24 results about "Locust" patented technology

The invention discloses a locust microsporidia strain and a preparation and use method thereof, and relates to the technical field of locusts, the locust microsporidia strain and locust microsporidia have the preservation number of CGMCC No.19390 and are named as PL-GM1 strain. The preparation method of the locust microsporidia strain comprises the following steps: S1, screening high-temperature-resistant mutant strains; s2, other high-temperature-resistant microorganisms are used in a combined mode; s3, cultivating healthy insects; s4, healthy insect inoculation; s5, feeding diseases and pests; s6, microspores are processed and inspected, packaging and quality inspection are conducted, and finally freezing storage is conducted. According to the method, high-temperature-resistant mutant strains are screened, high-temperature-resistant culture can be conducted on the locust microsporidia of the PL-GM1 strain, and the locust microsporidia of the PL-GM1 strain can have the high-temperature-resistant characteristic; other high-temperature-resistant microorganisms are used in a combined mode, the microsporidia screened in the step S1 and the other high-temperature-resistant microorganisms are co-cultured, and the high-temperature-resistant capacity and the prevention and treatment effect of the microsporidia are enhanced.

The application discloses a kind of locust rearing screening devices, it is related to locust rearing device technical field.The supporting frame, first screening unit, second screening unit and excrement collection unit are included;First screening unit includes first frame and first screening frame, one side of first screening frame is rotatably connected with first frame, and the other side is connected with first frame by first buckle, and first screening frame can be turned down;Similarly, second screening frame can also be turned down.First screening frame includes first pull rod, first screen and first telescopic motor, and first telescopic motor is used to control first screen to realize the screening of locust by horizontal reciprocating motion, and similarly, second screening frame can also realize screening.The locust rearing screening device provided in the application has simple structure, can automatically batch screen locusts, and can also automatically load locusts into insect rearing cloth bag after screening.

According to the preparation method of the Chinese honeylocust fruit extract botanical surfactant, the quality and the yield of Chinese honeylocust fruit powder are remarkably improved through the processes of smashing, decolorizing and the like, and the prevention and treatment effect of Oxazol sufu on plutella xylostella and brown planthopper is improved through a composition with the obtained Chinese honeylocust fruit extract and Oxazol sufu as active ingredients.

1. Name of the product in this design: Toy (Locust-Grasshopper). 2. Purpose of this design: For use as a toy for play. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention relates to the technical field of agricultural pest monitoring, in particular to an intelligent locust population density monitoring method based on AI visual identification, which comprises the following steps: acquiring a locust moving image sequence of a target area through a multispectral camera device, and synchronously acquiring geographic coordinates and environmental parameters; performing moving target detection on the image sequence, and fusing a background difference method and an optical flow method to separate a dynamic locust target; using an improved YOLOv8 deep learning model to identify and classify locust individuals, and outputting target position and category information; performing statistical modeling on the number of the locusts in the high-density overlapping region based on a density map regression network; a three-dimensional population density thermodynamic diagram is generated in combination with a geographic information system (GIS), and a migration path is predicted. In the aspect of detection precision, the absolute error can be less than or equal to 15% within the density range of 100-500 pieces / m < 2 >; in the aspect of data processing efficiency, the processing time for uploading a 1080P image is less than or equal to 0.2 second / frame; and the operation and maintenance cost is reduced by about 70% compared with manual inspection in the aspect of system cost.

The invention relates to the technical field of pest catching, in particular to locust catching equipment which comprises a saddle and two lap joint plates symmetrically and fixedly mounted on the saddle, and catching boxes are arranged on the bottom surfaces of the two lap joint plates. Two spring damping rods are symmetrically and fixedly installed between the top faces of the two catching boxes and the bottom faces of the two lap joint plates, a storage box is arranged at the ends of the catching boxes in a penetrating mode, catching assemblies are arranged in the catching boxes, and shaft rods are rotationally installed on the bottom faces of the catching boxes and the bottom face of the storage box through connecting frames. Compared with the prior art, when the driving source moves, the supporting wheel rotates to drive the winding disc to rotate, the sliding plate is pulled upwards through the pull rope, and therefore the catching opening is opened, when the driving source stops, the sliding plate automatically slides downwards under the gravity effect, the protective net cloth is unfolded to seal the catching opening, and the caught locusts are effectively prevented from escaping; the design ensures that the caught locusts do not escape easily when the device does not operate, and the overall catching efficiency is improved.

The utility model relates to the technical field of locust trapping, in particular to a grassland locust trapping device which comprises a trapping box, trapping openings are formed in the two sides of the trapping box, sliding openings are formed in the two sides of the trapping box, and insect expelling mechanisms are installed in the sliding openings in a sliding mode. The wind wheel is driven by wind power to rotate, the driving rod is driven by the wind wheel to rotate, the driving disc is driven by the driving rod to rotate, the driving disc drives the driving block to move, the driving block drives the driving toothed bar to swing in a reciprocating mode with the rotating rod as the fulcrum, and one end of the driving toothed bar drives the first-stage rack to horizontally reciprocate. The first-stage rack drives the second-stage rack to reciprocate, the second-stage rack drives the gear to rotate in a reciprocating mode, the gear drives the repelling plate to swing in the trapping box in a reciprocating mode, at the moment, locusts are disturbed to move downwards and enter the collecting net through the guiding hopper, and compared with the mode that the locusts are killed directly through insecticide, the trapping performance in the trapping box cannot be reduced; therefore, the working stability of the device is ensured.

The invention provides an Italian locust pest occurrence probability prediction method and device, a medium and equipment, and relates to the technical field of agricultural insect pests, and the method comprises the steps: obtaining historical occurrence point data and environmental data of Italian locust pests, carrying out the relative registration and preprocessing, and obtaining environmental factors; through a MaxEnt model and a Pearson correlation coefficient, environment element variables related to Italian locust damage are extracted, and key environment factors are obtained; decision analysis is selected to carry out reclassification and weighting processing on the key environment factors to obtain environment factor indexes, and an Italian locust pest occurrence probability prediction model is constructed based on a multi-criterion analysis method; and the weather forecast data and the vegetation data of the to-be-evaluated region are sent to the Italian locust pest occurrence probability prediction model, a corresponding Italian locust pest occurrence prediction result is obtained, and a grade prediction result is obtained in combination with a set grade division rule. And a new thought and reference are provided for remote sensing dynamic monitoring and prediction of grassland locusts.

The application discloses a kind of prevention and treatment method of locusts of pagoda tree, belong to the technical field of insect control, first prepare a kind of locusts of pagoda tree food lure, then tie a layer of straw pad at the lower end of the trunk of whole tree, spray locusts of pagoda tree food lure on straw pad, and loosen soil in the area where pagoda tree is planted, and raise poultry in the control area to prevent and treat locusts of pagoda tree.The application does not need to prevent and treat according to the growth cycle of locusts of pagoda tree with different agents and measures, and will not cause pollution and damage to the environment, can reduce the damage of locusts of pagoda tree to pagoda tree, inhibit the eating of locusts of pagoda tree, so as to have better insecticidal effect and longer action period.

The invention discloses a locust monitoring device based on sound signals and a multi-mode automatic trapping function, and relates to the technical field of harmful insect monitoring. The multi-mode trapping device jointly promotes the locusts to be trapped to the trapping area through the combination of the light trapping structure, the pheromone trapping structure and the sound trapping structure, and then the trapping area is automatically photographed and image signals are received through the image acquisition device. The system is used for comprehensively analyzing diversified data including locust occurrence density, category, direction, age and the like from multiple angles, and judging the locust occurrence condition of the area where the device is located, so that the locust occurrence condition of the area where the device is located can be estimated more accurately, sensitively and efficiently, locust disasters are effectively inhibited in time, and the ecological environment is protected.

The application provides a mobile grassland locust monitoring and trapping device, and relates to the technical field of locust monitoring and trapping, which comprises a tracked vehicle, a monitoring mechanism, a suction pipe, a trapping mechanism and a trapping net. A bottom plate is arranged on the top of the tracked vehicle, and a mounting frame is arranged on one side of the bottom plate. The monitoring mechanism comprises an image acquisition panel, and a mounting box is arranged in the mounting frame through bolts. The image acquisition panel can be freely flipped by 360 degrees, which is convenient for multi-range and multi-angle locust monitoring. In addition, the image acquisition panel can be completely hidden in the mounting box during the period when the locusts are not active. Four hooks can be synchronously changed in range by the rotation of four inclined grooves with the same slope, and the range can be freely expanded and reduced. The design can be suitable for trapping nets of different sizes, and the trapping net can be tightened, which is more conducive to the adhesion of locusts and convenient for trapping.

The invention discloses grasshopper umami peptide and a preparation method and application thereof. The amino acid sequences of the grasshopper umami peptide are NGWGDY, NVTY, VVNY, NGSGL and GDRFL. The preparation method I comprises the following steps: (1) sequentially carrying out swelling, washing, Fmoc protecting group removal and condensation reaction on dichloro resin; and (2) cutting and purifying. A second preparation method comprises the following steps: (1) cleaning, blanching, air-drying, crushing, sieving and degreasing the locusts in sequence; (2) dissolving in water, adjusting the pH value of the solution, adding Alcalase, carrying out enzymolysis, enzyme deactivation and centrifugation, taking supernate, and carrying out freeze drying; (3) dissolving in water, performing ultrafiltration separation, collecting permeate, and concentrating; and (4) dissolving in water, carrying out gel chromatography separation, collecting, and freeze-drying to obtain the product. The grasshopper umami peptide contains umami active fragments, has umami characteristics, has an umami threshold value lower than that of sodium glutamate, can enhance umami of simulated broth to a certain extent, has potential umami presenting / umami increasing effects, can be used for umami increasing seasonings, and can also be compounded with other umami products for use.

The invention provides a locust suitable growing area monitoring method, device and equipment, a storage medium and a program product, and relates to the technical field of artificial intelligence, and the method comprises the steps: obtaining a locust suitable growing area monitoring index set and a locust host suitable growing area monitoring index set; the locust suitable region monitoring index set is determined based on environmental factors affecting growth and development of locusts, the locust host suitable region monitoring index set is determined based on environmental factors affecting distribution of locust hosts, and the environmental factors include climate factors, vegetation factors, land utilization type factors and terrain factors; and inputting the locust suitable growing area monitoring index set and the locust host suitable growing area monitoring index set into a suitable growing area monitoring model to obtain locust suitable growing area monitoring results of the target area in a future preset time period. Through the mode, monitoring errors caused by single monitoring indexes can be avoided, the accuracy of the monitoring result of the locust suitable growing area can be effectively improved, and accurate dynamic monitoring of the locust suitable growing area in the future is achieved.

The application discloses a bionic variable stiffness folding and unfolding structure based on locust wings, belonging to the field of space vehicles, which is composed of a base body and folding and unfolding arrays. The base body is used for simulating the main body part of a locust; two folding and unfolding arrays are used for simulating locust wings and are symmetrically arranged on the left and right sides of the base body. The two folding and unfolding arrays are composed of a plurality of skeletons, the front ends of the skeletons can slide along the slide rails on the left and right sides of the base body, the plurality of skeletons are expanded and contracted in a fan-shaped manner, and the certainty and order of the movement between the skeletons are ensured. The adjacent skeletons are connected through a scissor linkage unfolding device, and the synchronization of the movement between the skeletons is realized. The application can realize the design of a super large expansion and contraction ratio of a spacecraft structure, has a simple and reliable expansion and contraction form and strong and stable anti-interference performance, and ensures the safe and reliable operation of the spacecraft in orbit.

The invention relates to a locust habitat factor feature selection method, which comprises the following steps: constructing a grassland locust habitat factor feature set based on multi-source satellite remote sensing data and basic geographic data; formalizing the feature selection problem of the grassland locust habitat factor feature set; according to the formalized features, selecting and constructing a redundant network in each growth period; constructing a minimum spanning tree (MST) according to the redundant network in each growth period; dividing a minimum spanning tree (MST) into a plurality of connected sub-graphs based on edge cutting; and selecting features having the highest correlation with the target variable from each connected sub-graph, and integrating the maximum correlation features to construct a final feature subset. The invention further relates to a locust habitat factor feature selection system. According to the method, a more stable feature engineering support can be provided for efficient and accurate early warning of locust disasters.

The application discloses a steinernema feltiae biological control agent for preventing and treating various pests and application thereof. The various pests include spodoptera litura, poplar leaf-feeding caterpillar, pea aphid and short horned locust. The application studies the infection activity difference of different strains of steinernema feltiae on four different agricultural pests, and understands the prevention and treatment effect of different strains of steinernema feltiae on different insects. Meanwhile, the application also studies the sensitivity difference of biological control natural enemy insects braconidae and serangium japonicum to steinernema feltiae, studies the infection activity on pests and the infection activity on natural enemy insects, and comprehensively discusses the application prospect of steinernema feltiae, which not only lays a foundation for the joint biological control of natural enemy insects and insect pathogenic nematodes, but also helps to determine the best application scene in agricultural production, and then improves the efficiency and overall effect of biological control, and better prevention and treatment effect can be produced when facing a complex harmful organism prevention and treatment environment.

1. The name of the design product: the cage of the locust (recalling childhood). 2. The use of the design product: the design product is used for raising locusts. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.

The utility model belongs to the field of sprayers, and particularly relates to a portable sprayer for grassland locust control, which comprises a spraying device, a fixing belt is fixedly connected to the front part of the spraying device, a fixing block is fixedly connected to one end of the fixing belt, a long groove is formed in the fixing block, the size of the long groove is matched with that of the fixing belt, and the fixing belt is fixedly connected with the fixing block. A fixing mechanism is arranged in the long groove, the fixing mechanism comprises two sets of compression grooves, the two sets of compression grooves are formed in the top end and the bottom end of the interior of the long groove, clamping blocks are arranged in the compression grooves, and the sides, close to the compression grooves, of the clamping blocks are fixedly connected with one ends of two sets of moving rods; the end, provided with the clamping groove, of the fixing band is inserted into the clamping groove in the fixing block, the clamping block is squeezed into the compression groove in the process that the fixing block is inserted into the clamping groove, and when the length of the waist portion of the fixing band is matched, the proper clamping groove is selected to be aligned with the clamping block to complete fixing of the fixing band.

The invention discloses a grassland harmful insect suitable growth area monitoring method, device and system, and a storage medium. The method comprises the following steps: acquiring sample point data including longitude and latitude, ecological environment data and locust occurrence conditions; performing index screening on the sample point data to obtain key environment factors influencing the growth and development of harmful insects; according to the sample point data and the key environment factors, constructing and training a steppe harmful insect suitable growth area monitoring composite model based on an XGB-GWLR hybrid model; extracting corresponding raster data pixel values by using the field survey points; predicting the occurrence probability of harmful insects of each pixel by using the trained grassland harmful insect suitable growth area monitoring composite model; and generating a spatial distribution grid map according to a prediction result, and performing risk grade division according to a probability value. By adopting the technical scheme provided by the invention, accurate extraction of the potential generation area of the harmful insects in the grassland can be realized.

The invention provides a genetic modification method and application of a controllable toxin of a high-targeting metarhizium anisopliae insecticide which is toxic in vivo and in vitro for pests, and belongs to the technical field of genetic engineering. An endogenous promoter MAC05223 of a stable and high-expression gene in metarhizium anisopliae is screened and is used for driving efficient expression of a toxin gene MAC08119 to construct a genetic modification strain, so that an efficient biocontrol strain with remarkably enhanced toxicity, higher insecticidal efficiency and controllable toxicity expression is obtained, exogenous gene segments and exogenous toxins are not introduced, and the method is suitable for industrial production. According to the invention, high interspecific specificity and ecological safety of metarhizium anisopliae to locusts are maintained, metabolic burden and environmental non-target biotoxic side effects possibly brought by meaningless expression of toxins in a non-infection state are effectively avoided, host specific pathogenicity is improved, good targeting property, safety and energy utilization efficiency are achieved, and the method is suitable for industrial production. The method can be used for improving the existing locust biopesticide preparation, and has huge application potential in the field of green locust prevention and control.

The invention provides a method, a device, equipment and a medium for constructing a prediction model of a locust suitable growth area, and relates to the technical field of intelligent agriculture and animal husbandry. Wherein the maximum entropy model is constructed based on the monitoring index set; constructing a training sample based on a sample value set of the monitoring index set in the sample area and a label indicating whether the locust disaster exists in the sample area; and training the maximum entropy model based on the training sample to obtain a prediction model of the locust suitable growth area. According to the method, the maximum entropy model is constructed based on the monitoring index set, accurate simulation of the relationship between the spatial and temporal distribution of the locusts and the monitoring indexes is realized, and the prediction accuracy of a prediction model of a subsequent locust suitable region is improved. According to the prediction model of the locust suitable growth area, the locust disaster can be accurately predicted in a large space range, and the locust disaster monitoring efficiency and precision are improved.

The invention relates to the technical field of chemical engineering, in particular to a preparation method and application of a linalool nano emulsifier. Comprising the following steps: obtaining materials, and preparing a linalool essential oil nano-emulsion; the average particle size, the PDI value and the Zeta-potential of the prepared linalool essential oil nano-emulsion are measured; analyzing the storage stability and the freeze-thaw stability of the linalool essential oil nano-emulsion; the biological activity of 3-year old migratory locust nymphs is measured by adopting an aromatic essential oil nano-emulsion; by means of the mode, the stable prevention and control effect can be achieved without depending on improvement of the pesticide application concentration or increase of the pesticide application frequency.