205 results about "Pinewood nematode" patented technology

The invention discloses a pine wood nematode disease intelligent identification method and system based on an unmanned aerial vehicle technology, and the method comprises the steps: S1, collecting an image of a tree region through employing an unmanned aerial vehicle to carry a multispectral camera, removing the image noise through employing a bilateral filtering algorithm, and obtaining a denoised image; s2, extracting color features, texture features and vegetation index features from the denoised image; s3, manually marking the de-noised image, and marking a tree area infected with the pine wood nematode disease; s4, integrating the denoised image, the color features, the texture features, the vegetation index features and the segmentation mask, and constructing and training a pine wood nematode disease segmentation model based on U-Net; and S5, identifying a pine wood nematode disease infection area by using the trained pine wood nematode disease segmentation model. The invention can provide an efficient and accurate pine wood nematode disease intelligent identification method, and the limitation of a traditional monitoring means is overcome by using a modern unmanned aerial vehicle technology and a deep learning algorithm.

The invention discloses a pine wood nematode disease tree grading detection method based on unmanned aerial vehicle remote sensing and an improved PWD-YOLOv10n algorithm, and relates to the technical field of forestry harmful diseased tree detection, and the method comprises the steps: (1) diseased tree remote sensing image collection; (2) constructing a data set; (3) network model improvement; (4) selecting evaluation indexes; (5) result evaluation: in the step (3), by designing a PWD-YOLOv10 model with high precision and low leak detection, introducing a CAA attention mechanism module into a backbone network of the YOLOv10n model so as to enhance the feature extraction capability; c2fEMSCP modules are introduced into a backbone part and a neck part respectively, the recognition precision of the model is further improved, the omission ratio is effectively reduced, and rapid and accurate grading detection on the pine wood nematode disease tree in a complex environment is realized by training the high-performance PWD-YOLOv10n model.

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 discloses a strain of arthrosporium spp. And application thereof in prevention and treatment of pine wood line disease. The invention relates to Arthrobotrys heuanensis 18GD1705A, which is preserved in China General Microbiological Culture Collection Center (CGMCC) on November 15, 2021, the address of the Arthrobotrys heuanensis is No.3, Yard 1, Beichen West Road, Chaoyang District, Beijing, the postal code is 100101, and the preservation number is CGMCC No.23851. The Arthrobotrys heuanensis 18GD1705A has the advantages that the Arthrobotrys heuanensis 18GD1705A can be used for preparing a microbial inoculant; according to the method disclosed by the invention, the river-source arthrosporium is inoculated into pine seedling bodies, and the nematodes are caught by utilizing a three-dimensional viscous bacterium net formed by special hypha metamorphosis and can also be killed by forming a structure similar to a contraction ring through singular contraction. Meanwhile, before the pine wood nematodes colonize the pine trees, the river source arthrosporium inoculant is inoculated into the pine trees, so that the tree vigor of the pine seedlings can be effectively enhanced, and a better prevention effect is achieved.

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 relates to the technical field of image data processing, and discloses a pine wood nematode disease epidemic wood monitoring method and system based on a remote sensing satellite and a storage medium. The model is trained by using the tile sample data containing the labels with different lesion degrees, so that the diseased wood with different lesion degrees can be identified, the efficiency is high, the selection of different feature combinations and the design of different monitoring methods for different lesion wood scenes are avoided, the obtained pine wood nematode disease change degree is more accurate, and the accuracy of the pine wood nematode disease change degree is improved. And clearer guidance is provided for subsequent epidemic wood removal and treatment work. And fusion of a remote sensing information extraction and monitoring technology means and a deep learning technology means is realized, image enhancement processing means such as radiation enhancement, resolution enhancement and the like are utilized, the saliency of the range graphic information of the pine wood nematode disease is expanded, and meanwhile, an all-around pseudo-pattern spot removal method is utilized, so that the method is more efficient and efficient. And the monitoring accuracy of the diseased wood is greatly improved.

The invention discloses arthrobotrys guangdongensis and application of the arthrobotrys guangdongensis in prevention and treatment of pine wood nematode diseases. The invention relates to Arthrobotrys guangdonensis 20GD2519A, which is preserved in China General Microbiological Culture Collection Center (CGMCC) on November 15, 2021, the address of the Arthrobotrys guangdonensis is No.3, Yard 1, Beichen West Road, Chaoyang District, Beijing, the postal code is 100101, and the preservation number is CGMCC No.23849. The Arthrobotrys guangdonensis 20GD2519A has the advantages that the Arthrobotrys guangdonensis 20GD2519A can be used for preparing a microbial inoculum; the invention directly aims at pathogenic nematodes, inhibits and kills nematodes, and reduces nematode density. The strain has strong sporulation ability, can maintain good hereditary stability, and still has high fatality rate to pine wood nematodes after continuous subculture. The survival rate of pine trees inoculated with the arthrobotrys guangdongensis suspension in advance can reach 72%.

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 discloses a target object image region segmentation method and device based on image recognition. The method comprises the following steps: acquiring an acquired pine forest aerial image; based on the collected image, obtaining a processing image mixed with at least two regions through cutting; training a first target recognition model by taking the processed image as a training sample; constructing an initial second target recognition model based on the trained first feature extraction module and an untrained second region detection module, and training by taking the collected image as a training sample to obtain a second target recognition model; and performing pine wood nematode disease region boundary segmentation based on the image region of the initial position of the pine wood nematode disease region identified by the second target identification model and the neighborhood region image to obtain the pine wood nematode disease region boundary. According to the invention, the identification accuracy of the pine wood nematode disease tree area is improved, and the phenomenon of misidentification or missed identification of the pine wood nematode disease tree area is reduced.

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 present application relates to the technical field of nematicides for pine wood nematode disease, and specifically discloses a highly efficient compound nematicide for pine wood nematode disease and a preparation method thereof. The components of the compound nematicide include nematicides and adjuvants, the adjuvants include synergists, surfactants, solvents and rejuvenation agents, the nematicide is a mixture of emamectin benzoate and rudol, the synergist is piperonyl butoxide, the solvent includes DMF and chloride solution, and the rejuvenation agent includes amino oligosaccharide aqueous solution; in the compound nematicide, the mass fraction of rudol is 10-20%, the mass fraction of emamectin benzoate is 0.5-3.5%, and the mass fraction of the rejuvenation agent is 2-8%. The compound nematicide of the present application can also have a significant killing effect on nematodes that have developed emamectin benzoate resistance, and the selection of rejuvenation agents reduces the nematode's gnawing on pine trees, promotes the repair of internal damage to pine trees, and fully realizes the treatment of pine trees infected with pine wood nematode disease.

The invention belongs to the technical field of forest tree disease control, and particularly discloses an efficient pine nematode disease resistant inducer based on salicylic acid and dicyclohexylamine as well as a preparation method and application thereof, and the efficient pine nematode disease resistant inducer mainly comprises salicylic acid, cyclohexanediamine, a synergist (such as organic silicon) and an environment-friendly solvent (such as ethanol or diethyl ether). Wherein salicylic acid and dicyclohexylamine are used as core active ingredients, and the resistance of pine trees to pine wood nematode diseases is remarkably improved by stimulating the immune defense system of the pine trees. The inducer has the advantages of being environmentally friendly, moderate in cost, free of residues and pollution and the like, is suitable for multiple fields such as forest control and seedling treatment, can effectively reduce the occurrence rate and loss of the pine wood nematode disease, and promotes sustainable development of forestry. Through a specific preparation process, all the components are uniformly mixed to prepare a solution which is easy to apply, so that efficient protection on pine trees is realized.

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 invention provides a pine wood nematode disease stage monitoring and identification method based on unmanned aerial vehicle visible light remote sensing, and particularly relates to the technical field of reading and identification of image data for pine wood nematode disease discoloration identification, and the method comprises the following steps: carrying out geometric registration, cutting and other preprocessing based on obtained unmanned aerial vehicle visible light remote sensing data; the method comprises the following steps: calculating vegetation indexes based on visible light three wave bands: a visible light wave band difference vegetation index (VDVI), an extra-green index (ExG), a visible light wave band difference vegetation index (VDVI), and a visible light wave band difference vegetation index (VDVI); converting the visible light image and the corresponding vegetation index image into a grayscale image, and performing multi-threshold segmentation on the grayscale image; and the color-changing standing tree is extracted according to the optimal threshold value, the extraction result is post-processed to realize single-plant color-changing standing tree identification, and the efficiency and precision of pine wood nematode disease color-changing wood identification based on the visible light unmanned aerial vehicle remote sensing image are further improved.

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.