture of shooting is positioned, then in combination with local content, local accurate positioning is carried out, realizes single, or group, or cluster positioning.The beneficial effect is: improve forest protection auxiliary equipment technical means, reduce the workload of forest protection staff.

The invention discloses application of any compound of 8-substituted berberine derivatives in prevention and treatment of agricultural diseases. A biological activity test shows that the derivative has a significant effect on four plant pathogenic bacteria such as Xanthomonas oryzae pv. Oryzae, Xanthomonas citri, pseudomonas solanacearum and Ralstonia solanacearum, and four plant pathogenic fungi such as rhizoctonia solanacearum, sclerotinia sclerotiorum, botrytis cinerea and fusarium graminearum. The compound shows certain inhibitory activity on pathogenic bacteria of rice bacterial leaf blight, pathogenic bacteria of citrus canker, rhizoctonia solani, sclerotinia sclerotiorum, botrytis cinerea and pine wood nematodes, and has a good inhibitory effect on pathogenic bacteria of rice bacterial leaf blight, pathogenic bacteria of citrus canker, rhizoctonia solani, sclerotinia sclerotiorum, botrytis cinerea and pine wood nematodes. The compound is low in preparation difficulty, raw materials are cheap and easy to obtain, and the compound is expected to be developed into a novel plant disease resistant medicine.

The invention belongs to the technical field of pesticides, and particularly relates to a piperidine compound as well as a preparation method, a composition and application thereof. The compound is shown as a general formula I, wherein M1, M2, M3, M4 and M5 respectively and independently represent CR or N; x represents O or NR8; y1, Y2, Y3 and Y4 independently represent hydrogen, halogen, alkyl or halogenated alkyl; z represents a halogenated alkyl group; r1 represents hydrogen, halogen or the like; r2 independently represents hydrogen, halogen, nitro, cyano, or the like; r independently represents hydrogen, halogen, nitro and the like; and R8 represents hydrogen, alkyl or halogenated alkyl. The compound has excellent prevention and treatment effects on pine wood nematodes, second-age root-knot nematodes and the like.

The invention discloses a data model hybrid driven pine wood nematode disease transmission risk prediction method, and belongs to the technical field of pine wood nematode disease monitoring. The objective of the invention is to improve pine wood nematode disease transmission risk prediction precision. The method comprises the following steps: constructing a multi-source factor data matrix; according to the propagation law of the pine wood nematode disease, a cellular automaton model is constructed, and the spatial diffusion process of the pine wood nematode disease in each county-level administrative division geographic unit in the forest is calculated and simulated; constructing a TabNet neural network model, performing feature learning on the multi-source factor data matrix, and identifying key driving factors of pine wood nematode disease transmission; a PINN physical information neural network framework is constructed, a cellular automaton model is used as a physical constraint module, a TabNet neural network model is used as a data driving module, and the physical constraint module and the data driving module are linked through a composite loss function; and using the trained PINN physical information neural network framework to predict the propagation and diffusion trend of the pine wood nematode disease in the future and realize visualization.

The application provides a method for early accurate identification of pine wilt disease, relates to the technical field of processing and analysis of image data, sample chlorophyll and water content data, spectral data and the like, and comprises the following steps: based on obtained unmanned aerial vehicle hyperspectral remote sensing data, chlorophyll content data of standard needle leaf samples, water content data and ASD hyperspectral data, sensitivity analysis is carried out by using a SPA algorithm in combination with physiological characteristic parameters such as classic vegetation index, pine pigment data and water content data, optimal pigment and water content index data are screened, and water content data-pigment data collaborative indexes are adopted, a plurality of indexes and a plurality of data including image data, sample chlorophyll and water content data, spectral data and the like are utilized, and the data are processed and analyzed, so that early accurate identification of pine wilt disease is realized.

The present invention relates to a Bacillus subtilis JCK-1398 strain (Accession No. KCTC 14084BP) having induced resistance activity in pine trees and various plants, a pesticidal or antibacterial composition comprising same as an active ingredient, a composition for controlling plant diseases or pests, and a control method using same. The Bacillus subtilis JCK-1398 strain of the present invention was experimentally confirmed to have control activity against pests, nematodes, and fungi, which cause various plant diseases, by inducing resistance in a host. Thus, the Bacillus subtilis JCK-1398 strain of the present invention can be effectively used to control related plant diseases and can be spread over a wide area through foliar spraying, and therefore is expected to be able to prevent the spread of pine wilt disease at low cost.

The application discloses a pine nematode inhibition method based on pachyman substitute cultivation, and comprises the steps of destroying the survival carrier of pine wood nematode and intermediate host, substitute fermentation directional regulation of microbial environment and pachyman fungus biological control, wherein the substitute fermentation makes the pH of the substrate in the range of 5.0-6.5, and the microbial environment for inhibiting the hatching of pine wood nematode and monochamus alternatus egg, the development of larva and the reproduction of adult is constructed; especially, the pH of the substitute substrate after fermentation is maintained at 5.5-6.5, and the pachyman fungus is combined. Compared with the existing biological control method of diseased wood, the pine nematode inhibition rate can be increased from 60-70% to 100%, and the secondary transmission risk of pine nematode is significantly reduced. While realizing the harmless treatment of diseased wood and completely blocking the transmission of pine nematode, efficient and high-quality cultivation of pachyman is achieved, and the method is suitable for the large-scale treatment of pine wood nematode disease and the industrialized planting of pachyman genuine producing area.

The invention discloses application of a Japanese larch CHS1 gene or an encoding protein thereof in improving pine wood nematode resistance of pine trees. The invention finds that the resistance of embryogenic calluses to pine wood nematodes can be remarkably improved by performing overexpression on the Japanese larch CHS1 gene in the Japanese larch embryogenic calluses, so that the invention provides the application of the Japanese larch CHS1 gene or the encoded protein thereof in improving the resistance of pine trees to the pine wood nematodes, and the application comprises the following steps: overexpressing the CHS1 gene in the pine trees, the expression level of the CHS1 gene is enhanced or the function or activity of the encoded protein is enhanced. The method has important economic value and ecological value in the aspects of improving the pine wood nematode resistance of the pine trees and the like.

The invention discloses a pine wood nematode wood sample batch separation device, and relates to the technical field of plant quarantine, the pine wood nematode wood sample batch separation device comprises a first base and a partition plate; the second base is fixedly installed on the rear side face of the first base, the height of the first base is 0.25 m, the height of the second base is 0.6 m, the first base and the second base are combined in a stepped mode, the partition plates are evenly fixed in the first base and the second base, round holes are evenly formed in the top face of the first base and the top face of the second base, and the partition plates are arranged in the round holes. According to the device for separating the wood samples of the pine wood nematodes in batches, the plurality of glass funnels can be placed in the plurality of round holes, so that the samples of different batches can be treated at the same time, the operation is simple, the operation is convenient, and the efficiency is high. By rotating the screw rod, the pine wood nematode wood sample can be tightly pressed in the glass funnel by the pressing plate, so that the pine wood nematode wood sample is prevented from floating upwards to influence the experiment effect.

The invention provides a pine wood nematode disease identification method and system in a low-light environment, and belongs to the field of forestry pest and disease monitoring. The method comprises the following steps: acquiring a pine forest aerial image to be detected, and preprocessing the image; processing the preprocessed image by adopting an image enhancement method based on CLIP to obtain an enhanced image; the enhanced image is input into a trained pine wood nematode disease detection model, and feature map extraction is carried out on the enhanced image through an OfficientViT module; performing up-sampling on the feature map by adopting content awareness feature recombination to obtain an enhanced feature map; and inputting the enhanced feature map into the RT-DETR network, and outputting a detection result of the pine wood nematode disease. The method effectively solves the problems of overexposure, underexposure or noise amplification easily occurring under the condition of weak light in a traditional method, improves the detection precision of the model in a low-light environment, and achieves the purpose of meeting the real-time processing requirement of mobile terminal equipment while maintaining the feature extraction capability.

The utility model relates to the technical field of agriculture and forestry disease and insect pest monitoring equipment, in particular to a pine wood nematode disease situation monitoring device which comprises a monitoring box body, and the top of the monitoring box body is sequentially and fixedly provided with a fixed bottom cover, a fixed disc and a fixed top cover. Threaded rods are rotationally connected to the top of the monitoring box body and the middle of the fixed bottom cover through bearings, third gears are fixedly connected to the tops of the threaded rods, a right-angle motor is fixedly connected to the top of the fixed disc, and an output shaft of the right-angle motor penetrates through the bottom of the fixed disc. The right-angle motor drives the first gear and the second gear to rotate, when the right-angle motor drives the first gear to rotate, the right-angle motor drives the connecting cover to rotate through the first gear, and the connecting cover drives the trap lamp to rotate and rotates relative to the cleaning sleeve; and a brush on the inner wall of the cleaning sleeve is used for cleaning the surface of the trap lamp, so that the trapping effect is improved.