23 results about "Insect infestation" patented technology

This invention proposes a comprehensive agricultural four-condition monitoring system based on big data and its early warning and prediction method. It belongs to the field of smart agriculture technology. The method includes: performing multi-source sensor spatiotemporal alignment processing on the agricultural four-condition monitoring area to generate a spatiotemporally synchronized multi-dimensional monitoring dataset of soil moisture, insect infestation, seedling condition, and climate; constructing an agricultural causal knowledge graph based on this dataset; dynamically and adaptively adjusting thresholds according to the agricultural causal knowledge graph and initiating multimodal data acquisition to obtain the original agricultural four-condition monitoring data and corresponding spatiotemporal coordinate data; performing joint noise reduction processing on the original agricultural four-condition monitoring data using physical models and data-driven methods to generate high-quality agricultural four-condition feature data; and using this early warning and prediction method of the comprehensive agricultural four-condition monitoring system based on big data, the accuracy of agricultural risk early warning can be greatly improved, allowing farmers to promptly grasp potential risks in agricultural production.

The present invention relates to a method of controlling or preventing infestation of a plant by lepidoptera or coleopteran insects, comprising applying a combination or composition to the plant, its locus or its propagation material in any desired sequence or simultaneously, the combination or composition comprises as component (A) a compound of formula (A-1) and as component (B) a compound of formula (B-1). Compositions suitable for use in the invention are also disclosed. (A-1) is greater than (B-1).

The invention relates to the technical field of food processing, and discloses a preparation method of health-preserving electuary containing rhizoma polygonati and cyperus esculentus components, which comprises the following steps: step 1, raw material pretreatment: selecting rhizoma polygonati tuberous roots and cyperus esculentus which are free from mildew and worm damage, respectively cleaning, removing impurities, slicing rhizoma polygonati, and crushing cyperus esculentus; step 2, processing and extracting polygonatum sibiricum, namely moistening the polygonatum sibiricum slices obtained in the step 1 with yellow rice wine, then putting the moistened polygonatum sibiricum slices into a steaming container, steaming at 100-110 DEG C for 1-3 hours, and taking out the steamed polygonatum sibiricum slices; through a unique processing and extraction process, the effects of tonifying qi, nourishing yin, invigorating the spleen and tonifying the kidney of the rhizoma polygonati and the effects of promoting qi, activating blood, invigorating the spleen and harmonizing the stomach of the cyperus are organically combined. The nourishing effect of the rhizoma polygonati and the nourishing effect of the cyperus esculentus supplement each other, nourishing is achieved without stagnation, nourishing is achieved without hurting, the comprehensive health-preserving effects of nourishing the spleen and the stomach, invigorating qi and blood and moistening internal organs are achieved together, and the health-preserving food is especially suitable for the sub-health state caused by improper diet and overstrain of modern people.

The present invention relates to a method to monitor tobacco material to detect insect infestation, the method comprising: —providing tobacco material in a closed space; —measuring the concentration of a semiochemical in the air present in the closed space; —comparing the measured concentration of the semiochemical with a threshold; and—lowering the temperature of the closed space if the concentration of the semiochemical is higher than the threshold.

The present invention relates to a method for controlling insect infestation in stone fruits, the method comprising applying a nicotinic acetylcholine receptor (nAChR) competitive modulator to a locus or plant part of a plant or plant propagation material. The invention further relates to a method for controlling leafhopper infestation in mango cultivation or orchards using said nicotinic acetylcholine receptor (nAChR) competitive modulators.

The utility model discloses an insect condition forecasting lamp for insect condition detection, and relates to the technical field of insect condition forecasting lamps. The device comprises a mounting plate, a supporting rod is fixedly connected to the top end of the mounting plate, connecting blocks are fixedly connected to the sides, close to each other, of the top and the bottom of the supporting rod, fixing rings are fixedly connected between the corresponding connecting blocks, and electric tubes distributed in a central symmetry mode are fixedly connected between the two fixing rings. A moving ring is slidably clamped between the outer sides of the electric tubes, and scraping caps are slidably clamped at the bottom end of the moving ring and located on the outer sides of the electric tubes one by one; a servo motor drives a threaded rod to rotate, meanwhile drives a moving block to move downwards along the outer side of the threaded rod and drives a sliding block to slide downwards along the interior of a through groove, so that a moving ring and a scraping cap are driven to move downwards, the outer surface of an electric tube is cleaned through the scraping cap, and therefore the working performance of the electric tube is restored; and the problems of tedious operation and low efficiency caused by manual regular cleaning of the electric tube are avoided.

The invention discloses an insect monitoring and early warning method based on a double-monitoring system, and belongs to the technical field of data processing, the double-monitoring system comprises a first monitoring module, a second monitoring module, a measuring module and an early warning module, the first monitoring module is used for detecting an environment image of a target area in real time, and the second monitoring module is used for detecting the environment image of the target area; the second monitoring module is used for regularly detecting a target monitoring point to obtain an area image, the measuring module is used for extracting insect data in the environment image and the area image and measuring an insect pest index of a target area according to the insect data, and the early warning module is used for generating insect pest control measures for the target area according to the insect pest index. The target area is an area where insect monitoring is to be executed, and the target monitoring point is a position where an insect trap used for capturing insects is deployed in the target area. According to the invention, the double monitoring systems are combined with real-time monitoring and timed monitoring, so that the target area can be fully covered, key information is prevented from being missed, and efficient and accurate monitoring and early warning of the target area are realized.

The present invention relates to a method of controlling or preventing infestation of a plant by lepidoptera or coleopteran insects, comprising applying a combination or composition to the plant, its locus or its propagation material in any desired sequence or simultaneously, the combination or composition comprises as component (A) a compound of formula (A-1) and as component (B) a compound of formula (B-1). Compositions suitable for use in the invention are also disclosed. (A-1) (B-1)

The present disclosure relates to an insecticidal combination. Particularly, the present disclosure relates to an insecticidal combination comprising a denatonium compound or a salt thereof and at least one bio-insecticide. The present disclosure also relates to an insecticidal composition comprising said insecticidal combination, and method of using thereof for controlling insect infestation in plants.

This application provides a method for cultivating tree chairs, belonging to the field of tree shaping technology. The method involves planting a selected tree species to cultivate a single-trunk foundation tree; creating a shaping mold that conforms to the tree's growth trend; binding tree branches along a pre-set path in the mold to form a preliminary chair frame; separately cultivating chair surface seedlings and weaving a mesh chair surface to combine with the frame; daily management and shaping of the tree chair; and harvesting during dormancy followed by enzyme removal, air drying, and bark removal to obtain the finished tree chair. This invention uses elm as a preferred tree species and guides the tree's natural growth using a specialized shaping mold to form a complete tree chair structure. This solves the technical problems of traditional tree chair cultivation, such as the lack of a natural chair surface, absence of tree characteristics, long cultivation cycle, low yield, and susceptibility to cracking and insect infestation. The cultivated tree chairs are both practical and artistic, structurally robust, and can be mass-produced in a standardized manner, significantly improving the yield and efficiency of tree chair cultivation.

This invention provides a method, system, and computer equipment for the detection and classification of hyperspectral anomalies in Chinese medicinal materials, relating to the field of Chinese medicinal material testing. The method includes: reading hyperspectral data; performing foreground detection on the hyperspectral data using a multi-scale spatial spectrum fusion method to obtain a foreground mask of the abnormal region; automatically sampling with three-dimensional patches to collect N three-dimensional patch arrays of the foreground mask region; setting up a three-dimensional convolutional neural network with a band self-attention mechanism, inputting the foreground mask and the three-dimensional patch arrays into the neural network to generate a high-level semantic feature vector; and finally outputting the classification result by passing the high-level semantic feature vector through a neighborhood spatial spectrum-based self-supervised aggregation attention module. This invention, employing the above-mentioned method, system, and computer equipment for the detection and classification of hyperspectral anomalies in Chinese medicinal materials, achieves a new, efficient, accurate, and automated method for detecting mold and insect infestation in Chinese medicinal materials, significantly improving detection quality and the system's practical value.

The invention mainly relates to the technical field of white spirit brewing quality detection, and provides a white spirit yeast worm damage condition identification method and system in order to improve the precision and efficiency of white spirit yeast worm damage condition detection, the core of the method is as follows: firstly, obtaining a yeast surface image and a plurality of cross section images, marking worm holes in the images, establishing a training data set, and obtaining a white spirit yeast worm damage condition; it is ensured that the moth damage condition in the yeast block can be comprehensively reflected in the image recognition process; a worm damage grade classification standard is established according to the three parameters of the worm damage rate, the number of worm holes and the distribution density of the worm holes; establishing a wormhole recognition model based on threshold recognition, image segmentation or target detection, training the wormhole recognition model based on the training data set, and obtaining a wormhole recognition result based on the trained wormhole recognition model; and finally, calculating insect hole parameters based on an insect hole identification result, judging a Daqu insect damage grade, and calculating insect hole area interval frequency distribution and insect hole area standard deviation at the same time, so as to obtain basic information for subsequent insect damage type analysis.

The present invention relates to a method of controlling or preventing infestation of a plant by lepidoptera or coleopteran insects, comprising applying a combination or composition to the plant, its locus or its propagation material in any desired sequence or simultaneously, the combination or composition comprises as component (A) a compound of formula (A-1) and as component (B) a compound of formula (B-1). Compositions suitable for use in the invention are also disclosed. (A-1) (B-1)

The present invention relates to a method of controlling or preventing infestation of a plant by lepidoptera or coleopteran insects, comprising applying a combination or composition to the plant, its locus or its propagation material in any desired sequence or simultaneously, the combination or composition comprises as component (A) a compound of formula (A-1) and as component (B) a compound of formula (B-1). Compositions suitable for use in the invention are also disclosed. (A-1) (B-1)

Provided herein are methods for using RNAi molecules targeting a proteasome beta 5 (PSMB5) gene for controlling Coleopteran insects, methods for producing RNAi molecules targeting PSMB5, and compositions comprising RNAi molecules targeting PSMB5.

Provided are a transgenic corn event 2A-7, and corn plants or parts, seeds, cells, or progenies thereof containing nucleic acid molecules for diagnosing the corn event. The event shows resistance to lepidopteran insect infestation. Further provided are a method for detecting the presence of nucleic acid molecules unique to the corn event in a sample, and a probe and a primer for detecting the presence of the corn event in the sample. Further provided is a method for producing corn plants and seeds containing the nucleic acid molecules for the corn event.

The present invention relates to a method of controlling or preventing infestation of a plant by lepidoptera or coleopteran insects, comprising applying a combination or composition to the plant, its locus or its propagation material in any desired sequence or simultaneously, the combination or composition comprises as component (A) a compound of formula (A-1) and as component (B) a compound of formula (B-1). Compositions suitable for use in the invention are also disclosed.

A device is used to detect insect infestations in a tree. This device consists of inserting a needle with a microphone housing into the tree. The microphone housing includes a microphone attached to the needle. The microphone monitors an audio window. Within this window, several overlapping audio sub-windows are detected. From these sub-windows, a Mel spectrogram is calculated, which includes a feature matrix. A neural network determines whether each of the overlapping audio sub-windows contains evidence of insect presence and, if so, whether this evidence indicates that the tree is infested.

This invention relates to the field of olive juice technology, specifically to a method for purifying and preserving freshly squeezed wild Yunnan olive juice. The method involves selecting wild Yunnan olives free from insect infestation and mold, and pre-treating them; crushing and pitting the wild Yunnan olives before juicing to obtain olive juice; filtering the olive juice; adding a compound clarifying enzyme to the olive juice; blending and homogenizing the olive juice; transferring the homogenized olive juice to a deaeration treatment; sterilizing and bottling the olive juice; and storing the bottled olive juice in a cold storage. This method avoids the loss of nutrients and browning during the fresh-squeezing of wild Yunnan olive juice, meeting the market demand for high-quality Yunnan olive beverages.

The invention relates to the technical field of bamboo raw material treatment, in particular to a bamboo raw material treatment process for bamboo board production. Cutting off the materials; slicing is conducted; rough planing; carrying out binding; primary carbonization is conducted, specifically, the bound bamboo chips are placed in a steam environment of at least 0.98 MPa to be carbonized for 2 hours, and sugar in the bamboo chips is removed; the carbonized bamboo chips are placed in the environment with the initial temperature T1, and the bamboo chips are dried in a stepped heating mode till the final water content of the bamboo chips is smaller than or equal to 5%; wherein Tn is equal to (n-1) T + T1; the dried bamboo chips are placed in the environment with the temperature ranging from 20 DEG C to 35 DEG C and the relative humidity ranging from 50% to 80% for 5 days to 7 days. The bamboo raw material treatment technology can effectively stabilize the stress in the bamboo chips and provide the bearing capacity of the bamboo boards, the internal sugar content of the bamboo chips treated through the technology can be reduced to the maximum extent, and the problems of mildewing and worm damage during use of the bamboo chips are solved.

This document relates to methods and materials for managing pests. For example, this document provides insecticidal agents that include (a) a nucleic acid analog (NAA; e.g., a single-stranded NAA) and (b) a polypeptide that can enhance the activity of the NAA. This document also provides methods for using the insecticidal agents provided herein to manage an insect population. In some cases, one or more insecticidal agents provided herein can be used to treat a plant having an insect infestation.

The present invention relates to a method of controlling or preventing infestation of a plant by lepidoptera or coleopteran insects, comprising applying a combination or composition to the plant, its locus or its propagation material in any desired sequence or simultaneously, the combination or composition comprises as component (A) a compound of formula (A-1) and as component (B) a compound of formula (B-1). Compositions suitable for use in the invention are also disclosed. (A-1) is greater than (B-1).

The invention discloses a wheat production whole-process decision-making method based on knowledge graph enhanced RAG and a large model, and belongs to the crossing field of artificial intelligence and intelligent agriculture. The method comprises the following steps: firstly, integrating multi-source agricultural professional knowledge, and constructing a wheat production knowledge graph containing information such as phenological period and farming operation; then, sensing data such as weather, soil moisture content and insect conditions are collected and fused, and the sensing data are processed into structured data according to a preset mode; then, geographic coordinates and phenological periods are used as key retrieval keys, the structured data are matched with the wheat production knowledge graph, and accurate context knowledge support is provided for a large model through retrieval matching, vector fusion and cue word construction; and finally, generating a decision conclusion containing a time window and farming operation by the large model, calculating confidence, and realizing automatic decision. According to the method, full-process automatic decision making of wheat from ploughing, planting, management to harvesting is realized, the accuracy, reliability and automation level of decision making are effectively improved, and intelligent agricultural management requirements are met.