38 results about "Invasive species" patented technology

The invention provides an invasive species identification method and device based on deep learning and DNA storage and electronic equipment, and relates to the technical field of invasive organism prevention and control, and the method comprises the steps: obtaining a to-be-identified invasive species image, and generating a first DNA sequence of a to-be-identified invasive species in the invasive species image through a deoxyribonucleic acid DNA encoder; obtaining a plurality of second DNA sequences to be hybridized from the invasive species database, and obtaining the hybridization yield of the first DNA sequence and each second DNA sequence by using a hybridization yield predictor; and determining the species category corresponding to the DNA sequence with the highest hybridization yield as the species category of the invasive species to be identified. According to the method provided by the invention, the strong feature extraction capability of deep learning is combined with the advantages of ultrahigh density and ultra-long stability of DNA as a data storage medium, so that end-to-end mapping and recognition from a species image to an exclusive DNA sequence thereof are realized.

The invention discloses a method and a device for dynamically patrolling a farmland by an unmanned aerial vehicle, and relates to the technical field of dynamic patrolling methods. A plurality of patrolling images are collected, and a plurality of pest and disease damage characteristics of rice are determined according to the plurality of patrolling images and the form of the rice; and the rice damage grade of the key inspection area is determined based on the feature position of each pest and disease damage feature, the corresponding feature form and the distribution position of the alien invasive species, so that the accuracy of the rice damage grade of the key inspection area is improved. Therefore, a plurality of abnormal rice areas are determined based on the identification of the dynamic distribution map, and the abnormal patrol event of the unmanned aerial vehicle is determined based on the area positions of the plurality of abnormal rice areas, the water flow areas associated with the abnormal rice areas and the current position of the unmanned aerial vehicle. And the dynamic patrol event of the unmanned aerial vehicle is determined according to the abnormal patrol event of the unmanned aerial vehicle and the weather conditions corresponding to the abnormal rice areas and the farmland, so that the accuracy of the dynamic patrol event of the unmanned aerial vehicle is improved.

The application discloses an automatic generation method of an invasive species prevention and control grade map, comprising the following steps: acquiring suitable habitat data of a target species in a target area and spatial data of at least two human interference factors; respectively performing spatial analysis on the suitable habitat data and the data of each human interference factor, dividing a risk grade, and obtaining a plurality of single-factor risk grade maps; weighting and superimposing the plurality of single-factor risk grade maps, calculating a comprehensive risk distribution according to a comprehensive evaluation rule, and generating a prevention and control grade map through reclassification; the method can be encapsulated as a geographic processing model to realize one-key automatic generation. Through systematic integration of natural suitable habitats and human interference factor systems, the application solves the problems of the existing prevention and control division methods, such as disconnection with actual conditions, difficulty in quickly responding to multi-scenario analysis, strong subjectivity and low repeatability, and realizes high-precision fitting of the division results with actual conditions, as well as an objective, stable and repeatable division process.

The application provides a digital PCR kit for detecting highland invasive species red-eared slider and bullfrog, a set of red-eared slider specific primer probes, which are composed of a primer pair for a specific segment of a red-eared slider mitochondrial CYTB gene and a red-eared slider specific TaqMan probe matched therewith; a set of bullfrog specific primer probes, which are composed of a primer pair for a specific segment of a bullfrog mitochondrial 12S rRNA gene and a bullfrog specific TaqMan probe matched therewith, and a set of internal standard (IPC) primer pairs and internal standard TaqMan probes for monitoring the nucleic acid extraction and amplification reaction process monitoring. The application is provided with the primer pair for the specific segment of the red-eared slider mitochondrial CYTB gene and the red-eared slider specific TaqMan probe, the primer pair for the specific segment of the bullfrog mitochondrial 12S rRNA gene and the bullfrog specific TaqMan probe, and a common internal standard to construct a triple detection reaction system, thereby avoiding the quantitative uncertainty caused by the single species detection in the prior art which needs to be carried out in multiple reactions or relies on a standard curve for relative quantification.

The invention provides a method and a system for predicting a potential suitable growth area of alien invasive species in the technical field of risk management of invasive species. The method comprises the following steps: S1, acquiring a large amount of environment variable data and species distribution sample data; s2, downscaling the environment variable data through a spatial regression model to construct a high-resolution environment data set, performing spatial refinement on the species distribution sample data through a Moran index to construct a sample data subset, and constructing a data set based on the high-resolution environment data set and the sample data subset; s3, creating a species distribution model based on a maximum entropy model, a random forest, a support vector machine, a generalized linear model, an XGBOOST or a deep learning model, and training the species distribution model through the data set; and S4, predicting the suitable growth area of the alien invasive species through the trained species distribution model. The method has the advantages that the prediction precision and generalization ability of the potential suitable growth area of the alien invasive species are greatly improved.

In one or more illustrative arrangements, a robotic modular system is presented that is configured to remove vegetation, which may be an invasive plant species and / or target plant. In one or more illustrative arrangements, the robotic modular system includes a cutting module, a spraying module, and an optical module. In one or more illustrative arrangements, the system identifies an invasive species and / or target plant, the system is then moved near the invasive species and / or target plant, and the cutting module is positioned to perform a cutting operation. In one or more illustrative arrangements, the cutting module then performs a cutting operation on the invasive species and / or target plants, and the spraying module sprays the remaining portion thereof.

The application provides a screening method for effectors of foreign invasive species Hyphantria cunea larvae saliva and female insect oviposition secretions. The application collects saliva of invasive species Hyphantria cunea larvae and concentrates female insect oviposition secretions, then performs mass spectrometry analysis, performs KEGG and GO cluster analysis on the obtained protein information, and screens possible key proteins. Further, CRISPR / Cas9 and RNAi means are used to explore the functions and roles of these effectors in key damage-causing processes such as Hyphantria cunea larvae feeding and female insect oviposition, effectively realizing the screening of effectors of the foreign invasive pest, and providing effective means for preventing the maintenance and outbreak of Hyphantria cunea population and the damage of the population to agricultural and forestry crops.

The invention belongs to the field of invasion species prevention and control, and relates to a solenopsis invicta living area prediction technology, in particular to a solenopsis invicta living area prediction method and system based on artificial intelligence, and the method specifically comprises the steps: marking a solenopsis invicta adjacent area as a prediction area, and determining a survival factor 1 through environment data; determining a survival factor 2 through the soil type, the vegetation coverage rate and the landform, and integrating the determined survival factor 1 and the determined survival factor 2 into a total survival factor; and determining a prediction area with the solenopsis invicta according to a flood diffusion factor obtained by combining the total survival factor with the flood flow and the start time and a marriage flight diffusion factor obtained based on the start time of marriage flight diffusion of the solenopsis invicta. According to the method, passive marking of the solenopsis invicta living area is changed into active prediction, the problems that existing marking of the solenopsis invicta living area is delayed, and the diffusion condition of the solenopsis invicta living area under the natural condition is difficult to predict and recognize are solved, and the capability of human beings for preventing and controlling the solenopsis invicta is improved.

The invention discloses an external invasion species identification method based on an unmanned aerial vehicle and hyperspectral multimodal data, relates to the technical field of remote sensing and computer vision, and is deployed on the unmanned aerial vehicle or edge equipment. Constructing a grass decision head and a verification decision head for parallel reasoning through a lightweight convolution trunk of transfer learning in combination with channel attention and improved h-swsh; and performing time window re-judgment on the gray region sample by matching the comprehensive acceptability with a dual-threshold decision, and when the judgment is still uncertain, performing uploading re-checking and backflow for incremental learning and threshold updating. And the end side adopts INT8 / FP8 quantization, operator fusion and asynchronous two-stage pipeline to reduce time delay and energy consumption. And outputting the species category, the confidence coefficient, the timestamp and the rechecking mark. The method is suitable for field rapid identification.

Within the framework of health policies for monitoring human and animal epidemiological diseases in environments where different mosquito species proliferate as endemic species or appear as non-native invasive species, the smart mosquito sex-sorting device, which uses the sexual dimorphism of pupa size of certain mosquito species, automatically separates mosquito pupae by sex using artificial intelligence (AI) by analysing images with algorithms to identify the sex, thus optimising the volume of males recovered. For this purpose, successive steps are performed, using a tank of pupae and larvae to be sexed, a batch dosing device, a pupae dispenser with a flow divider shaft (12), a pupae calibrating device containing an optical camera for acquiring a digital image, and a distributor arm for depositing the sorted insects into containers.

This invention provides a system and method for controlling invasive species in port facilities, as well as cargo handling equipment for port facilities, that more easily prevents the establishment and spread of invasive species attached to cargo in port facilities. [Solution] The pest control system 1 for controlling invasive species A attached to cargo C handled by cargo handling equipment 10 at port facilities P comprises camera devices 2a to 2c that acquire image data D1 to D3 of cargo C during cargo handling by cargo handling equipment 10, and a computing device 3. A section capable of storing cargo C is designated as a pest control section 6. The computing device 3 performs data processing to identify invasive species A in the image data D1 to D3 based on the image data D1 to D3 acquired by the camera devices 2a to 2c, and data processing to interrupt the handling of the target cargo CA and have the cargo handling equipment 10 store the target cargo CA in the pest control section 6. In the pest control section 6, invasive species A attached to the stored target cargo CA is controlled.

A system is provided.SOLUTION: A system comprising: means for detecting dangerous animals, harmful insects, and foreign organisms; means for generating a countermeasure using a generation AI based on a type and an invasion place of the detected organisms; and means for notifying a user of the generated countermeasure and notifying a public institution of the countermeasure as necessary.SELECTED DRAWING: Figure 1

The present application relates to the field of ecological restoration, and more particularly to a method for restoring the ecology of a coastal wetland, which comprises the following steps: removing invasive species from the area to be restored; laying an ecological restoration substrate; planting the sea grass in a cluster-strip composite pattern; introducing biological communities in batches every two months; setting up a tidal response system and an intelligent monitoring platform to monitor the condition of the area to be restored; and the ecological restoration substrate comprises 40% oyster shells, 40% coral sand and 20% bentonite. The method for restoring the ecology of a coastal wetland provided by the present application forms an "algae-grass barrier" by planting sea grass and eucheuma alternately, effectively improves the water transparency and promotes photosynthesis; the disturbance behavior of benthic animals such as sea cucumbers enhances the oxygen penetration depth and oxidation-reduction potential (Eh) of the sediments, and improves the bottom environment; and the gradient buoyancy planting device realizes tidal self-adaptation, ensuring the stable growth of the sea grass under different water level conditions.

Wakeboats that include an aquatic invasive species control apparatus are provided. These wakeboats can include: a wakeboat with a hull; at least one throughhull fitting in the hull of the wakeboat; an irradiation chamber in fluid communication with the at least one throughhull fitting, the irradiation chamber having a radiation source; and at least one water destination aboard the wakeboat. Methods for irradiating invasive aquatic species aboard a wakeboat are also provided. The methods can include: receiving water from outside the wakeboat hull; and irradiating water aboard the wakeboat prior to discharging the water.

The invention relates to the technical field of prevention and control of alien invasive species ampullaria gigas, in particular to an ampullaria gigas trapping and collecting device which comprises a collecting barrel used for being placed in water, and the top of the collecting barrel is movably connected with a barrel cover; a vertical telescopic rod is fixedly connected into the collecting barrel and comprises a lower rod and an upper rod, the lower rod is provided with a vertical rod cavity, and the upper rod is vertically connected into the rod cavity in a sliding mode; the telescopic rod penetrates through the can cover, and the can cover is provided with a notch for the telescopic rod to penetrate through. By means of the scheme, fixed-point, efficient and clean trapping and collecting of the ampullaria gigas are achieved.

The invention relates to the field of ecological restoration, in particular to a coastal wetland ecology restoration method. The invention provides a coastal wetland ecology restoration method. The coastal wetland ecology restoration method comprises the following steps that invasive species of a to-be-restored land are removed; laying an ecological restoration matrix; the sea grass is planted in a cluster-strip composite mode, and field planting is conducted; introducing biocenosis in batches every two months; a tide response system and an intelligent monitoring platform are set up to monitor the condition of the to-be-repaired land; the ecological restoration matrix comprises 40% of oyster shells, 40% of coral sand and 20% of bentonite. According to the remediation method provided by the invention, the seaweed bed and the eucheuma are planted at intervals to form an algae-grass barrier, so that the transparency of a water body is effectively improved, and photosynthesis is promoted; the disturbance behavior of benthonic animals such as sea cucumbers enhances the oxygen penetration depth and oxidation-reduction potential (Eh) of sediments and improves the substrate environment; tidal self-adaption is achieved through the gradient buoyancy planting device, and it is guaranteed that sea grass stably grows under different water level conditions.

The application discloses a kind of prairie ecological restoration grass comprehensive evaluation method, it is related to ecological restoration assessment technical field, the present application includes the following steps: obtaining the flora characteristics and distribution characteristics of grassland plant, selecting ecological restoration grass;Set the basic conditions of ecological restoration grass: first, no public nuisance, no pollution, no security risk species, then avoid selecting invasive species, finally, strong self-reproduction ability and strong soil and water conservation ability species;Set the optimization condition and specific index of ecological restoration grass, the optimization condition includes: environmental adaptability, soil and water conservation capacity, reproductive capacity;Specific index includes: cold resistance, drought resistance, salt tolerance, wide distribution, green period, green period, root biomass, aboveground biomass, crown width, growth rate, branch growth type, tillering / branching number, seed thousand-grain weight, seed germination force;Build comprehensive evaluation model;Calculate the total score of target layer, and comprehensively evaluate ecological restoration grass.

The invention discloses a visualized rapid detection method for solenopsis invicta, and relates to the technical field of biological detection, and the technical key points are as follows: a rapid molecular detection method for invading species solenopsis invicta is developed on the basis of a loop-mediated isothermal amplification technology, mitochondrial DNA (mitochondrial DNA, mtDNA) cytochrome b (Cytochrome b, Cytb) genes of the solenopsis invicta are taken as targets, and the primers are used for detecting the mitochondrial DNA of the solenopsis invicta and the cytochrome b of the solenopsis invicta; the method comprises the following steps: designing and screening specific LAMP primers (F3 / B3, FIP / BIP); the method can accurately distinguish the solenopsis invicta from nine related species of solenopsis invicta, breaks through the dependence of traditional molecular detection on professional equipment and complex operation, and provides a high-sensitivity and high-specificity field detection tool for solenopsis invicta invasion monitoring and port quarantine.

The application discloses a kind of real fly luring and killing agents.The real fly luring and killing agent is composed of the following components by mass percentage: 75-85% of apple snail meat hydrolysate, 3-7% of pest toxic components, 5-15% of auxiliary materials and 2-5% of stabilizers.The apple snail meat hydrolysate is a mixture of apple snail meat after protease hydrolysis and enzyme inactivation, and the pest toxic components are Metarhizium or Beauveria.The luring and killing agent uses the protein hydrolysate of invasive species apple snail meat as the main raw material to prepare food lure, and then adds a small amount of Metarhizium / Beauveria to prepare the luring and killing agent.The synergistic effect of food lure and Metarhizium / Beauveria significantly improves the luring and killing effect on real flies.The new real fly luring and killing agent has the characteristics of high efficiency and green environmental protection.

To provide a device for efficiently exterminating terrestrial firefly larvae, an invasive species, while minimizing the impact on non-target organisms. [Solution] This device comprises an attractant section, which attaches the mucus of terrestrial snails to absorbent and adsorbent kite string to form a simulated mucus trail (3), and a cylindrical guide and pesticide treatment section, through which the kite string passes and whose interior is coated with mucus and insecticide, simulating the shell of a terrestrial snail. Terrestrial firefly larvae (4) are attracted by the mucus and enter the cylindrical guide section (1), where they are selectively killed by contact with the insecticide (2) coated on its inner wall. Furthermore, by connecting multiple guide sections or forming them into a ring and placing a shellfish bait in the center, the formation of a mucus trail is promoted as the snails are attracted to the device, thereby increasing the efficiency of luring the larvae. Additionally, by adjusting the diameter and length of the tube and the density of the devices, it is possible to selectively exterminate larvae of specific body sizes and mobility. For pesticide treatment, an aerosol formulation for indoor pest control is sprayed onto the inner wall of the tube.

The invention provides an alien invasive species early warning method based on big data analysis, and relates to the technical field of biological invasion prevention and control, and the method comprises the steps: carrying out the multi-dimensional data collection, so as to obtain environment parameter data, ship shipping data and biological sample data; performing data integration processing based on the multi-dimensional data, and performing time alignment and format unification on the environmental parameter data, the ship shipping data and the biological sample data to form a standardized data set; and on the basis of the standardized data set, alien invasive species identification is carried out, that is, through comparison with a preset global alien invasive species database, a matched species identification result is obtained. According to the invention, early discovery, early evaluation, early warning and early disposal of alien invasive species can be realized.

The invention discloses an alkaloid compound and application of the alkaloid compound to prevention and treatment of alien invasive species. Specifically, the invention relates to a compound as shown in a formula (I), or a stereoisomer, a tautomer, a nitrogen oxide, a hydrate, a solvate, a metabolite, a pharmaceutically acceptable salt or a prodrug of the compound as shown in the formula (I), and also relates to a pharmaceutical composition containing the compound. The invention also discloses application of the compound and the pharmaceutical composition thereof as medicines, especially in the aspect of preventing and treating alien invasive species.

The invention belongs to the technical field of biological detection and animal and plant quarantine, and particularly relates to a differential primer and probe-based RPA / RAA-LFS and TaqMan qPCR double-path rapid identification system, a primer and a kit. According to the invention, a mitochondrial ND2 gene segment is taken as a detection target, and a specific primer pair and a specific site are adopted to introduce a locked nucleic acid modified structure probe, so that a quantitative path of RPA field detection is realized; meanwhile, a laboratory quantitative detection path based on real-time fluorescent quantitative PCR (qPCR) is established. The primer and the probe obtained through screening can effectively distinguish sibling or non-target species such as the gossypodium beetle and the red material gossypodium beetle, the polypodium spp. And the pectoralis fuscopoda. The system realizes unification of RPA-LFS field signal quantification and laboratory double-path detection, provides an efficient and accurate molecular detection technology for port quarantine, forestry pest monitoring and invasive species emergency prevention and control, and has significant popularization and application values.

Disclosed herein are aspects of a method for inducing tetraploid production in fish eggs, to produce a population of tetraploid fish. The method may comprise selecting fish eggs at a desired first cleavage interval and exposing the eggs to a pressure shock to induce tetraploidy. Also disclosed herein are methods of using tetraploid fish to produce a sterile population of fish, for example for aquaculture or to reduce a population of an invasive species in a water system.

The present application belongs to the field of biological detection, and particularly relates to a multiplex PCR primer combination for detecting red-eared turtles based on environmental DNA and application thereof. The present application provides a multiplex PCR primer combination for detecting red-eared turtles in the environment. The present application introduces multiple pairs of primers to simultaneously amplify multiple sites, greatly improving the stability and reliability of detection. Moreover, the present application takes the first mismatch at the 3' end of the primer as the core of specificity discrimination, and sets the difference site of the red-eared turtle relative to non-target turtle and turtle species at the last 1 base position at the 3' end of the primer, so that the primer forms a 3' end terminal mismatch on the non-target template, thereby effectively improving the detection specificity. The present application has low detection cost, simple operation, high detection sensitivity and strong specificity, and can be widely applied to field distribution investigation of red-eared turtles, early warning of invasion and diffusion, and dynamic monitoring of aquatic ecosystems, thereby providing an important technical means for preventing and controlling alien invasive species and maintaining biodiversity.

The application provides a method for promoting eucalyptus seedling rooting by using gueldenstaedtia lanceolata water extract, the method proposes that the gueldenstaedtia lanceolata water extract with a concentration of 5g / L is used to promote eucalyptus seedling root growth, and the method can improve the root surface area and average diameter of eucalyptus seedlings and improve the total root length. The gueldenstaedtia lanceolata water extract is prepared by taking fresh gueldenstaedtia lanceolata branches and leaves, drying at 70 DEG C until constant weight, crushing through a 2mm sieve, and then using pure water to constant volume; the constant volume flask is placed in a shaker for 24h, so that it is fully mixed and dissolved, and then filtered, so that the gueldenstaedtia lanceolata water extract with a concentration of 5g / L is obtained. The gueldenstaedtia lanceolata raw material is abundant, only water is added, the preparation method is simple, safe and reliable, and the environment is not polluted. Therefore, the method not only has great application practical significance, but also realizes the resource utilization of the alien invasive species gueldenstaedtia lanceolata, and opens up a new direction for controlling the spread of gueldenstaedtia lanceolata.

The invention belongs to the technical field of biological control, and particularly relates to an invasive species multi-modal intelligent identification system and intelligent identification method.The intelligent identification system comprises a multi-modal big data storage unit used for receiving and storing multi-modal data of species to be identified; the distributed rapid identification unit is used for calling the multi-modal data from the multi-modal big data storage unit, selecting an invasive species identification model to carry out identification processing on the multi-modal data, and finally feeding back an identification result to a user; the model training iteration unit is used for carrying out training iteration on the invasive species identification model according to the multi-modal data; and the authentication client is used for transmitting the multi-modal data to the multi-modal big data storage unit, sending an authentication instruction and receiving an authentication result. According to the invasive species multi-mode intelligent identification system and method, the identification accuracy is remarkably improved compared with a model based on a single image mode and a single molecular mode, and the core technical problem that related species are difficult to distinguish is effectively solved.

This invention relates to the field of ecological management technology, specifically to an invasive species eradication device and method. The specific technical solution is as follows: A method for eradicating invasive species employs a cutting mechanism in the eradication device to cut off the invasive species and feed it into a crushing mechanism for crushing. After crushing, the species is discharged onto the ground and sprayed with a reagent. Then, a rotary tillage mechanism is used to dig out the roots of the invasive species and mix them with the crushed invasive species and the reagent. The order of spraying the reagent and digging out the roots of the invasive species can be interchanged. This invention combines physical and chemical control methods to achieve the eradication of invasive species without damaging the local ecosystem.

The application relates to the technical field of prevention and control of the alien invasive species apple snail, and particularly relates to a kind of apple snail trapping and collecting device, which comprises a collecting barrel for being put into water, and a barrel cover movably connected to the top of the collecting barrel; a vertical telescopic rod is fixedly connected to the inside of the collecting barrel, the telescopic rod comprises a lower rod and an upper rod, the lower rod is provided with a vertical rod cavity, and the upper rod is vertically slidably connected in the rod cavity; the telescopic rod passes through the barrel cover, and the barrel cover is provided with a gap for the telescopic rod to pass through. Through the scheme, the apple snails are efficiently and cleanly trapped and collected at a fixed point.