23 results about "Pest infestation" patented technology

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 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.

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

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

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.

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.

This invention belongs to the field of smart lighting equipment technology, specifically an energy-saving smart lighting device for scenic areas. It addresses the problem that the dried bodies of dead mosquitoes can easily clog mesh, obstructing airflow and reducing mosquito-trapping efficiency. Furthermore, long-term accumulation of dead insects in humid environments can easily lead to mold, bacterial growth, and secondary pest infestations. The proposed solution includes: a lighting pole with a lamp wick and a diffuser, the lamp wick located inside the diffuser. This energy-saving smart lighting device for scenic areas improves the mosquito-trapping effect of lighting systems. During illumination-based trapping, the device can shake and remove dead, dried insects from the inner wall and mesh of the net bag, preventing clogging and ensuring airflow during trapping, thus guaranteeing the trapping effect. Simultaneously, cleaning up accumulated insect bodies prevents secondary pest infestations.

This application relates to the field of signal processing technology, specifically a multi-parameter monitor for pest infestation in grain storage and a method for predicting pest infestation in grain storage. The multi-parameter monitor includes a temperature and humidity measurement component distributed at different locations along the axial direction of the monitor's main body; used to measure the ambient temperature and humidity at different depths inside and outside the grain storage and / or inside the grain pile; a sound measurement component distributed at different locations along the axial direction of the monitor's main body; multiple sound sensors used to collect environmental audio signals from multiple locations inside and / or outside the grain storage, including insect activity sounds and background noise; a gas measurement component including an oxygen sensor and a carbon dioxide sensor, the oxygen sensor measuring the oxygen concentration in the environment, and the carbon dioxide sensor measuring the carbon dioxide concentration in the environment; and a main control panel connected to the temperature and humidity measurement component, the sound measurement component, and the gas measurement component via a data bus.

Methods of pest control are provided. Accordingly, there is provided a method of protecting a plant at risk of pest infestation or treating a pest infested plant comprising contacting the plant with a pesticidal composition obtained or derived from an isolated Bacillus velezensis strain BX77 or a homolog thereof.

The utility model relates to the technical field of base protection, and discloses a standing tree trunk base protection device for tending a mountain forest, which comprises a middle protection ring, the top of the middle protection ring is fixedly connected with a plurality of lower connecting plates, and the bottom of the middle protection ring is fixedly connected with a plurality of upper connecting plates. The bottom of the lower connecting plate is fixedly connected with a lower protection ring, the top of the upper connecting plate is fixedly connected with an upper protection ring, insect repelling mechanisms are arranged in the middle protection ring and outside the lower protection ring, an animal repelling mechanism is arranged outside the lower protection ring, and a fixing mechanism is arranged in the upper protection ring. The parasite expelling assembly comprises the kit. According to the utility model, the insect-expelling spraying structure and the threatening device structure are matched with each other, so that the insect attack on the base part of the tree can be prevented and reduced, rodents and large herbivores are forced to be far away from the trunk, and the healthy growth of the tree is promoted.

This invention relates to the field of image acquisition technology, specifically to a method for acquiring images of pests and diseases in vegetable pest control. This invention precisely extracts individual leaves from leaf images using the vein characteristics of vegetable leaves, obtaining both complete and occluded leaves. Then, based on the color characteristics of the leaf mesophyll and the continuity of the veins within a single leaf, the pest-infested area within that leaf is determined. Next, based on the number and area of ​​the pest-infested areas, the degree of pest infestation on both complete and occluded leaves is quantified. Finally, different image acquisition methods are used for different leaves depending on the degree of pest infestation. This method enables more precise location and acquisition of pest-infested areas, avoiding detection errors caused by leaf occlusion in traditional methods. Furthermore, through dynamic resource allocation, it provides more targeted data support for subsequent assessment of pest infestation levels and the development of control strategies.

The present invention relates to a synergistic pesticidal composition for controlling pest infection in plants, more particularly to a synergistic composition comprising at least three active ingredients selected from (I) a mitochondrial complex I electron transport inhibitor selected from Tolfenpyrad; (II) acetyl-CoA carboxylase inhibitor selected from Spidoxamat, Spirodiclofen, Spiromesifen, Spiropidion, and Spirotetramat; and (III)nicotinic acetylcholine receptor (nAChR) channel blocker is selected as Thiocyclam Hydrogen Oxalate. The invention further relates to a process of preparing said composition along with one or more inactive excipient and formulation thereof. The composition overcomes the pest infestations much more efficiently and provides the advantages of overcoming the resistance of the pest to the use of the individual components of the pesticide composition, improved shelf life, increased spectrum of activity, better crop quality, enhanced efficacy, and economic and ecological advantages i.e. more yield, less expensive and environmentally safe composition.

The invention relates to a device (100) for the moving processing of plants, comprising a detection unit (110) configured for the optical detection of vitality parameters and / or pest infestation on a plant, a processing unit (120) downstream of the detection unit in the direction of travel, and a control unit (130). At least signals from the detection unit (110) are supplied to the control unit (130). The control unit (130) is configured to output control signals (S) to the processing unit (120), by means of which the processing unit (120) can be controlled to adjust the processing of plants with vitality parameters deviating from target values ​​and / or plants infested by pests.

The present invention relates to pesticide mixtures comprising as active compound I a carboxamide derivative active as an insecticide and at least one active compound II selected from group M comprising acetylcholine esterase inhibitors, GABA-regulated chloride channel antagonists, sodium channel modulators, nicotinic acetylcholine receptor agonists / antagonists, allosteric nicotinic acetylcholine receptor activators, chloride channel activators, juvenile hormone mimics, homopteran feeding blockers, mite growth inhibitors, mitochondrial ATP synthase inhibitors, oxidative phosphorylation uncouplers, chitin biosynthesis inhibitors, molting disruptors, ecdyson receptor agonists, octamine receptor agonists, MET inhibitors, voltage-gated sodium channel blockers, lipid synthesis inhibitors,ryanodine receptor modulators and other compounds defined in the description, in synergistically effective amounts. The invention also relates to methods and the use of these mixtures to combat and control insects, arachnids, or nematodes in plants, and to protect these plants against pest infestation, in particular also to protect plant propagation material, such as seeds.

This invention discloses a method and system for predicting the small green leafhopper in tea gardens based on a population dynamics model. The system acquires data on tea garden zoning, tea tree phenology, historical pest infestations, overwintering pest populations, and daily meteorological data to construct a structured pest life model and calculate the basic pest population dynamics for each sub-region. Combining pest monitoring with meteorological terminals, control operations and typical meteorological processes are abstracted as events. These events are triggered during model operation to correct the population state, and an assimilation algorithm is used to correct the model's predictions and observed data, yielding the posterior population state. Based on the posterior state, forward simulations of different control schemes are performed to assess pest risk and establish control windows and recommended schemes. The system consists of modules for data management, population modeling, monitoring access, event scheduling, assimilation, and prediction evaluation, enabling small green leafhopper infestation prediction and control decision support.

An agricultural drone fertilization device, belonging to the agricultural field, addresses the problem of fertilizer clumps of varying sizes, leading to excessive localized fertilization due to the simultaneous release of clumped and non-clumped fertilizer. In areas of excessive fertilization, crops are prone to nutrient overload, manifesting as thick leaves, excessive stem elongation, soft tissues, and reduced resistance to lodging and pests / diseases, making them susceptible to disease and pest infestations. Conversely, in areas of insufficient fertilization, crops suffer from nutrient deficiency, resulting in slow growth, yellowing leaves, and stunted growth, severely impacting overall crop yield and quality. This agricultural drone fertilization device includes a drone body and a first support plate fixedly connected below the drone body. A rotating mechanism, during its vertical movement, separates clumped fertilizer, resulting in a more even fertilizer distribution compared to existing technologies, thereby promoting better crop growth.

The present invention relates to agrochemical combinations and compositions of insecticides and seaweed algae extracts. The combinations and compositions control pest infestation in crops, increase crop yield, and improve crop health and crop growth.