589 results about "Insect pest control" patented technology

The invention discloses a crop pest monitoring method and system based on artificial intelligence, and the method comprises the steps: constructing a crop pest recognition model, and recognizing the types and number of pests; the method comprises the following steps: acquiring crop infrared thermal imaging image data of multi-view fusion, and identifying insect pest types and quantity of unshielded areas in a crop monitoring area; identifying a thermal anomaly region, and determining the number of insect pests in a shielded region in the crop monitoring region; constructing an insect pest type identification model, and determining the insect pest type of the shielded area in the crop monitoring area; calibrating the number and type data of insect pests in the crop monitoring area; constructing an insect pest prediction model, and judging a future insect pest diffusion trend; and evaluating the effectiveness of the pest control strategy, and adjusting the pest control strategy and implementing the advance of the pest control strategy. According to the invention, comprehensive monitoring, accurate identification and scientific prevention and control of insect pests are realized, the problems of monitoring blind areas and prevention and control lag are effectively solved, and the efficiency and reliability of insect pest prevention and control are significantly improved.

The invention discloses a satellite and unmanned aerial vehicle remote sensing monitoring control system based on insect behavior regulation and control, which relates to the technical field of remote sensing monitoring and comprises an insect monitoring regulation and control system, an unmanned aerial vehicle remote sensing comprehensive processing system, a satellite remote sensing comprehensive processing system and a visual monitoring command platform. The insect monitoring regulation and control system carries out insect behavior regulation and control on a target area and collects an environment monitoring data set, and ground insect information feature data is obtained through analysis; the unmanned aerial vehicle remote sensing comprehensive processing system collects unmanned aerial vehicle multispectral images of the region after insect behavior regulation and control, and analyzes the images to obtain insect generation types, insect distribution thermodynamic diagrams and insect density change trends; a satellite remote sensing comprehensive processing system collects satellite remote sensing data of the region after insect behavior regulation and control, and a wide-area insect pest thermodynamic diagram is obtained through analysis; and the visual monitoring command platform is used for providing a visual operation interface for a user, presenting an insect pest analysis result to the user, and supporting the user to carry out remote operation and implement a real-time insect pest control scheme.

The invention relates to the technical field of agricultural informatization and intelligent decision making, and discloses a vegetable growth cycle pest control decision making system and method based on a knowledge graph. According to the method, an unstructured agricultural data stream including vegetable varieties, growth stages, environmental parameters, pest and disease records and geographic information is collected from an original database. A data tuple set with a time stamp is generated by performing scanning identification and content extraction on a data stream. Then, clustering is carried out according to the growth stages to which the tuples belong, and stage feature clusters sorted according to the growth cycle are formed; and performing multi-dimensional feature correlation analysis on the stage feature cluster, and establishing a dynamic coupling relationship among the environmental parameters, the disease and pest history and the geographic space features under the growth cycle dimension. And based on the dynamic coupling relationship, generating disease and pest control decision parameters of the vegetables in the specific planting area in each growth cycle stage. According to the invention, accurate matching between the control decision and the crop physiological time sequence and regional characteristics is realized.

The invention relates to a tartary buckwheat pest and disease damage dynamic monitoring method, system and device and a medium, and belongs to the technical field of agricultural intelligent monitoring, the dynamic monitoring method comprises the following steps: periodically collecting environmental parameter data through fixed sensor nodes deployed in a farmland, and obtaining leaf vibration signals and multispectral image data at the same time; performing space-time alignment on the blade vibration signal and the multispectral image data, correcting radiation distortion in the multispectral image data, and outputting a registration data set; according to the registration data set, fusing to generate a multi-modal feature vector, inputting the multi-modal feature vector into a pre-trained space-time analysis model, and outputting a risk level distribution diagram with a geographic coordinate mark; generating a control instruction set according to the risk level distribution map, and triggering execution equipment to execute pest control operation; and optimizing weight parameters of the space-time analysis model through the generative adversarial network based on the execution log of the control instruction set and the historical multi-modal feature vector. The scientificity and timeliness of pest control can be improved.

The invention provides a garlic planting full-process database service system based on agricultural big data, which relates to the technical field of agricultural planting and comprises a planting planning module, a seeding management module, a growth monitoring module, a topdressing irrigation management module, a pest control module and a harvesting decision module. The planting planning module accurately matches varieties and base fertilizer formulas according to soil and yield data; the seeding management and growth monitoring module dynamically optimizes planting measures in combination with real-time data and historical experience; the topdressing irrigation module, the pest control module and the harvesting decision-making module utilize technologies such as image recognition and spectrum detection to realize a precise and scientific management strategy, effectively improve the resource utilization rate, reduce the influence of environmental fluctuation on garlic growth, reduce the use of chemical agents, realize full-process data driving by integrating multi-source data, and improve the management efficiency. Meanwhile, a complete planting file is formed to support strategy iteration, large-scale and efficient development of garlic planting is facilitated, and then the economic benefits of garlic planting are effectively improved.

The invention discloses paenibacillus sp. H31, which is preserved in the China Center for Type Culture Collection (CCTCC), the preservation number is CCTCC NO: M 20252669, and the preservation date is November 24, 2025. The invention further discloses a preparation method of the paenibacillus sp. The paenibacillus H31 disclosed by the invention not only has broad-spectrum disease-resistant activity on pathogenic fungi of various plants, but also has a remarkable growth-promoting effect on pepper, so that the paenibacillus H31 can be widely applied to prevention and treatment of agricultural diseases and insect pests, and sustainable development of green agricultural production is promoted. In addition, the paenibacillus H31 also has the effects of hydrolyzing proteinase and cellulose and decomposing ferritin, so that the paenibacillus H31 also can be applied to the scenes of industrial production and the like.

The invention discloses an early-stage intelligent monitoring system for citrus reiculata Blanco canopy diseases and insect pests based on multispectral imaging, and belongs to the technical field of agricultural information. The system comprises a multispectral imaging module, a three-dimensional point cloud acquisition module, a data fusion module, a time sequence data analysis module, an intelligent identification module and a monitoring result output module. The method comprises the following steps: synchronously acquiring a multispectral image and laser radar point cloud data of a citrus reiculata tree canopy, and generating a point cloud model through spatial registration fusion; continuously recording model data of a plurality of time points, and extracting a time sequence feature vector; identifying disease and pest types and severity by using a deep learning model; and outputting a result to the user terminal. According to the invention, the problem that large-range and high-precision early monitoring of diseases and insect pests of citrus reiculata canopies is difficult to realize in the prior art is solved, early discovery, precise positioning and trend early warning of the diseases and insect pests are realized through air-space-ground integrated data fusion and intelligent analysis, and the intelligent level of orchard management and the disease and insect pest control efficiency are effectively improved.

According to the high-yield and high-quality cultivation technology for the strong-flavor powder glutinous type areca taros, through scientific management measures such as land selection, seed selection, five times of topdressing, four times of stump ridging, irrigation and disease and pest control, the yield, quality and flavor of the areca taros are remarkably improved in combination with application of microbial fertilizers, organic fertilizers, plant ash, organic miscellaneous soil fertilizers and sheep and cow manure fertilizers.

The invention provides a plant disease and insect pest inhibition type organic fertilizer based on nanomaterial loading and a preparation method thereof, and belongs to the technical field of fertilizers, the plant disease and insect pest inhibition type organic fertilizer comprises: a nanocellulose whisker carrier derived from agricultural wastes; the plant-derived insect-inhibiting component is loaded on the surface of the carrier through an ester bond and a hydrogen bond; the sodium alginate-lignin porous gel network is used for wrapping the carrier; through double bonding of an agricultural waste nano-cellulose carrier and tea saponin-allicin and in combination with a sodium alginate-lignin gradient gel network, the residual rate of active ingredients in 60 days is larger than 40%, the rhizosphere targeted enrichment concentration reaches 3.28 times of that of a non-rhizosphere region, the problems that a traditional organic fertilizer is short in lasting period and poor in targeting property, and a synthetic carrier is polluted are solved, and the application prospect is wide. While the pest control efficiency and the crop yield are improved, environment friendliness and cost effectiveness are both considered, and a solution with innovativeness and practicability is provided for organic agriculture.

The invention provides a forage grass pest control device. The forage grass pest control device comprises a tank body with a groove in the middle; the insect plate shaft is rotationally installed on the inner wall of the tank body, one end of the insect plate shaft penetrates through the inner wall of the tank body and extends out of the tank body, an insect plate is fixedly installed on the surface of the insect plate shaft, and the insect plate and the tank body are installed in a matched mode. According to the forage grass pest control device provided by the invention, the ultraviolet lamp is arranged to attract pests, the power grid is used for electric shock to control pests, the driving motor is arranged to link the pest plate to overturn and the scraper blade to clean, so that pest corpse collection and power grid cleaning are integrated, the manual intervention frequency is reduced, and the working efficiency is improved. By arranging an insect plate, under the condition that the dead bodies of pests are few, sealing can be conducted, peculiar smell generated in a biodegradable bag can be prevented from entering the environment, harmful effects are isolated, the biodegradable bag is convenient to replace through a biodegradable bag fixing column, the ecological environment is protected, and secondary damage of the dead bodies of the pests to the environment is avoided.

A formulation containing an attractant specific for a targeted pest insect and an entomopathogenic bio-insecticide to control pest insect populations. By attracting the insect pest into a trapping device, loading it with the formulation and then, at exiting the trapping device, the insect will disseminate in the field where it will eventually die. Wherever some formulated material will have been distributed in the field, further fellow creatures of the same species will be attracted and infected, thus multiplying the effect of the primary trapping device. The pest insect is used as the vector of its own demise, effectively using a minimal amount and limited applications of pesticides of biological origin.

The utility model relates to the technical field of pest control, and discloses a forestry plant protection pest control device which comprises an insecticidal lamp, the top of the insecticidal lamp is fixedly connected with a mounting plate, a cleaning mechanism and a fixing mechanism are sequentially arranged outside the insecticidal lamp, and the fixing mechanism comprises a fixing ring, a connecting ring and a fixing rod. The fixing ring is fixedly connected with the connecting ring, a lead screw is rotatably connected to the interior of the fixing rod, a lead screw sleeve is fixedly connected to the tail of the connecting ring, and the lead screw sleeve is detachably connected to the exterior of the lead screw. The insect-killing lamp is installed outside a tree branch by using the fixing mechanism, the position of the insect-killing lamp is fixed by means of a tree, the stainless steel power grid is cleaned by using the cleaning mechanism, and the problem that existing forestry plant protection pest control equipment is suspended outside the tree branch and lack of stability is solved.

The invention discloses a Yunnan angelica sinensis and white kidney bean intercropping ecological planting method. The method comprises the following steps: (1) seed selection; (2) land selection; (3) soil preparation; (4) compartment arrangement and film covering; (5) sowing and transplanting; (6) field management: a, intertilling and weeding; b, thinning and final singling; c, erecting a frame to guide vines; d, topdressing; e, pipe drainage; (7) pest control; (8) harvesting. The angelica sinensis direct seeding and transplanting and white kidney bean ecological intercropping technology is provided, the economic benefit of the unit land area of the northwest Yunnan high mountain area is improved, leguminous plants have the nitrogen fixation effect, soil improvement is facilitated, the soil ecological environment quality is improved, sustainable utilization of the agricultural environment of the angelica sinensis genuine production area can be achieved, and the economic benefit is increased. The high-quality development of the traditional Chinese medicinal material industry is facilitated.

The invention belongs to the technical field of forestry robots, and relates to a eucalyptus pest control robot based on visual guidance. The robot structure comprises an upper bottom plate, a lower bottom plate, a climbing mechanism, a mechanical arm and a pesticide applying injection mechanism. Wherein a punching and liquid medicine injection device and a binocular camera are mounted at the tail end of the mechanical arm. According to the technical scheme, firstly, a robot is fixed to a tree trunk through a clamping mechanism; secondly, the position information of insect holes in the trunk is collected through a binocular camera, after pose information fed back by the camera is analyzed, an electric push rod is controlled to drive an upper bottom plate and a lower bottom plate to climb and move along the trunk, and when a preset position is reached, the binocular camera at the tail end of the mechanical arm conducts insect hole position collection again; and then calculating to obtain the accurate position of the wormhole under the coordinate system of the punching and liquid medicine injection device, and feeding back to control the mechanical arm to adjust the pose of the mechanical arm, so that a drill bit of the punching and liquid medicine injection device is aligned with the wormhole in the eucalyptus, and punching and liquid medicine injection are performed on the wormhole. The mechanical arm can flexibly move in the working range so as to bypass obstacles, the punching and liquid medicine injection device at the tail end of the mechanical arm comprises a punching drill bit and a liquid medicine injector, and integrated control operation can be conducted on insect pests. The robot aims at eucalyptus pest control, and investment of manpower and material resources can be reduced.

The invention relates to the technical field of microorganisms, in particular to serratia marcescens and application of the serratia marcescens in prevention and treatment of lepidoptera pests. The serratia marcescens CB08 provided by the invention is preserved in the China Center for Type Culture Collection, and the preservation number of the serratia marcescens CB08 is CCTCC (China Center for Type Culture Collection) NO: M 2025266. The strain has a remarkable prevention and control effect on Lepidoptera pests such as spodoptera frugiperda, armyworm, prodenia litura and cotton bollworm, has no pathogenicity on host crops such as corn, is a bacterium with excellent Lepidoptera pest prevention and control potential, has a very wide application prospect, and is expected to bring a new solution to the field of agricultural pest prevention and control.

The invention discloses a bacillus thuringiensis CMS-BT17, which is classified and named as bacillus thuringiensis, is preserved in the China General Microbiological Culture Collection Center (CGMCC), has the preservation number of CGMCC 35313, and is preserved on July 21, 2025. The bacillus thuringiensis strain CMS-BT17 directly separated and screened from a zizania aquatica soil sample in Haikou City of Hainan carries four insecticidal protein coding genes of Cry8Ca, Cry8Da, Spp1Aa and Vpb4Ca, not only is high in insecticidal toxicity and good in insecticidal effect, but also has a certain effect of inhibiting tomato fungal diseases, can be widely applied to prevention and control of agricultural diseases and pests, and has a wide application prospect. The sustainable development of green agricultural production is promoted.

The invention provides a mulberry disease and insect pest early warning model construction and precise pesticide application method, belongs to the technical field of agricultural disease and insect pest prevention and control, and aims to solve the problems of pesticide waste and excessive pesticide residues caused by traditional manual monitoring early warning lag and extensive pesticide application. Precise prevention and control are realized through multi-source data fusion and an intelligent decision technology. According to the technical scheme, the method comprises the steps that a high-precision sensor (the temperature is + / -0.5 DEG C, and chlorophyll is + / -5SPAD) is deployed to collect environment, physiology and pest data, and after cleaning and noise reduction, a machine learning model (50-100 random forest decision trees are arranged, and the optimization target accuracy is larger than or equal to 85%) is constructed; and delimiting a key pesticide application area (the pest and disease damage density is greater than or equal to 10 / hundred plants or the infection rate is greater than or equal to 15%) according to a model result.

The present invention relates to the field of aircraft accessories, specifically a landing gear for a drone for forestry pest control, comprising a connecting frame fixedly mounted on the lower side of the drone, a linkage frame connected to the lower side of the connecting frame via a buffer mechanism, and a support mechanism that is adaptive to the ground being provided on the lower side of the linkage frame. The present invention adopts a combined design of a connecting frame and a buffer mechanism, wherein the buffer mechanism comprises two groups of spring damping rods with different stiffness coefficients, and an operator can flexibly switch the buffer mode by controlling a switching component according to the softness or hardness of the ground, thereby significantly improving the landing safety and adaptability of the drone in different terrains. The present invention adopts a universal joint component and a support leg frame in the support mechanism, and through the linkage design of the double-ring hinge structure of the universal joint component and the support leg frame, the support foot can adaptively adjust its angle according to the inclination of the ground, thereby ensuring that the drone always lands stably in a horizontal posture, and avoiding difficulties in secondary take-off caused by a tilted fuselage.

The invention belongs to the technical field of pest control, and discloses application of a nitrogen-containing heterocyclic compound in control of ampullaria gigas. According to the invention, a nitrogen-containing heterocyclic compound with the activity of killing ampullaria gigas is screened by taking ampullaria gigas arginine kinase as an action target, and the nitrogen-containing heterocyclic compound is N-[4-(3, 5-diphenyl-4, 5-dihydro-1H-pyrazole-1-yl) benzyl]-N-(1-hexyl-1H-benzimidazole-2-yl) amine. The nitrogen-containing heterocyclic compound is used as an active component to be prepared into a suspending agent or a granule, the suspending agent or the granule has an excellent killing effect on ampullaria gigas, and compared with an existing arginine kinase inhibitor quercetin, the nitrogen-containing heterocyclic compound is higher in activity, good in selectivity, low in toxicity to vertebrates and huge in application potential.

The invention relates to a multifunctional plant protective agent as well as a preparation method and application thereof. The multifunctional plant protective agent is prepared from nano SiO2, sodium carboxymethyl starch, sodium butyl naphthalene sulfonate, kaolin, Australian tea tree essential oil, Tween 80 and water. The invention provides a preparation method of a multifunctional plant protective agent, which comprises the following steps: dispersing Australian tea tree essential oil in a Tween 80 aqueous solution to obtain Australian tea tree essential oil dispersion liquid; and mixing nano SiO2, sodium carboxymethyl starch, sodium butyl naphthalene sulfonate and kaolin, and adding the mixture into the Australian tea tree essential oil dispersion liquid to obtain the multifunctional plant protective agent. The invention provides application of a multifunctional plant protective agent in plant pest control. The multifunctional plant protective agent disclosed by the invention not only can kill pests, but also can physically block the pests and repel the pests, and solves the problems that the existing plant protective agent is single in function, and the existing chemical pesticide is strong in drug resistance and easy to cause environmental pollution.

The invention relates to the technical field of forestry pest control, and particularly discloses a forestry pest control device and a control method thereof.The forestry pest control device comprises a top cover, a mounting mechanism is fixedly mounted at the top of the top cover, and a supporting rod is fixedly mounted at the bottom of the top cover; a driving motor operates to drive a driving wheel and a driven wheel to be in matched transmission, so that a rotating ring rotates to drive a side plate to rotate at the bottom of a connecting rod, the side plate assists in driving the driving wheel to move on the outer side of a transmission gear ring, and due to the fact that the transmission gear ring is meshed with the driving wheel, a transmission gear is in a rotating state in the moving period; the transmission gear drives the rotating shaft to rotate, the rotating shaft rotates to drive the cleaning brush to clean the surface of the electric insect net, and continuous rotation can well clean the electric insect net, so that the device can well clean the electric insect net in the use period, insect corpses are prevented from being attached to the outer surface of the electric insect net, and the long-term cleaning effect is kept.

The invention provides a tobacco leaf disease and pest identification method and system, and the method comprises the steps: collecting a tobacco leaf image, and obtaining multispectral reflection data; preprocessing the data to generate a standardized image matrix; extracting a local feature vector based on a dynamic convolution accounting method; matching the feature vector with a disease and insect pest spectral feature library through a multi-modal feature fusion algorithm to generate a fusion feature tensor; carrying out nonlinear mapping on the fusion feature tensor by adopting a self-adaptive weight classifier, and outputting pest and disease damage probability distribution; executing a logic decision according to the probability distribution, and generating a pest type identifier; triggering a control instruction according to the type identifier, and adjusting the operation parameters of the agricultural equipment. According to the invention, accurate identification and automatic control of tobacco plant diseases and insect pests can be realized, the efficiency and accuracy of plant disease and insect pest control are improved, and labor cost and pesticide consumption are reduced.

The invention discloses a sweet potato planting pest analysis method and system based on various environmental characteristics, and the method comprises the steps: setting a plurality of monitoring points in a sweet potato planting region, obtaining multi-dimensional environmental characteristics and pest characteristic data in a historical time period, and converting the data into data items; performing association analysis on the data items by using an Apriori association algorithm, mapping the correlation between the environment and the insect pest characteristics, and screening associated monitoring points; constructing a classification model based on a decision tree, obtaining associated monitoring point data in real time, converting the associated monitoring point data into decision nodes, and performing classification model construction and prediction training; and finally, acquiring non-associated monitoring point data, importing the non-associated monitoring point data into a classification model for real-time classification, performing insect pest associated prediction in combination with an associated monitoring point analysis result, and generating a plurality of efficient insect pest prevention and control schemes. The method effectively integrates the multi-source environment data and the pest data, improves the pest prediction accuracy, achieves the multi-region correlation prediction, and provides a scientific prevention and control basis for sweet potato planting.

The invention discloses an intelligent crop growth cycle management method and system, and the method comprises the steps: dividing dynamic monitoring grids based on the farmland terrain, laying monitoring points at the vertexes of each grid, and collecting the soil fertility and environment data; and generating a full farmland soil fertility index matrix through a spatial interpolation algorithm. Inputting the matrix, the environment data and the crop growth period parameters into a pre-training model, and outputting growth abnormality risk areas and types; driving the unmanned aerial vehicle to get close to the abnormal area to obtain a high-definition image, analyzing the disease and pest or nutrition deficiency symptom through an image recognition model, and generating an illness state verification result; and calling a farming operation knowledge base according to a verification result, and generating and executing a targeted operation instruction containing a fertilization / pesticide application scheme. According to the method, the spatial representation precision of the soil fertility is improved through dynamic gridding monitoring and interpolation, the crop risk is predicted in combination with multi-source data fusion, accurate pathology recognition is realized by utilizing targeted verification of the unmanned aerial vehicle, and the utilization efficiency of agricultural resources and the pest control precision are remarkably improved.

The invention provides a crop disease and insect pest recognition method and device and a prevention and control scheme generation method and device, and belongs to the field of agricultural disease and insect pest prevention and control. Performing pest target segmentation on the to-be-identified pest image based on the large segmentation model to obtain a segmentation mask; and performing pest type identification according to the segmentation mask and the to-be-identified pest image to obtain a pest classification result. According to the method, the contour of a pest and disease target, especially a small target, is efficiently and accurately identified and segmented by segmenting the image segmentation capability of the large model, the corresponding segmentation mask is generated, the type identification is performed according to the obtained segmentation mask result, the position of the pest and disease target is effectively focused in the type identification process, and the identification efficiency is improved. In this way, the image segmentation capability of a segmentation large model and the classification capability of an identification model are combined, the advantages of different models are fully utilized, and the detection effect on a small target is enhanced.

The present disclosure describes methods of using semiochemicals for insect pest control, and more specifically methods of using semiochemicals in agricultural fields for effectively disruptive mating in insect pests based on competitive attraction.

The utility model discloses a pesticide spreading device for pest control and relates to the technical field of greenhouse equipment. The device structurally comprises a guide channel, a suspension guide pulley seat, a driving carrying table, a movable carrying table and a suspension connecting piece, a plurality of suspension connecting pieces are mounted on the guide channel; the suspension connecting piece is mounted on a circular steel pipe horizontally arranged in the center of the top of the greenhouse; the two ends of one side wall of the guide channel are each fixedly provided with a limiting plate. And two suspension guide pulley seats are mounted in the guide channel in a rolling manner. According to the utility model, the guide channel, the suspended guide pulley seat, the driving carrying platform and the movable carrying platform are matched for use, so that automatic spraying operation on crops in a greenhouse is realized; the problems that in the prior art, an existing device is complex in structure, large in installation and combination difficulty with a greenhouse steel structure, inconvenient to operate, incapable of being flexibly adjusted according to the crop height and uneven in spraying are solved. The automatic operation and sudden stop functions are also realized, the spraying efficiency and the safety are improved, and the labor intensity is reduced.

The invention relates to the technical field of agricultural pest control, and particularly discloses a rice pest infection process inversion device, which comprises a base, crawler belt bodies are arranged on both sides of the bottom end of the base, and through high-frequency acquisition and external data import of an ASD spectrometer, in combination with labeling and data enhancement processing of a spectrum curve, the inversion result of the rice pest infection process is obtained. The comprehensive coverage rice blast database is constructed, deep learning training is carried out based on the comprehensive database, the formed rice blast diagnosis model can accurately capture subtle changes of substances in rice on a spectrum curve, and accurate judgment of the rice blast infection degree is achieved. In addition, by means of the rice growth whole process image reconstruction technology, the WOFOST growth model and the hyperspectral reconstruction technology, the spectral information change curve of the sensitive wave band of the rice in the whole phenological period can be inverted, the rice blast infection process can be visually presented, and the method can be used for identifying the rice blast early-stage recessive characteristics. And a scientific decision basis is provided for pest control.

The agriculture and forestry fruit tree pest control device comprises a placing plate and wheels, the outlet end of a water pump is communicated with a liquid conveying pipe, the other end of the liquid conveying pipe is communicated with a pesticide spraying rod, one end of the pesticide spraying rod is communicated with a spraying head, and a valve is arranged on the outer side of one end of the spraying head. When branches and leaves at the top end of the climbing frame need to be sprayed with pesticide, an electric telescopic rod drives a pesticide spraying rod to rotate around one end of a supporting seat, so that the pesticide spraying rod is in a vertical state, then a second motor drives a screw rod to spirally rotate on the inner side of a moving plate, and the moving plate drives the pesticide spraying rod to move upwards through the supporting seat; a pesticide spraying rod penetrates through a gap in the inner side of the climbing frame to move to the position above branches and leaves at the top end of the climbing frame, then an electric telescopic rod drives the pesticide spraying rod to be in a horizontal state, and then a water pump can spray pesticide liquid on the inner side of a pesticide storage box to the branches and leaves at the top end of the climbing frame through the pesticide spraying rod and a spray head through a liquid conveying pipe. Therefore, the branches and leaves at the top end of the climbing frame can be conveniently sprayed.

The utility model belongs to the technical field of plant disease and insect pest control, and discloses a plant disease and insect pest fixed-point control device which comprises a first half ring and a second half ring, driving plates are fixed to the bottom faces of the first half ring and the second half ring correspondingly, and pesticide containers with the upper ends open are installed on the bottom faces of the multiple driving plates correspondingly; a plurality of drug release holes are formed in the side walls of the drug containers, a connecting rod is fixed to the side wall, close to the second semi-ring, of the first semi-ring, a connecting groove matched with the connecting rod is formed in the side wall, close to the first semi-ring, of the second semi-ring, and a limiting assembly used for limiting the connecting rod is arranged on the second semi-ring. The effect of improving the structural strength of the prevention and treatment device is achieved.