Patents
Literature
Patsnap Copilot is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Patsnap Copilot

1382 results about "Crop disease" patented technology

Infectious, or biotic, diseases make up the bulk of variety of crop diseases. These are caused by living organisms that infect the crop. Fungi, such as smuts, rusts, molds and blights, are the most common cause for crop diseases. Most fungi require very moist conditions in which to thrive and reproduce.

Composite microbial fertilizer for controlling crop diseases and insect pests, and preparation method thereof

The invention relates to a composite microbial fertilizer for controlling crop diseases and insect pests, which contains composite microbial fungicide and is prepared by the following raw materials based on parts by weight: 10-35 parts of composite microbial fertilizer fungicide, 3-15 parts of composite microbial pesticide fungicide, 1-5 parts of insecticidal synergist, 1-5 parts of plant growth regulator, 20-60 parts of grass carbon, 5-15 parts of expanded chicken manure, 5-50 parts of inorganic fertilizer and 1-3 parts of binding agent, wherein the composite microbial fertilizer fungicide is prepared by bacillus megaterium and jelly-like bacillus; and the composite microbial pesticide fungicide is prepared by mixing bacillus thuringiensis and bacillus subtilis, adding sodium percarbonate type solid state oxygen-increasing agent for mixing and fermenting and finally absorbing by the grass carbon. The composite microbial fertilizer adopts strains with good suitability, and the strains are compounded according to a certain proportion to obtain the composite fungicide which has durable activity and stable performance; and the four beneficial strains are compatible with each other and performs the own functions, so that the multiple aims of resisting germs as well as diseases and insect pests, and increasing the crop yield can be achieved.
Owner:BEIJING SHUANGLONG AMMS TECH +1

Method and system for identifying crop diseases and pests based on Android mobile phone platform

The invention relates to a method for identifying crop diseases and pests based on an Android mobile phone platform. The method comprises the steps that disease and pest pictures are taken through a camera and stored in an SD card of an Android mobile phone; the disease and pest pictures are preprocessed; features of the preprocessed disease and pest pictures are extracted; feature training is carried out on a feature set, and sample set data are trained through an SVM method to obtain a disease and pest diagnosis model; SVM classification is carried out through the disease and pest diagnosis model, a classification and diagnosis result of the diseases and pests is obtained, and prevention and treatment methods are fed back to a mobile phone user. The invention further discloses a system for identifying crop diseases and pests based on the Android mobile phone platform. Through picture preprocessing and feature extraction carried out on the disease and pest pictures, the disease and pest pictures are classified through the SVM learning method to set up the disease and pest diagnosis model, the purpose of identifying the disease and pest pictures is achieved, and the user only needs to take pictures for the diseases and pests in an aligned mode through the mobile phone, and identification efficiency is high.
Owner:HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI

Rice leaf blast detection and classification method based on multi-spectral image processing

InactiveCN101539531APoint out the locationPoint out the degreeImage analysisClimate change adaptationDiseaseRapid processing
The invention discloses a rice leaf blast detection and classification method based on the multi-spectral image processing. A visible/near infrared multi-spectra camera is used for real-timely collecting monochromatic gray images of three waveband channels of green light wavebands, red light wavebands and near infrared wavebands, and then Matlab software is used for programming application software by an image processing method for image processing. The method comprises the removal of background, noises, interferences, and the like, and the recognition analysis of crop disease plague information, and the accurate and rapid processing of whether crops are ill and the position and the classification of disease plagues are realized. The disease recognition time of each picture is only a few seconds. The rice leaf blast detection and classification method based on the multi-spectral image processing is used for the rapid, accurate, stable, real-time and non-destructive crop leaf blast infection diagnosis and for accurately indicating the position of the disease plagues and the classification of infection grades, reducing the dosage due to the overall spraying, lowering the production cost, reducing pollution, providing data support for the variable spraying and improving the decision level of the accurate spraying. The method plays an active role in realizing the precision agriculture.
Owner:ZHEJIANG UNIV

Crop disease identification method based on incremental learning

InactiveCN106446942ATo achieve the purpose of comprehensive prevention and controlAccurate identification and diagnosisCharacter and pattern recognitionDiseaseNerve network
The invention provides a crop disease identification method based on incremental learning. When new data arrive, continuous learning is carried out based on an original learning result, and the capability of progressive learning is achieved, which means that new knowledge can be obtained from new samples obtained by batch and the performance is gradually improved under a condition that original knowledge is effectively kept. Firstly, a crop disease sample database is collected, and simulation incremental learning of disease images in the sample database is carried out using a negative correlation integrated neural network as main technical means, so that an initial parameter of a negative correlation learning system is determined, an integrated neural network classifier based on negative correlation learning is initialized based on the initial parameter, and the classifier is trained using a sample in an initial stage; in an incremental learning stage, when an expert adds a new sample in the sample database, the integrated neural network classifier based on negative correlation learning only is updated by only training the newly-added sample data, so that the object of incremental learning is achieved; and finally, a diagnosis result of a disease picture and control measures are fed back to a user, so that the pest and disease can be accurately identified and diagnosed, and the object of comprehensive crop control is achieved.
Owner:LANZHOU JIAOTONG UNIV

Liquid biological organic fertilizer with high content of organic substances and preparation method

The invention provides a liquid biological organic fertilizer with high content of organic substances and a preparation method. The fertilizer is characterized by comprising the following components by weight: 60% of a humic acid release inhibitor, 0.4% of a composite biological agent, 10% of fulvic acid potassium, 12% of soluble nitrogen-phosphorus-potassium raw materials, 9% of a chelating medium trace element agent, 8.47% of a soil conditioner, 0.93% of compound sodium nitrophenolate and 0.1% of naphthalene acetic acid; and the fertilizer is prepared by mixing, heating, chelating, concentrating, cooling, microorganism adding, filtering and residue removing. The invention has the following beneficial effects: plant nutrition is directly supplemented; the contents of absorbable organic substances for a root system in soil are rapidly supplemented; growth of the root system is rapidly promoted; absorption area of the root system is enlarged; the chelating medium trace element agent can not be fixed by the soil and exists in a free state in the soil, so the chelating medium trace element agent is easy to be captured and absorbed by the root system in the soil; physiological diseases and pests are prevented from occurrence; quality of an agricultural product is improved; root-rot disease and stem-rot disease are prevented from occurrence; occurrences of fusarium and verticillium wilts and bacterial wilt are reduced; meanwhile, the fertilizer is capable of resisting salinity and alkalinity, resisting continuous cropping diseases, and killing soil-borne diseases.
Owner:山西年马农业科技股份有限公司

Rabbit dung-Chinese herbal medicine organic fertilizer and preparation method thereof

InactiveCN102951970AImprove pollution-free productionSustainable pollution-free productionBio-organic fraction processingOrganic fertiliser preparationInsect pestOrganic fertilizer
The invention discloses a rabbit dung-Chinese herbal medicine organic fertilizer which is prepared from the following raw materials in parts by weight: 60-80 parts of rabbit dung, 5-8 parts of Chinese herbal medicine, 10-20 parts of crop straw powder, 10-20 parts of plant ash, 10-20 parts of bagasse, 30-40 parts of sodium humate, 10-20 parts of nano-carbon and 10-15 parts of palygorskite. The rabbit dung-Chinese herbal medicine organic fertilizer is prepared by the steps of: with rabbit dung as a main organic component, fermenting, drying and crushing; and then mixing the treated rabbit dung with Chinese herbal medicine extracts, sodium humate, nano-carbon and palygorskite, pelleting and finally drying. After the rabbit dung-Chinese herbal medicine organic fertilizer disclosed by the invention is applied, the physical and chemical properties of soil can be improved, the nutrient absorption of crops can be promoted, crop plants can thrive, the yield of the crops can be improved, the product quality can be improved, the loss of the fertilizer in the soil can be reduced, the release of the nutrients in the fertilizer can be controlled, the utilization rate of the fertilizer can be improved, the purposes of high yield and high quality can be reached, and the occurrence of diseases and insect pests of the crops can be further reduced.
Owner:安徽省翠芳农业科技股份有限公司

Remote-sensing crop disease identification method based on time phase and spectrum information and habitat condition

InactiveCN105825177ATimely and accurate graspTimely and accurate understandingData processing applicationsCharacter and pattern recognitionDisease monitoringDisease area
The invention discloses a remote-sensing crop disease identification method based on time phase and spectrum information and a habitat condition. Multi-time-phase visible light-near infrared and thermal-infrared remote sensing images in a study area within a monitoring period are obtained and pretreatment is carried out on the images; with the remote sensing images after pretreatment, planting information of target crops is extracted by combining a certain kind of classification algorithm; and according to the visible light-near infrared and thermal-infrared remote sensing images, habitat information of disease monitoring is obtained, a disease area and a disease type of the target crops in the study area are determined by combining the time phase information of the target crops and the obtained habitat information, and severity of the disease is determined by using the spectrum information based on the determined disease area and disease type. According to the technical scheme, the remote sensing diagnosis precision of the crop disease can be improved effectively; and a reverse identification problem of remote sensing crop disease monitoring can be solved to a certain extent.
Owner:XIAN UNIV OF SCI & TECH

Preparation method and application of gum rosin acid copper

The invention discloses a preparation method and application of gum rosin acid copper. The method for preparing the gum rosin acid copper comprises the following steeps: evenly mixing copper salt with alkali liquor; mixing the obtained mixture into a uniform suspension; then slowly dropping the uniform suspension into a solution consisting of rosin and solvent, wherein in the dropping process, the color of the solution is gradually changed from blue to green, and the exothermic phenomenon is produced, then timely cooling is carried out in time, and the dropping process is completed within 20 to 40 minutes; after the dropping process is completed, raising the temperature of the obtained solution to 70 to 90 DEG C, and then carrying out atmospheric dehydration reaction on the obtained solution by using a water separator (100L); and after the dehydration reaction is completed, filtering the obtained object by using standard filter papers so as to obtain a gum rosin acid copper solution of which the concentration is 20 to 50 percent, then analyzing and detecting the content of the obtained product. The application of the gum rosin acid copper is as follows: the gum rosin acid copper prepared in the invention is used together with medicaments for preventing crop diseases and pests. The invention solves the problems that the existing method for preparing the gum rosin acid copper is complicated, hard to implement and not environmental-friendly, and the application scope of the current gum rosin acid copper is narrow.
Owner:烟台博瑞特生物科技有限公司

Intelligent prevention and control system based on internet of things for crop pests and diseases

The invention belongs to the technical field of intelligent control systems for crop pests and diseases, and particularly relates to an intelligent prevention and control system based on an internet of things for the crop pests and diseases. The system comprises a collection system, the collection system collects crop information, the information is transmitted to a control center through internetof things monitoring nodes and a gateway dielectric for forwarding, and the control center sends a control instruction corresponding to data to execution equipment and detection equipment through a transmission module. Compared with the prior art, the system has the advantages that the preliminary monitoring complexity is simplified, the accuracy of detecting the crop pests and diseases is improved at the same time, the crop pests and diseases can be timely found before the occurrence of the crop pests and diseases or in the early period of the occurrence of the crop pests and diseases, and corresponding measures are taken; the problems are effectively solved that according to existing monitoring systems, collected data cannot be effectively processed, and the network robustness is poor;the incidence of the crop diseases and pests can be greatly reduced, the yield of crops is increased, the quality of the crops is improved, the situation is reduced that a large quantity of pesticidesare needed due to serious pests and disease disasters, the large-scale popularization is facilitated, and the agricultural production level can be increased.
Owner:来安县威光绿园生态农业专业合作社

Crop disease and insect information diagnosis system and method

The invention discloses a crop disease and insect information diagnosis system and a crop disease and insect information diagnosis method. The crop disease and insect information diagnosis system comprises an acquisition end and a diagnosis service end, wherein the acquisition end is used for acquiring and transmitting the crop disease and insect information to the diagnosis service end and comprises a microprocessor module, an input module, an output module, a transmission module, an image video acquisition module and a global position system (GPS) module; the image video acquisition module is used for acquiring image information of the crop disease and insect; the GPS module is used for acquiring position information of the crop disease and insect; the crop disease and insect information comprises the image information and the position information; the diagnosis service end is used for receiving the crop disease and insect information acquired by the acquisition end to diagnose and transmit the diagnosis result to the acquisition end; and the diagnosis service end is connected with the acquisition end through a wireless communication network. The crop disease and insect information diagnosis system and the crop disease and insect information diagnosis method have the advantages of positioning, acquiring transmitting and diagnosing the crop disease and insect information in real time, reflecting the field condition and the space distribution characteristic of the crop disease and insect intuitively, accurately and efficiently and coping with the crop disease and insect conveniently and rapidly.
Owner:BEIJING RES CENT FOR INFORMATION TECH & AGRI

Crop disease occurrence range monitoring method and system

The invention discloses a crop disease occurrence range monitoring method and system, and relates to the technical field of agricultural monitoring. The method comprises the steps of obtaining crop disease data and meteorological data of a target region within the preset period of time, and building a relation model between a disease occurrence degree and a meteorological factor; obtaining a meteorological factor of the target region at the year to be predicted; obtaining the disease occurrence degree of the target region at the year to be predicted through the relation model; according to the disease occurrence degree, obtaining a remote-sensing image of the target region, conducting preprocessing on the remote-sensing image, extracting the area of crops in the target region, and determining a mapland monitored within the crop disease occurrence range; determining a remote-sensing index SI of crop disease monitoring, and according to the remote-sensing index SI, drawing a map within the mapland monitored within the crop disease occurrence range. According to the crop disease occurrence range monitoring method and system, starting from a disease occurrence mechanism, monitoring and map drawing can be carried out on the suspected disease occurrence region by means of the satellite remote-sensing image and disease spectral features, and the significant decision basis is provided for large-range disease prevention and control management.
Owner:BEIJING RES CENT FOR INFORMATION TECH & AGRI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products