49 results about "Pest infestation" patented technology

The present disclosure is directed to controlling pest infestation by inhibiting one or more biological functions in an invertebrate pest. The disclosure discloses methods and compositions for use in controlling pest infestation by feeding one or more different recombinant double stranded RNA molecules to the pest in order to achieve a reduction in pest infestation through suppression of gene expression. The disclosure also discloses methods and compositions for targeted genome editing in the pest in order to achieve a reduction in pest infestation through disruption of protein activity. The disclosure is also directed to methods for making transgenic plants that express the double stranded RNA molecules and targeted genome editing constructs for use in protecting plants from pest infestation.

The disclosure relates to compositions and methods of use for plant protection against pests and pathogens comprising applying an effective amount of a jasmonate, or a composition comprising at least one jasmonate. In some instances, the protection is prophylactic, and inhibits, prevents and / or repels insects and other pests from contacting plants and / or feeding on plants, thereby deterring plant damage and transmission of plant pathogens. In some embodiments, the methods and compositions are a treatment for a pest infestation. In some embodiments, the methods and compositions prevent or treat a pathogen. In some embodiments, the jasmonate or composition comprising at least one jasmonate is applied in conjunction with a soil inoculate of beneficial root microorganisms.

Agrochemical compositions including an agriculturally suitable carrier; one or more encysted or sporulated protozoa (protist); and an agricultural payload including an agrochemical with or without a food source for protozoa such as a agriculturally nonbeneficial bacteria are provided. Also provided is a modified plant seed, and methods for improving plant growth, reducing plant loss to pests, and controlling or eliminating pest infestation of a crop plant, each including use of the described agrochemical compositions.

The invention relates to the field of unmanned aerial vehicle path adjustment, and discloses an unmanned aerial vehicle pest monitoring method based on intelligent path planning, which is used for solving the problem that the pest condition cannot be monitored in time when the pest distribution is dynamically changed, and comprises the following steps: averagely dividing a region needing pest monitoring into n regions which are recorded as monitoring sub-regions, detecting meteorological data of each monitoring sub-region, calculating to obtain a meteorological influence coefficient, obtaining illumination condition data of each monitoring sub-region, calculating to obtain an illumination influence coefficient, obtaining historical insect disaster data of each monitoring sub-region, evaluating to obtain a historical disaster coefficient, and comprehensively evaluating to obtain a disaster index. The monitoring sub-areas are divided in real time according to the disaster indexes, path planning is performed in real time according to the divided areas by using the algorithm A, and the unmanned aerial vehicle performs pest monitoring according to the real-time path planning, so that the effectiveness of unmanned aerial vehicle path planning is effectively improved, and the damage rate of crops is reduced.

The present invention relates to an agrochemical combination and compositions of insecticides and a sea-weed algal extract. The said combinations and compositions control pest infestation in crops, improve crop yield and crop health and growth.

The present disclosure is directed to controlling pest infestation by inhibiting one or more biological functions in an invertebrate pest. The disclosure discloses methods and compositions for use in controlling pest infestation by feeding one or more different recombinant double stranded RNA molecules to the pest in order to achieve a reduction in pest infestation through suppression of gene expression. The disclosure also discloses methods and compositions for targeted genome editing in the pest in order to achieve a reduction in pest infestation through disruption of protein activity. The disclosure is also directed to methods for making transgenic plants that express the double stranded RNA molecules and targeted genome editing constructs for use in protecting plants from pest infestation.

The present invention relates to a composition for controlling, containing and combating pest infestation and microbial contamination on surfaces, comprising an inorganic carrier material comprising silicon dioxide, titanium dioxide, silicates and / or phosphates, and a dye configured to absorb electromagnetic radiation of wavelengths between 400 and 800 nm, in particular between 500 and 700 nm.

The invention provides a flower quality grading quality inspection method and system based on AI and image processing, and belongs to the technical field of computer vision and pattern recognizing.The method comprises the steps that an original image of the surface of a flower is collected through high-resolution imaging equipment, and high-frequency sub-band data representing tiny physical characteristics are extracted through multistage discrete wavelet transform; meanwhile, a sliding window is adopted to traverse the image, the color information entropy of a local area is calculated, and a color entropy graph is constructed. And after vectoring and splicing the two types of features, inputting the two types of features into a deep belief network model based on a multilayer restricted Boltzmann machine, and extracting deep abnormal feature codes. And finally, performing linear discriminant analysis on the code by utilizing a classification projection vector based on inter-class and intra-class distance optimization to generate an insect attack infection index, and realizing automatic grading quality inspection of the flower quality according to the insect attack infection index. According to the method, precise recognition and quantitative grading of tiny insect pests and recessive lesions on the surfaces of the fresh flowers are realized.

This disclosure relates to a method for reducing infestation by insect pests in an agricultural product, which comprises receiving temperature data indicative different temperatures for multiple periods of time; calculating, for the multiple periods of time, during which the agricultural product is subjected to the different temperatures, a mortality of the insect pests as a result of the different temperatures; and based on the mortality, generating a control signal to subject the agricultural product to a temperature treatment to achieve a desired mortality.

The present invention relates to a novel bacterium Yersinia entomophaga MH96 as deposited at DSMZ on 4 May 2006 and designated accession no. DSM 1823 8. The present invention also relates to substances obtained or derived from Yersinia entomophaga MH96, which retain biopesticide activity. Methods for protecting a plant from pest infestation which include applying to the plant or its environment an effective amount of Yersinia entomophaga MH96 or a product delivered from the bacterium are also described.

The present disclosure is directed to controlling pest infestation by inhibiting one or more biological functions in an invertebrate pest. The disclosure discloses methods and compositions for use in controlling pest infestation by feeding one or more different recombinant double stranded RNA molecules to the pest in order to achieve a reduction in pest infestation through suppression of gene expression. The disclosure also discloses methods and compositions for targeted genome editing in the pest in order to achieve a reduction in pest infestation through disruption of protein activity. The disclosure is also directed to methods for making transgenic plants that express the double stranded RNA molecules and targeted genome editing constructs for use in protecting plants from pest infestation.

A stable aqueous suspension includes a composition which includes nanoparticles, wherein said nanoparticles include a nucleic acid at least partially encapsulated in a matrix comprising calcium phosphate. The nanoparticle compositions and suspensions have high nucleic acid loading and high stability, and may be used for protecting crops against insects and for down-regulating expression of a target gene in an insect pest species in order to prevent and / or control pest infestation.

The invention relates to the technical field of disease and pest monitoring and recognition, in particular to a jujube tree disease and pest monitoring and recognition method and system based on the remote sensing technology, and the method comprises the steps: collecting a jujube tree vegetation image, and obtaining a first feature map after the neural network downsampling; obtaining a multi-scale feature map of the first feature map, and recording the multi-scale feature map as each second feature map; a self-adaptive fine-grained attention module is added in the neural network and is used for carrying out weighted fusion on the second feature maps, specifically, superpixel segmentation is carried out on all the second feature maps, and the insect pest possibility of all superpixel blocks is obtained; disease spot areas in the second feature maps are obtained; determining the size of a local window divided by each second feature map, and adopting a multi-head self-attention mechanism to obtain the weight of each second feature map; and carrying out weighted fusion on all the second feature maps, and carrying out multi-stage feature extraction of a ResNet50 network structure to obtain a pest and disease monitoring result of the jujube tree. Therefore, the accuracy of monitoring and identifying jujube tree diseases and insect pests is improved.

The present invention relates to a method for combating animal pest infections and / or infestations on bees and in the beehive by applying an animal pest marking agent and thereby marking the animal pest in such a way that they are detected and successfully combated by the bees in a defensive response. Particularly, the method relates to combating mite infestations, like infestations with the Varroa mite, the mite Acarapis woodi, or other mites. The invention further relates to a method for the production of the animal pest marking agent and the use thereof for the prophylactic and therapeutic treatment of bees against animal pest infestations, like infestation with the Varroa mite.

This application provides and discloses anti-parasitic, anti-pest or insecticidal nucleic acid molecules and their calmodulin target genes for the control of arthropod parasites and pests. This application further provides methods and compositions for the control and treatment of parasites and pests in Apis mellifera (honey bee) hives.

Main claim: AI-based detection system for the automatic identification of stored product and hygiene pests characterized in that a) the detection system consists of one or more sensors that communicate wirelessly or via a wired connection with a central evaluation unit. b) the sensors are mechanically composed of a sensor housing and one or more measuring chamber(s). c) all electronic components for acquiring measured values ​​from the sensors, for data analysis, for storing results and for communication are arranged in the sensor housing and are provided with a power supply. d) in a preferred embodiment, all functions for measurement acquisition from the sensors, data analysis, result storage and data communication are implemented via an application-specific programmed microcontroller with supplementary hardware components. e) each measuring chamber is in direct contact with the ambient air. f) in each measuring chamber one or more sensors for measuring temperature, humidity and VOC profile are arranged and each sensor is connected by wire to the measurement acquisition in the sensor housing. g) A measuring chamber design for detecting stored-product pests (for example, but not limited to: grain weevils, drugstore beetles, flat grain beetles, rice weevils, etc.) preferably, but not exclusively, consists of a pipe section for piercing a bulk material, which is connected to the gas phase in the bulk material via one or more openings. In a particular embodiment, this sensor can also be permanently installed in the storage container of the bulk material. h) a special embodiment consisting of several superimposed measuring chambers according to claim g) which are placed in the bulk material and thus enable the measurement of a VOC and moisture profile in the bulk material. i) any mechanically suitable material may be used as material for the construction of the measuring chamber housing, which does not cause relevant temperature measurement errors by introducing the surrounding outside temperature and which does not cause relevant humidity measurement errors due to material-related hygroscopy. k) the moisture content in the bulk material is used as an additional indicator of pest infestation (“metabolic water”). I) at selected measurement locations, stored product and hygiene pests are identified via the VOC profile of their species-specific, metabolically related body odor and / or the odor of their excretions. m) the presence of stored product and hygiene pests (for example, but not limited to: rats, mice, cockroaches, etc.) is identified from the measured VOC profile at the measuring point using algorithms, by means of a training phase in which the detection algorithms were determined in advance using an AI. n) When measuring the VOC profile of a pest species, the use of complex VOC sensor arrays is avoided by using a VOC sensor with a parameterizable heater. Here, the temperature in the sensor housing is increased in stages, and a VOC measurement is carried out after each temperature stage is reached. o) Higher-resolution VOC profiles can be achieved, for example, by ensuring that the maximum temperature in the sensor housing is only reached after several consecutive measurements. In this process, measurements are taken within a smaller temperature range during each individual measurement. VOC profiles generated in this way consist of as many individual values ​​as there are predefined temperature levels, multiplied by the number of measurement sequences until the maximum temperature is reached. p) for the simultaneous detection of various stored product and hygiene pest species, several differently trained and configured VOC sensors are installed in one sensor housing. q) the sensor electronics also handle the transmission of results to non-volatile storage media and / or via wired and / or wireless data communication to a central evaluation unit. r) the central evaluation unit communicates with the sensor electronics and performs, for example but not exclusively, the archiving of raw data, the evaluation of current measured values, the analysis of time series and trends, the detection of limit values ​​and other communication functions such as SMS and / or email.

Alkali-resistant calcium phosphate / nucleic acid hybrid carriers for pest control and methods for producing particles are provided. A stable aqueous suspension includes a composition containing nanoparticles, wherein the nanoparticles include nucleic acids, which are at least partially encapsulated in a matrix containing calcium phosphate. The nanoparticle composition and suspension have high nucleic acid loading and high stability, and can be used to protect crops from pests and to downregulate the expression of target genes in pest species, thereby preventing and / or controlling pest infestations.

A system is provided.SOLUTION: The system includes a means for acquiring vermin appearance / disappearance information from each local government or organization, a means for acquiring weather change data from a weather information providing service, a means for acquiring mountain village management or development information from a local government, a means for storing the vermin appearance / disappearance information, the weather change data and the development information in a database, a means for cooperatively and mutually analyzing the various kinds of stored data, a means for predicting the appearance / disappearance risk of vermin, a means for generating a countermeasure proposal on the basis of a prediction result, and a means for notifying a related user of the generated countermeasure proposal.SELECTED DRAWING: Figure 1

Method for generating an application map (20) for treating a field with an agricultural equipment comprising the following steps: providing (S10) a field map (10) of a field to be treated; determining (S20) areas in the field map (10) with a weed and / or pest infestation by using an image classification algorithm; and generating (S30) an application map (20) specifying areas for treating the field with an agricultural equipment, wherein the application map (20) is based on the determined areas infested by weed and / or pest infestation; wherein the method further comprises the step of providing boundary data with respect to the field.

The present invention relates to a crop nutrition composition in the form of liquid suspension comprising a homogeneous mixture of one or more of water insoluble Magnesium salt, complex or derivative thereof in the range of 1-70% w / w of the total composition and one or more of water insoluble Zinc salt, complex or derivative thereof in the range of 1-50% w / w of the total composition and one or more of water insoluble Iron salt, complex or derivative thereof in the range of 1-50% w / w of the total composition with at least one agrochemically acceptable excipient; wherein elemental Iron is present in the range of 0.01% to 40% w / w of the total composition and wherein elemental Zinc is present in the range of 0.01% to 40% w / w of the total composition and wherein elemental Magnesium is present in the range of 0.01% to 50% w / w of the total composition and wherein the composition comprises of particles in the size range of 0.1 micron-20 microns. The liquid suspension composition is in the form of a suspension concentrate, oil dispersion or a suspo-emulsion. The present invention further relates to a method of treating plants and meeting their nutritional requirement by making essential nutrients like Magnesium, Zinc and Iron available to them and also unlocking other micronutrients and trace elements present in the soil which hitherto were not available because of various factors primarily being soil degradation on account of excessive use of synthetic fertilizers. The present invention also relates to strengthening the plants so as to withstand pest infestation. The present invention also relates to a method of biofortification of plant with essential micronutrients.

The application provides a UAV target recognition and positioning method and system based on multispectral fusion. First, multispectral image data is acquired, then multispectral image data of multiple time phases is parsed into pixel-level data, then an early disease and pest infestation area is identified, then a geometric distortion correction model is constructed, then the relative position of the early disease and pest infestation area is determined through multi-view spatial intersection calculation, and finally, real-time differential global navigation satellite system positioning data of the UAV and the relative position of the early disease and pest infestation area are fused to output absolute geographic coordinates of the early disease and pest infestation area. The technical scheme provided by the application not only realizes accurate conversion from a local coordinate system to a global geographic coordinate system, but also provides an exact spatial position basis for precision agricultural operations, and realizes accurate positioning of a disease and pest area.

AI-Based Pest Infestation Monitoring cameras

AI based computing device for pest infestation Detection

The invention concerns a system for controlling pest infestation of crops, comprising one or more light sources that are particularly arranged in a grid like pattern, wherein the one or more light source is configured to emit UV radiation in a direction substantially different to a radiation direction for crop growth. A fog generator is configured to produce fog in a first volume covered by the UV radiation emitted by the one or more light sources, where the produced fog comprises a specified density and a specified range of droplet size; said fog scattering UV radiation emitted by the one or more light sources towards the crops. The first volume is distanced from the one or more light sources.

A system and storage medium for alerting crop disease or pest infestation includes satellite-based and aerial remote imaging devices for capturing RGB images of the Earth and attach Earth location and date information to each RGB image. Machine learning processing circuitry includes a stem module to convert the RGB images into a high-dimensional feature map, and a multi-scale feature extractor including consecutive branches to learn representations at different resolutions and semantic levels. Each branch includes adaptive inverted blocks and multi-scale channel attention module. Each adaptive inverted block includes a spatial spectral attention block configured to process spectral and spatial features simultaneously. A cross-scale feature fusion 10 block integrates information across multiple spatial resolutions. A classification head classifies the RGB images to output crop class labels. Processing circuitry transmits images with disease or pest infestation labels to a subscription-based service provider, which sends alert messages to selected customers in respective growing regions.

The utility model discloses a vegetable cultivation insect prevention device for vegetable planting, and relates to the technical field of vegetable cultivation. The device comprises a supporting disc, wherein a lifting mechanism and a rotating mechanism are arranged on the supporting disc; the bottom of the supporting disc is fixedly connected with a plurality of pointed-end supporting legs, the lifting mechanism comprises a hollow reciprocating screw rod arranged above the supporting disc, the outer wall of the hollow reciprocating screw rod is fixedly connected with a plurality of L-shaped supporting rods, and the bottoms of the L-shaped supporting rods are fixedly connected with the supporting disc; the rotating mechanism comprises a motor protection shell fixedly connected to the bottom of the supporting disc. Through the arrangement of the lifting mechanism, the problems that in the using process of an existing vegetable cultivation insect prevention device, insects at different heights are difficult to capture, part of the insects are difficult to escape for protection, the insect prevention effect is greatly reduced, the insect prevention rate of the device is reduced, and then the hidden danger of the insects is caused are solved.

The present invention relates to a crop nutritional composition in the form of a liquid suspension, comprising a homogeneous mixture of one or more water-insoluble magnesium salts, complexes, or derivatives thereof, in an amount ranging from 1 to 70% w / w of the total composition, one or more water-insoluble zinc salts, complexes, or derivatives thereof, in an amount ranging from 1 to 50% w / w of the total composition, and one or more water-insoluble iron salts, complexes, or derivatives thereof, in an amount ranging from 1 to 50% w / w of the total composition, together with at least one pesticidally acceptable excipient, wherein the elemental iron is present in an amount ranging from 0.01% to 40% w / w of the total composition, the elemental zinc is present in an amount ranging from 0.01% to 40% w / w of the total composition, the elemental magnesium is present in an amount ranging from 0.01% to 50% w / w of the total composition, and the composition is comprised of particles in the size range of 0.1 microns to 20 microns. The liquid suspension composition may be in the form of a suspension concentrate, oil dispersion, or suspoemulsion. The present invention further relates to a method for treating plants to meet their nutritional requirements by making essential nutrients such as magnesium, zinc and iron available to the plants and by liberating other micronutrients and trace elements present in the soil that were previously unavailable due to various factors, primarily soil degradation caused by the excessive use of synthetic fertilizers. The present invention also relates to fortifying plants to withstand pest infestations. The present invention also relates to a method for biofortifying plants with essential micronutrients.

This invention discloses a method and system for comprehensive assessment and control of diseases and pests in passion fruit cultivation. The method includes: dividing a target area into n different sub-regions; acquiring plant image information, environmental characteristic information, climate characteristic information, regional meteorological information, and information on the number of captured pests in each sub-region; preprocessing the acquired information; identifying the acquired information to obtain identification results; classifying and merging the sub-regions using a clustering algorithm to obtain m merged sub-regions; calculating the degree of disease or pest infestation in each merged sub-region to obtain disease and pest infestation degree information; conducting a comprehensive assessment of diseases and pests in each merged sub-region to obtain assessment results; and formulating candidate control schemes based on the assessment results, identification results, and regional meteorological information, and selecting the optimal control scheme. This method effectively improves the accuracy and effectiveness of disease and pest control.

A system for controlling pests on plants located in an agricultural area comprises a population of drones (1) configured to autonomously fly to the plants and control means for controlling the drones (1). The control device and the drone (1) are equipped with communication devices for interchanging data with each other. The drone (1) is equipped with a sensor (125) for detecting pest infestation on plants and a laser device (127) suitable for pest control and is configured to enable targeted control of the detected pest infestation by means of the laser device (127).

This invention discloses a pest infestation early warning method and system based on Internet of Things (IoT) data, belonging to the field of smart agriculture technology. The method includes the following steps: acquiring discrete pest count data and associated environmental status data within a target time period; constructing a dynamic influence domain corresponding to the current time point; calculating the local pest infestation risk index for each virtual grid; identifying spatially continuous risk grid clusters that meet preset risk thresholds; and generating a structured control operation instruction package containing operation path coordinate sequences and action parameters. This invention solves the problems in existing technologies such as mismatch between early warning triggering and regional control logic, overly generalized control recommendations that are difficult to implement, and difficulty in tracking, evaluating, and providing feedback on control effects by constructing a dynamic influence domain linked to wind fields and terrain, performing gridded risk simulation and continuous risk area identification, and automatically generating structured and precise operation instructions based on regional characteristics.