9 results about "Pest infestation" patented technology

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.

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.

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 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.