139 results about "Pinewood nematode" patented technology

The invention discloses a pine wood nematode disease intelligent identification management and control method and system based on artificial intelligence, and relates to the technical field of forest management and control, and the system discloses a pine forest region division management and control module, a pine wood nematode disease identification module, a pine wood nematode disease treatment analysis module, and a region management and control sorting module. A pine forest region division control module and a pine wood nematode disease identification module are arranged, reasonable region control is performed on a pine forest region, pine wood nematode diseases in the pine forest region are accurately identified through deep analysis of multi-dimensional disease features, and a pine wood nematode disease treatment analysis module and a region control sorting module are arranged. The pine forest simulation management and control model of the pine wood nematode disease recognition area is constructed, the actual situation of the pine wood nematode disease recognition area in the subsequent management and control process is accurately analyzed, and the current disease situation, the subsequent disease control situation and the disease influence situation of the pine wood nematode disease recognition area are quantitatively analyzed.

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 provides a rapid detection kit for bursaphelenchus xylophilus and a method and application thereof.The detection kit comprises a fluorescent RAA dry powder reagent premixed with primer probes, the primer probes for rapidly detecting the bursaphelenchus xylophilus based on RAA are designed and screened, and a primer and probe set for specifically amplifying the ITS gene of the bursaphelenchus xylophilus is obtained; no cross reaction with the bursaphelenchus mucronatus is caused; meanwhile, the kit comprises a lysis solution for rapidly extracting the DNA of the pine wood nematode suspension, and the lysis solution contains quaternary ammonium salt, isopropanol and DMSO, so that the DNA extraction quality and efficiency are remarkably improved. The bursaphelenchus xylophilus detection kit provided by the invention is strong in detection specificity, high in sensitivity, simple to operate and portable, and can rapidly detect bursaphelenchus xylophilus within 30 minutes under field conditions.

The invention relates to the field of agricultural protection preparations, in particular to preparation of gold nanoclusters and application of the gold nanoclusters to prevention and treatment of plant parasitic nematodes. The invention provides a preparation method of a gold nanocluster, which comprises the following steps: preparing by using HAuCl4 and L-His to obtain an L-type histidine modified gold nanocluster; the preparation method comprises the steps that a HAuCl4 aqueous solution and an L-His aqueous solution are evenly mixed and then incubated, an obtained reaction solution containing L-His-AuNCs is centrifuged and then subjected to aftertreatment such as ultrafiltration, and the gold nanocluster is obtained. The gold nanocluster can be used for preventing and treating pine wood nematodes.

The present disclosure provides a method for identifying a pine wood nematode-infected discolored wood in a mixed coniferous and broadleaf forest, including inputting a pine forest image of the mixed coniferous and broadleaf forest to be identified into a trained identification model for the pine wood nematode-infected discolored wood to identify the pine wood nematode-infected discolored wood in the mixed coniferous and broadleaf forest, wherein the trained identification model is improved based on a you Only Look Once version 5 small (YOLOv5s) model by connecting a feature-filtering module after a Neck; constructing a feature-enhancing module to replace a C3 module in a Backbone; constructing a convolution-transformer module based on multi-head self-attention (MSHA) to connect after a last layer of residual units in the Backbone; constructing, by Group Shuffle Convolution (GSConv), a multi-scale feature fusion layer to replace an ordinary convolution in the Neck.

The invention relates to the technical field of biology, in particular to a Korean pine control-based method for researching the resistance mechanism of larch to pine wood nematodes, which comprises the following steps: S1, extracting pine wood nematodes: separating to-be-tested nematodes from naturally infected larch by using a funnel; s2, pine wood nematode culture: utilizing botrytis cinerea to co-culture pine wood nematode as a test raw material; s3, selecting tree species: selecting twigs, boughs and trunks of healthy larch with tree ages of 1 year, 2 years and 3 years respectively, and selecting Korean pine with the same requirements as a contrast; s4, sampling tree species: sampling larch and Korean pine inoculated for 1 day, 3 days, 5 days, 7 days, 9 days, 14 days and 21 days; by analyzing the chemical components of the Korean pine and the larch in different stages before, during and after the bursaphelenchus xylophilus infection, the purpose of researching the pathogenesis of the Korean pine and the larch by local pine nematodes in Liaoning is achieved, so that the purpose of effectively preventing the bursaphelenchus xylophilus is achieved.

The invention provides application of a pseudomonas chlororaphis strain Rhs-P27 in prevention and treatment of pine wood nematode diseases, and relates to the technical field of agricultural environmental microorganisms. In particular to a Pseudomonas chlororaphis strain Rhs-P27 separated from rhizosphere soil of Chinese pines and application of the Pseudomonas chlororaphis strain Rhs-P27 in prevention and treatment of pine wood nematode diseases. The strain is preserved in the China Center for Type Culture Collection in Wuhan University on December 18, 2024, and the preservation number is CCTCC (China Center for Type Culture Collection) 20242846. The in-vitro poisoning activity of the strain Rhs-P27 on pine wood nematodes can reach 100% within 24 hours; a fermentation filtrate and a zymophyte suspension of the strain Rhs-P27 have a remarkable inhibition effect on the propagation of the pine wood nematodes; the prevention effect of a zymophyte suspension of the strain Rhs-P27 on the pine wood nematode disease of biennial pinus tabulaeformis potted seedlings can reach 45%, and the density of pine wood nematode in pine trees can be remarkably reduced; the pseudomonas chlororaphis strain Rhs-P27 disclosed by the invention has a good application prospect in the field of pollution-free prevention and treatment of pine wood nematode diseases.

The invention relates to the technical field of organic chemistry, in particular to application of pyrazine compounds in the aspect of killing nematodes. The pyrazine compound has good nematicidal activity on pine wood nematodes, root-knot nematodes and aphelenchoides besseyi, and part of the pyrazine compound also has good activity on root knot nematode diseases caused by the root-knot nematodes, so that the pyrazine compound has good application prospects in the aspect of root knot nematode disease resistance.

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.

The invention provides a pine wood nematode disease tree detection method and system based on image analysis, and relates to the technical field of image processing. The method comprises the following steps: acquiring a to-be-analyzed pine image acquired by an unmanned aerial vehicle, and determining a plurality of reference crown areas in the to-be-analyzed pine image; respectively carrying out diseased tree fading analysis and crown form analysis on each reference crown area, carrying out primary anomaly detection on the plurality of reference crown areas, and dividing to obtain a reference sample group and an abnormal sample group; performing clustering analysis based on environment distribution difference on the plurality of reference tree crown areas in the reference sample group to generate a plurality of environment influence tree crown groups; and determining an environment influence crown group to which each reference crown region belongs in the abnormal sample group, and carrying out secondary anomaly detection on the plurality of reference crown regions to obtain a pine wood nematode pest detection result of the to-be-analyzed pine image. According to the invention, precise detection of the pine wood nematode disease tree is realized.

The utility model relates to the technical field of forestry pest prevention and control, in particular to a pesticide injection device for preventing and controlling pine wood nematode disease, which comprises a main body, a first rotating groove and a second rotating groove are arranged at the top of the main body, and a first miniature water pump shell is rotatably connected in the second rotating groove. A second fixing block is fixedly connected to the end, away from the first micro water pump shell, of the main body, the first micro water pump shell, the main body and the second fixing block are connected through a second hose, and a second micro water pump shell is rotationally connected into the first rotating groove; a first fixing block is fixedly connected to the end, away from the second micro water pump shell, of the main body, and the second micro water pump shell, the main body and the first fixing block are connected through a first hose. Through the design, the overall practicability of the medicine injection device for preventing and treating the pine wood nematode disease can be improved.

The invention provides application of a bacillus subtilis strain Rhs-L31 in prevention and treatment of pine wood nematode disease, and relates to an agricultural environment microbial technology. In particular relates to a bacillus friaricola strain Rhs-L31 which is separated from rhizosphere soil of Chinese pines and application of the bacillus friaricola strain Rhs-L31 in prevention and treatment of pine wood nematode diseases. The strain is preserved in the China Center for Type Culture Collection in Wuhan University on December 25, 2024, and the preservation number is CCTCC (China Center for Type Culture Collection) 20242847. The in-vitro poisoning activity of the strain Rhs-L31 on pine wood nematodes can reach 100% within 24 hours; a fermentation filtrate and a zymophyte suspension of the strain Rhs-L31 have a remarkable inhibition effect on the propagation of the pine wood nematodes; the prevention and treatment effect of a zymophyte suspension of the strain Rhs-L31 on the pine wood nematode disease of the Chinese pine potted seedlings can reach 50%-72.5%; the bacillus subtilis strain Rhs-L31 disclosed by the invention has a good application prospect in the field of pollution-free prevention and treatment of pine wood nematode diseases.

The invention relates to the technical field of agricultural microorganisms, in particular to bacillus isothermal layer R6 for preventing and treating pine wood nematode disease and application thereof. The bacillus isothermal layer R6 is preserved in the China General Microbiological Culture Collection Center (CGMCC), and the preservation number is CGMCC NO. 32275. The strain has the activity of efficiently inhibiting and killing the pine wood nematodes, the fatality rate of fermentation liquor of the strain on the pine wood nematodes can reach 90% or above when OD600 is 0.5-2, and the disease index of pine tree seedlings infected with the pine wood nematode disease can be effectively reduced.

Belongs to the technical field of pine wood nematode disease prevention and control, and particularly relates to a preparation method and application of a pyrazole-chitosan oligosaccharide derivative. Chloroacetyl chloride serves as an acylating agent, chitosan oligosaccharide is acetylated, and chloroacetyl chitosan oligosaccharide is generated; then, a pyrazole molecule with nematicidal activity is connected to the Cl site of the chloracetyl chitosan oligosaccharide through ammonolysis reaction, and the novel pyrazole-chitosan oligosaccharide derivative is obtained. The derivative has relatively high contact activity on pine wood nematodes, and LC50 of 24 hours and LC50 of 48 hours are 4.814 mM and 4.061 mM respectively; the chitosan oligosaccharide can remarkably inhibit multiple physiological indexes such as movement, feeding and service life of the pine wood nematodes, and is good in stability, low in molecular weight of the chitosan oligosaccharide, good in water solubility, green and environment-friendly, and the plant toxicity is remarkably reduced. The derivative has a good application prospect in the aspect of controlling the pine wood nematode disease and can be applied to prevention and control of the pine wood nematode disease.

The invention provides an abnormal color-changing pine monitoring method and system, and particularly relates to the technical field of monitoring and evaluation.The method comprises the steps that firstly, an unmanned aerial vehicle remote sensing image of a target forest area is obtained, and a preprocessing data set containing abnormal color-changing pine and withered pine labels is generated through clipping, framing and labeling processing; the data set is input into a target detection model for training, the model comprises a feature extraction layer based on a lightweight convolutional network, an attention mechanism layer integrating a channel and a space attention sub-layer, and a feature fusion layer adopting a bidirectional weighted feature pyramid structure, and finally a pine tree state recognition model is obtained. Based on pine tree coordinate data output by the model, multi-factor weight collaborative analysis is carried out in combination with multi-source environmental factors, a pine wood nematode disease diffusion risk probability graph is generated, and monitoring and early warning information is output according to the pine wood nematode disease diffusion risk probability graph. And efficient and accurate pine tree disease monitoring is realized.

The invention discloses a compound composition of fluopyram and dsRNA (double-stranded ribonucleic acid) and application of the compound composition in prevention and control of nematodes. The method comprises the following steps: soaking pine wood nematodes by adopting a fluopyram medicament with LC20 concentration, collecting samples at different time points respectively, and carrying out transcriptome analysis. The pesticide compound composition for effectively poisoning and killing the pine wood nematodes is obtained by comparing gene expression differences at different time points, screening out remarkably up-regulated detoxification genes BxCYP, BxCES and BxUDP, designing and synthesizing double-stranded RNA (ds BxCYP, ds BxCES and ds BxUDP) according to the detoxification genes, and compounding the double-stranded RNA with fluopyram. The pesticide compound composition has a remarkable synergistic prevention and control effect on pine wood nematodes, is expected to become a novel and efficient pine wood nematode prevention and control agent, and provides a new strategy and theoretical basis for prevention and control of pine wood nematode diseases.

The invention relates to an unmanned aerial vehicle pine wood nematode disease detection method based on multi-modal features. The method comprises the following steps: constructing an image-text multi-modal data set to provide prior semantic knowledge; using vegetation index threshold mask filtering (VTMF) to enhance spectral difference and suppress noise; frequency domain denoising and feature retention are carried out by using a W-KAN module fusing wavelet transform and KAN attention; modeling a long-distance spatial dependency relationship through a four-domain diffusion diagram convolution residual attention module (Q-DGCRAB); an epidemic situation semantic enhancement detection module (ESADM) is introduced to realize text-visual feature fusion; the training process is dynamically optimized by adopting a forest guardian collaborative optimization algorithm (FGA-CE); according to the method, the problem of low pine wood nematode disease detection precision caused by complex background, repeated texture, significant noise and insufficient semantic information in a high-altitude unmanned aerial vehicle image is solved, the pine wood nematode disease detection precision and robustness in a complex forest stand environment are significantly improved, and the pine wood nematode disease can be accurately monitored in early stage in real time.

The pine wood nematode disease unmanned aerial vehicle monitoring and positioning device comprises an unmanned aerial vehicle body, a mounting block is mounted at the bottom of the unmanned aerial vehicle body, and an auxiliary flight stabilizing structure for improving flight stability by means of airflow is arranged in the mounting block; the bottom of the mounting block is provided with a plugging structure for cooperating with the auxiliary flight stabilization structure, and the bottom of the mounting block is connected with a box body in the middle of the plugging structure. According to the pine wood nematode disease unmanned aerial vehicle monitoring and positioning device and method, cooperative work of the flight stabilizing structure and the blocking and triggering structure is assisted, an airflow channel is optimized, the flight stability of the unmanned aerial vehicle under the conditions of complex terrains and severe weather is enhanced, energy consumption is reduced, and the endurance time is prolonged. In addition, the device is provided with a wireless communication module and a network adapter, and collected and processed data can be transmitted to a ground control station or a cloud server in real time.

The invention relates to the technical field of environmental protection, in particular to a pine wood nematode disease convenient detection device which comprises a collecting assembly used for collecting materials, a processing assembly used for processing the materials, a moving assembly used for adjusting the overall position of the device and an adjusting assembly used for adjusting the height of the collecting assembly. The collecting assembly comprises a rack and a controller, a bottom plate is fixedly connected to one side of the rack, a transverse sliding groove is formed in the bottom plate, sliding rods are symmetrically arranged in the sliding groove in a sliding fit mode, arc-shaped scraping plates are fixedly connected to the side walls of the sliding rods, and the scraping plates are hollow and communicate with negative pressure adsorption assemblies used for adsorbing materials; a first driving part is embedded in the rack, an output shaft of the first driving part extends out of the sliding groove and is coaxially and fixedly connected with a rotating rod, connecting rods are hinged to the two ends of the rotating rod, and the connecting rods are hinged to the sliding rods adjacent to the connecting rods; the controller is used for controlling the first driving part output shaft to rotate so as to drive the rotating rod to rotate. The device is complete in structure, the material collection difficulty can be reduced, and the overall detection efficiency is improved.

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.

The invention relates to the technical field of pine wood nematode disease detection, in particular to an unmanned aerial vehicle remote sensing image pine wood nematode disease detection method based on SLMW-Net. According to the method, a pine wood nematode disease ARen data set is used for model training and testing, meanwhile, a self-learning feature extraction block is introduced and can effectively extract pine wood features infected with nematode diseases in a scene with complex surface conditions and remarkable vegetation interference, a slight feature attention mechanism is provided, and the method has the advantages of being high in accuracy and high in accuracy. The mechanism effectively enhances the capability of capturing slight details of pine wood nematode characteristics, keeps the attention on global characteristics, improves the accuracy of characteristic expression, and overcomes the limitation of a traditional attention mechanism in capturing slight disease characteristics, so that the accuracy of pine wood nematode detection is remarkably improved, and in addition, the mechanism can be applied to the field of detection of pine wood nematode. A WLIOU Loss loss function is designed to optimize a training process, and the problems of class imbalance and difficulty in sample detection are effectively solved.

The invention relates to the technical field of forestry prevention and control, in particular to a pine wood nematode disease autumn general survey ground survey method which comprises the following steps in specific use: recording survey site data; recording survey image data; drawing a survey site diagram; downloading survey image data; writing a survey report; the survey site can be quickly and accurately searched, the survey site and image data are recorded and transmitted, a survey table is filled and reported, and a survey report is formed; in this way, the technical problems that in the prior art, a ground checking method is low in checking speed, difficult in data transmission and low in working efficiency are solved; according to the method, the Ovui map is used, so that the survey site can be quickly and accurately found, and survey site data is recorded; according to the method, a today watermark camera is used, survey image data can be rapidly and accurately recorded and transmitted, and autumn general survey work can be accurately evaluated.

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 invention provides a benzoxazine-tioxazafen derivative and its preparation method and application, belonging to the technical field of pesticide compound preparation. The benzoxazine-tioxazafen derivative described in the present invention is a derivative of 3-(5-(thiophene-2-yl)-1,2,4-oxadiazole-3-yl)-2H-benzo[b][1,4]oxazine. The present invention uses tioxazafen as the parent structure and splices active substructures with differently substituted benzoxazine derivatives to synthesize a series of new compounds with novel chemical structures. The compounds can be used to control plant parasitic nematodes such as root-knot nematodes and pine wood nematodes. Bioassay results show that the activity of the benzoxazine-tioxazafen derivative against pine wood nematodes is significantly better than that of the commercial agent tioxazafen and is comparable to that of thiazophos, indicating high commercialization prospects.

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.