1399 results about "Insect" patented technology

Frog farming method and frog cage are provided. The method comprises: I, putting young frogs in the frog cage in spring; II, putting lure attracting mosquitoes into the frog cage into the frog cage in summer and autumn, thereafter the frogs feed on the mosquitoes; III, avoiding snakes entering the frog cage in the place where the snakes inhabit; IV, covering the frog cage with plastic film in winter, mounting an electric lamp in the frog cage, increasing the temperature of air in the frog cage to keep the frogs not hibernating and promote the frogs to grow; V, adding artificial lure if necessary. The frog cage includes a fixed frog cage and a vehicle-mounted frog cage, both including inner tiers, wherein a water basin, a terrace and a stairway communicating the upper and lower tiers are arranged on each tier, and the frog cage is covered with a mesh enclosure. The frog framing method and frog cage have the advantages that the frogs are farmed in multi-tier cages, lures are used outdoors to attract insects, pests are eliminated for crops, natural ecology is balanced, and food sources are also provided for human; cage framing of frogs is very low in cost; frogs farmed have high reproductive rate, high disease resistance and high feed conversion capacity.

The invention provides a large-scale insect and bird migratory flight monitoring system based on a weather radar net, and the system employs a data collection module to obtain S, C and X wave band weather radar monitoring data of the national weather radar net, and a quality control module carries out the quality control of the radar-based data in the monitoring data, and further provides the radar-based data to an echo recognition module to construct recognition features. A classification recognition result is obtained by adopting a recognition model corresponding to the wave band; the inversion quantification module inverts the insect and bird density, the insect and bird speed and the vertical distribution of the movement direction based on the classified and identified insect and bird echoes to obtain an inversion quantification result; and the classification identification result and the inversion quantification result of the single wave band form a local monitoring result. And the visualization module displays a single-band local monitoring result or a multi-band fusion monitoring result. According to the invention, multi-band data can be collected, monitoring results are fused, real-time and efficient monitoring of migration of insects and birds is realized, and the monitoring range is expanded.

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

The invention relates to the technical field of intelligent power grids, in particular to a low-voltage draw-out type switch cabinet which comprises a cabinet body, a power grid arranged on the inner side wall of the cabinet body, a heat dissipation plate arranged on the inner side wall of the cabinet body, a plurality of static contacts arranged on the inner side wall of the cabinet body and a cleaning mechanism arranged on the inner side wall of the cabinet body and used for cleaning the power grid. The cleaning mechanism comprises two first electric sliding rails arranged on the inner side wall of the cabinet body, according to the low-voltage draw-out type switch cabinet, the overturning plate is driven by the first motor to rotate at multiple angles, the spraying head can evenly cover the outer corners of the cabinet body after the insect repellent is atomized, reptiles are dispersed from the source, and the low-voltage draw-out type switch cabinet is convenient to use. The cleaning mechanism can be quickly started, heat dissipation blocking and equipment faults caused by accumulation of dead insects are prevented, and it is guaranteed that the low-voltage draw-out type switch cabinet is always kept in a safe and stable working state in long-term operation.

The invention relates to the technical field, in particular to an intelligent crop insect pest recognition and early warning system based on a multi-modal large language model, which is based on a numerical difference and fluctuation detection mechanism, eliminates sudden change and abnormal sampling, extracts time correlation characteristics of parameters such as temperature and humidity, illumination and wind speed, effectively restores an insect pest occurrence environment, and improves the early warning efficiency. After images and environment data are aligned through a time index, a unified time sequence feature structure is constructed through transverse splicing, linear zooming and missing processing, a generative adversarial network is introduced for weighted combination, a single-channel fusion representation vector is constructed, cross-modal data consistency and representation precision are improved, and a neighbor category center is matched by adopting an Euclidean distance, so that the cross-modal data consistency and representation precision are improved. And performing difference value superposition and center updating on the deviation vector in combination with an isolated forest, so that a label result has adaptive expansion capability and abnormity identification capability, matching a preset message template, formatting the pushed content into a short message and an application message through interface calling, and realizing instant notification of the insect attack event.

The invention discloses a chilo suppressalis indoor artificial feeding feed and a feeding and reproduction method, and relates to the technical field of insect feeding. By optimizing the proportion of the indoor artificial breeding feed for the chilo suppressalis and the breeding method, the method has the following technical effects that (1) the survival rate of larvae within 15 days reaches 100%, and the survival rate of the larvae is increased; (2) the optimized feed formula can meet the nutritional requirements of larvae in each stage, the taste is good, the feed attraction is strong, and the synchronous development is promoted; (3) the breeding efficiency is improved; (4) the disease and pest risk is reduced, and the disease occurrence rate is lower than 5%; and (5) ensuring the quality of the insect source: the obtained chilo suppressalis insect source is consistent in physiological state and neat in development, the insect body conversion rate reaches 69.6%, and the insect use requirements of large-scale experiments are met.

The invention discloses a double-stranded RNA (Ribonucleic Acid) aiming at hemiptera insects as well as a pesticide composition and application of the double-stranded RNA. The dsRNA provided by the invention is used as a biopesticide, has the characteristics of high efficiency, specificity, fast degradation and no residue, realizes the prevention and control of brown planthopper through an RNAi mechanism, and is beneficial to reducing the use of chemical pesticides. The invention provides a brand new brown planthopper target gene as a target of RNA interference. The survival rate result shows that the genes play an important role in the survival process of the brown planthopper, are effective targets for preventing and treating the brown planthopper by using a gene silencing means, and have a wide application prospect. Correspondingly, the invention provides a plurality of dsRNA sequences aiming at the targets, and part of the sequences show unprecedented brown planthopper control efficiency.

Compounds of the formula (I) wherein Q is as defined in claim 1. Furthermore, the present invention relates to agrochemical compositions which comprise compounds of formula (I), to preparation of these compositions, and to the use of the compounds or compositions in agriculture or horticulture for combating, preventing or controlling animal pests, including arthropods and in particular insects, molluscs, nematodes or representatives of the order Acarina.

Described is a netting support system adapted to span an adjustable ventilation opening, wherein the netting support system includes an insect netting to prevent passage of insects through the adjustable ventilation opening. The insect netting is pleated in an accordion-style configuration to collapse in a stacked manner when the adjustable ventilation opening is closing and to expand when the adjustable ventilation opening is opening. The netting support system further includes a guiding arrangement for the insect netting, wherein the guiding arrangement includes a stretchable wire connected to at least one net connection fixed to the insect netting. The stretchable wire maintains the insect netting in the accordion-style configuration when the insect netting spans the ventilation opening.

The invention relates to an eDNA method for identifying bumblebee honeycombs in permafrost regions of Qinghai-Tibet Plateau. The eDNA method comprises the following steps: S1, positioning observation sample belts and arranging sampling points on the basis of multi-source data in combination with a Bayesian hierarchical model; s2, performing deep freezing and complete excavation on matrixes around and inside all the sampling points; s3, stratified sampling and anti-degradation treatment are carried out, and a spatial attribute database is established; s4, extracting and purifying eDNA (enhanced deoxyribonucleic acid); s5, determining a nest host based on PCR amplification, high-throughput sequencing and sequence comparative analysis; and S6, constructing a Bayesian hierarchical model in combination with biological information, and judging honeycomb characteristics. The method is simple, rapid and low in cost, not only is suitable for Qinghai-Tibet Plateau permafrost regions, has the core advantages of non-destructiveness and high sensitivity, but also is also suitable for underground insect nest identification research in other environment sensitive regions or regions difficult to physically explore in principle, and has wide application prospects. The method is especially suitable for monitoring rare, secret or difficult-to-approach organisms.

The invention provides a composition for luring bactrocera cucurbitae and application thereof, and relates to the technical field of green prevention and control of agricultural pests. The composition comprises the following active ingredients in percentage by weight: 10% of muscovone, 0.1% of heptanal and 0.1% of hexene. The main components of the composition all come from natural plant volatile matters, and the composition is easy to degrade in the natural environment, has no residual risk and is friendly to the ecological environment. Meanwhile, the composition has high safety to bees, pollination insects and other non-target organisms, and ecological side effects possibly brought by traditional chemical attractants are effectively avoided. According to the implementation of the method, an efficient and specific tool is provided for field monitoring of bactrocera cucurbitae populations, the occurrence dynamic of the bactrocera cucurbitae can be accurately mastered, the early warning capability is improved, a new technical path and an implementation basis are provided for promoting green comprehensive treatment of the bactrocera cucurbitae, and the method has good popularization and application prospects.

The artificial feeding device comprises a breeding mechanism and a humidifying mechanism, the breeding mechanism comprises a breeding container, a water seepage hole is formed in the center of the bottom of the breeding container, a filter screen is arranged at the bottom of the breeding container, and a sandy soil layer is arranged on the upper side of the filter screen; the humidifying mechanism comprises a humidifying container, the lower portion of the breeding container is placed in the humidifying container, and a plurality of water is added to the inner bottom of the humidifying container. The artificial feeding device for the pteropsidae larvae is used for artificial feeding of the pteropsidae larvae, staged isolated breeding can be conveniently carried out according to the growth cycle of the pteropsidae larvae, the breeding environment can be controlled, sandy soil can be conveniently replaced in good time, the insect growth environment is protected, and the artificial feeding survival rate of the pteropsidae larvae is increased; the whole growth process of the larvae is conveniently observed, and the species of the larvae are accurately determined.

This utility model provides an insect branch-fixing survey and rearing observation box, relating to the technical field of insect observation devices, and is designed to solve the problem of easy damage to branches in existing insect survey techniques. The insect branch-fixing survey and rearing observation box includes a first half-box and a second half-box. The first half-box has a first upper half-hole and a first lower half-hole, and the second half-box has a second upper half-hole and a second lower half-hole. The first and second half-boxes are joined to form a receiving cavity. When the first and second half-boxes are joined, the first and second upper half-holes together form a first hole for the branch to pass through, and the first and second lower half-holes together form a second hole for the branch to pass through. The first and second holes are respectively sealed to the branch at different locations. Both the first and second half-boxes are made of transparent material, and at least one of the first and second half-boxes has a ventilation window with a detachable mesh screen. This utility model is less likely to damage branches.

The application aims to provide a single-motor driven multi-mode ornithopter simulating the flight posture of insects and birds, comprising a fuselage, a foldable wing mechanism, a flapping wing and ground walking mechanism, and a steering tail wing mechanism; the flapping wing and ground walking mechanism is a spatial five-link mechanism; in the flight state, the motor outputs power, the five-link mechanism drives the wing to complete the flapping action; in the ground walking state, the electromagnet connection hole is not electrified, the connecting rod driving wheel and the electromagnet right-angle connecting shaft are disconnected, the wing is in the folded state, and the rotation output of the motor is the rotation movement of the driving connecting rod driving wheel; the application integrates the connecting rod and the wheel, realizes the function of single-motor driving two modes, simplifies the mechanism complexity, reduces the manufacturing difficulty, lightens the ornithopter weight, and has good obstacle crossing ability and can cross narrow space.

The invention discloses an artificial mangrove forest pest monitoring and early warning method and system, and belongs to the technical field of ecological environment monitoring, and the method comprises the steps: collecting multi-frequency pest acoustic signals and low-altitude thermal infrared image data, constructing a pest energy density field, and forming a multi-dimensional propagation feature matrix; establishing a pest risk node map based on the matrix, simulating a propagation path and calculating a pest energy coupling strength coefficient; carrying out energy refraction remapping and abnormal superposition region identification, extracting an energy convergence core region, and generating a propagation trend trajectory diagram; constructing a combined prediction model of the microscopic infection characteristics and the macroscopic diffusion situation of the insect pests, outputting an evolution stage risk curve, and identifying secondary outbreak latent points; the method has high adaptability, high accuracy and response preposition, and the intelligent level of mangrove forest pest monitoring and early warning is remarkably improved.

This disclosure relates to the field of molecules having pesticidal utility against pests in Phyla Arthropoda, Mollusca, and Nematoda, processes to produce such molecules, intermediates used in such processes, and processes of using such pesticidal compositions against such pests. The pesticidal compositions comprise (A) an oxathiazolidine derivative of formula one and (B) a mixing partner and may be used, for example, as acaricides, insecticides, miticides, molluscicides, and nematicides.

The invention belongs to the field of biological prevention and control, and discloses an insect specific virus NLBV3 and application thereof in reducing transmission of rice odontodwarf virus of brown planthopper. The NLBV3 virus genome comprises three chains, the L chain encodes RNA dependent RNA polymerase (RdRP), the M chain encodes glycoprotein precursor (GP), the S chain encodes nucleoprotein (NP), and the nucleotide sequences are respectively shown as SEQ ID NO: 1, SEQ ID NO: 2 and SEQ ID NO: 3; the application is realized by releasing the NLBV3-carrying brown planthopper population, and according to the screening and detection method of the NLBV3-carrying brown planthopper high-virus population provided by the invention, natural brown planthoppers can be effectively infected after the NLBV3-carrying brown planthopper high-virus population is released, the RRSV transmission capability of the brown planthoppers is reduced, and the virus is prevented from damaging rice production. The NLBV3 provided by the invention is an insect specific virus, is harmless to mammals, fishes and shrimps, natural enemy insects and pollination insects, and has the advantages of specific action object, environment friendliness and the like.

The invention discloses a method for cultivating trichogramma ostriniae in vitro, and belongs to the field of insect feeding. The artificial host ovum comprises a sealed hemisphere prepared from a plastic penetrating material, an oviposition attractant coated on the outer convex surface of the hemisphere and an internal artificial culture solution, the artificial culture solution is a tussah egg solution. According to the method, the tussah egg liquid is used for cultivating the trichogramma ostriniae, and the effect of reducing the breeding cost can be achieved. The body length of the trichogramma ostriniae cultivated by the method is increased by about 21.4% compared with that of trichogramma ostriniae bred by rice moth eggs; the average brood amount is increased by about 24.9%; the parasitic rate is obviously higher than that of trichogramma ostriniae bred by rice moth eggs. The biological control effect on the trichogramma ostriniae is remarkably improved.

The invention discloses an insect body echo self-adaptive filtering method based on micro-motion phase self-correlation matching, belongs to the technical field of radars, and is used for solving the problems that an existing filtering mode of the main Doppler frequency of an insect target has certain limitation, full-scene adaptation is difficult to realize by a fixed window length, and the filtering efficiency is low. And low-frequency filtering causes that the insect target in low-frequency vibration flight cannot be effectively extracted and identified. The method comprises the following steps: carrying out instantaneous Doppler frequency model modeling processing on an original insect echo signal to obtain a target instantaneous Doppler frequency model; performing smoothing processing based on different sliding window lengths on the target echo phase to obtain a micro-motion phase after the main Doppler component is filtered; carrying out self-correlation function calculation under a related self-adaptive window length on the micro-motion phase after the main Doppler component is filtered out; determining an optimal filtering window length corresponding to the current insect phase signal; and performing slow-time signal echo compensation processing on the current insect phase signal to obtain a micro-motion signal of the current insect.

The utility model relates to the technical field of insect experiments, and discloses an automatic counting and separating device for small insects, a box door is arranged on one side of a box body, and a first partition plate and a second partition plate are respectively arranged in the box body; the placement assembly is arranged at the top of the first partition plate and used for containing small insects; the insect guide assembly is arranged at the top of the first partition plate and located below the placement assembly, and the insect guide assembly is used for guiding out small insects; the fixing assembly is arranged at the bottom of the box body and is used for placing small insect experiment containers; experimental insects are placed in the insect carrying box, then the insects enter the insect guide hopper through the insect holes and then are guided into the test container below the second partition plate through the slide way, so that an insect test can be carried out, the experimental insects do not need to be manually clamped by a brush or tweezers, and the work efficiency is greatly improved. The damage to experimental insects is avoided, so that the influence of human factors on experimental data is reduced.

The invention relates to the technical field of insect image recognition, and discloses a lightweight insect recognition method based on knowledge distillation, which comprises the following steps: carrying out local preprocessing on an insect image to be recognized to obtain a preprocessed image; performing feature extraction and channel expansion on the preprocessed image to obtain a convolution feature map; dividing the convolutional feature map into a plurality of image blocks with fixed sizes, and mapping each image block into a corresponding Token to obtain a Token sequence for a local self-attention mechanism; applying self-attention to local regions of the Token sequence for the local self-attention mechanism to model a global relationship of the local regions in the image to obtain a Token sequence for classification; the Token sequences used for classification are converted and fused into global image representation, and softmax probability vectors corresponding to candidate insect species are output; the softmax probability vectors are processed in a descending order, the first k categories are selected as candidate results, a top-k candidate list is output, and local lightweight insect recognition processing can be achieved.

The utility model discloses an insect condition monitoring identification mechanism, including insect condition identification mechanism and armyworm mechanism, the insect condition identification mechanism is connected with the armyworm mechanism, the insect condition identification mechanism includes fixed shooting assembly and displacement shooting assembly, the fixed shooting assembly is used for obtaining the insect sample distribution map on the whole shooting table, and the displacement shooting assembly is used for obtaining the displacement shooting assembly. The displacement shooting assembly is used for obtaining pest characteristics through accurate macro shooting, the pest sticking mechanism comprises a release assembly and a recovery assembly, and the release assembly is in transmission connection with the recovery assembly. Through the implementation of the utility model, the insect condition identification mechanism composed of the fixed shooting assembly and the displacement shooting assembly improves the definition of shooting identification, small insect body samples are relatively clear, the types of insects can be accurately identified, support is provided for subsequent insect condition analysis, and the insect condition identification mechanism has certain use value and popularization value.

An insect monitoring system for luring and capturing insects including a digital camera with dual UV and white LEDs and a processor configured to acquire visual insect data to recognize insect species in conjunction with previously tagged insect groups; and evaluate insect migration and / or dispersion within a habitat range. A method utilizing UV tagging mechanisms for monitoring and predicting insect migration and / or dispersion including providing insect monitoring stations for collecting data indicative of a previously tagged insect groups' presence within a habitat range, providing the data to a server, retrieving previously received data, and determining a change in the data to provide historical, real-time, and predictive information to a user.

Disclosed are recombinant insect ferritin nanoparticles that can be used to display two different trimeric antigens at an equal ratio. Also disclosed are nucleic acids encoding the recombinant insect ferritin nanoparticles and methods of producing the recombinant insect ferritin nanoparticles. Methods for eliciting an immune response in a subject are also provided.

The invention belongs to the field of microorganisms, and particularly discloses Aspergillus nomiae for preventing and controlling spodoptera frugiperda. The technical problem to be solved by the invention is how to prevent noctuid insects from harming plants. The invention provides aspergillus for preventing and treating noctuid insects from harming plants, the aspergillus is Aspergillus nomiae WNAN1, and the preservation number of the aspergillus nomiae is CGMCC (China General Microbiological Culture Collection Center) No.41741. The invention further provides a preparation method of the aspergillus nomiae. Experiments prove that the aspergillus has a relatively high fatality rate on third-instar larvae of the spodoptera frugiperda, and can be used for preventing and controlling the spodoptera frugiperda.

The application provides a forestry insect expelling device, which comprises a main box body and a sub-box body, a moth attracting lamp and an electric net are fixedly installed at the bottom end of the cover plate of the main box body, a plurality of nozzles obliquely facing the electric net are fixedly installed at the bottom end of the cover plate, a charged cleaning liquid tank and a control tank are arranged in the sub-box body, a ring-shaped pipe is connected to the output end of a pump body in the charged cleaning liquid tank, the ring-shaped pipe is communicated with the nozzles, a moth attracting agent box is fixedly connected to the bottom end of the electric net, a moth attracting agent strip is installed in the moth attracting agent box, a protective net is arranged at the bottom end of the moth attracting agent box, a motor is fixedly installed at the bottom end of the main box body, the output end of the motor is drivingly connected with a first scraper plate in contact with the inner wall of the main box body, a second scraper plate in contact with the bottom end of the protective net and a brush plate perpendicular to the second scraper plate, the brush plate is fixedly provided with bristles in contact with the electric net, ventilation openings are arranged at the two sides of the main box body close to the top end, and a controller arranged in the control tank remotely controls each power unit through a wireless transceiver. The application can realize efficient insect expelling and killing, and is convenient to manage.

The utility model relates to an anti-insect cover for an overflow pipe, which is characterized in that a fastening component is arranged at one end, far away from an outlet, of a pipe body, the anti-insect cover is fastened on the overflow pipe through the fastening component, the anti-insect cover is horizontally and rotatably arranged in the middle of the outlet of the pipe body through a rotating shaft, and the anti-insect cover is rotatably arranged on the rotating shaft. The pipe body is provided with a limiting assembly used for limiting the insect-proof cover to rotate by more than 90 degrees, the pressure block is arranged on the side, covering the insect-proof net, of the insect-proof cover, so that the insect-proof cover is in the horizontal position when no water overflows out of the pipe body, the insect-proof net is just covered with one side of the insect-proof cover, and the second outlet is covered with the other side of the insect-proof cover. When water flows out of the pipe body, water flow impacts the insect-proof cover to enable the insect-proof cover to turn over towards the second outlet, the insect-proof cover is limited through the limiting assembly, the insect-proof cover rotates to the vertical position at most, the situation that the second outlet is blocked due to the fact that the rotating angle of the insect-proof cover is too large is avoided, and therefore the insects can be prevented from entering the pipe body; and water in the pipe body can be effectively discharged.

The application provides a circular array direction of arrival estimation method based on a quantum stick insect mechanism and a Sigmoid kernel related entropy, fuses a quantum optimization method into a stick insect bionic mechanism calculation method, obtains a calculation method of the quantum stick insect mechanism, and improves the convergence performance of the stick insect algorithm. A cross-correlation entropy covariance matrix based on a Sigmoid kernel function is constructed by using received information data, a low-order matrix based on the Sigmoid kernel related entropy is obtained, the deficiency that the second order and above are weak in anti-impact noise ability is eliminated, and the maximum likelihood equation based on the Sigmoid kernel related entropy is solved in a search interval by using the designed quantum stick insect mechanism. The problem of large calculation amount of multi-dimensional nonlinear optimization involved in the maximum likelihood method is solved, the search efficiency is improved, the estimation accuracy of the direction of arrival in an impact noise environment is also improved, and the quantum stick insect mechanism designed based on quantum coding and a simulated quantum evolution equation has a faster convergence speed, so that the global optimal solution of the estimated two-dimensional direction of arrival can be quickly obtained.

The utility model discloses a storage water tank stock bin type manual and automatic integrated escape pipe, which belongs to the technical field of escape pipes and comprises an escape pipe body arranged at the bottom of a water tank body, the bottom of the water tank body is of a stock bin type structure, a manual and electric integrated control valve is arranged on the escape pipe body, and an insect prevention structure is arranged at the outlet end of the escape pipe body. The distance between the insect prevention structure and the ground is 0.2 m, the escape pipe body is of a snake-shaped structure, the escape pipe is convenient to disassemble for cleaning, replacement and subsequent overhaul, and the maintenance efficiency is improved.

The utility model relates to the technical field of bark beetle trapper, specifically relates to a detachable bark beetle trapper and windproof fixing support, include: bark beetle trapper body and collect insect net bag, collect insect net bag is located inside bark beetle trapper body, the side of bark beetle trapper body is provided with the plug -in installation component. The utility model discloses through setting up plug -in installation component and moving out locking assembly, through the plug -in of plug -in half ring's plug -in half ring and the plug -in of moving out groove, the preliminary positioning is realized, the locking is completed to the plug -in groove under the clamping block spring action, and the movable block is cooperated with the clamping block and can push back the clamping block and move the groove and release locking, so that plug -in half ring can realize quick dismounting and installation, and further reach the device without disassembling other components can quickly complete collect insect net bag and change, solve the problem that the net bag needs to be disassembled first in the prior art and lead to low efficiency, improve the effect of convenient use.