277 results about "Crop pest" patented technology

The invention relates to a system for intelligently monitoring and controlling crop pests and diseases. The system is characterized by comprising a monitoring computer and a pesticide spraying device which is arranged in a crop growing place, wherein the monitoring computer drives the pesticide spraying device which is connected with the monitoring computer; a time controller and a pesticide spraying selective driving module are arranged in the monitoring computer; and the time controller controls and starts a corresponding spray head of the pesticide spraying device through the pesticide spraying selective driving module. The system has the following advantages that: 1, intelligentization is realized, the degree of automation is high, the control modes are diversified, the control is performed in time, and the using effect is good; 2, the solar energy is used as a power supply of monitoring equipment, so that the energy-saving effect is good; 3, the monitoring equipment not only can automatically control the water supply or the pesticide spraying of cultivated crops, but also has a multi-aspect management and control ability of controlling pests and diseases of the crops in different areas of the same place; and 4, the health condition of the crops is monitored in real time by using a monitoring probe, so that the crop pests and diseases are pre-warned in time and are controlled appropriately. Therefore, the system is not only favorable for ensuring the growth of the crops and the production bumper harvest of agriculture, forestry and tea industry, but also can greatly reduce medicament waste and pesticide pollution.

The invention relates to the technical field of plant protection, and discloses a method and device for early detecting crop pests based on multisensor information fusion. The method disclosed by the invention is used for detecting a crop pest condition through a model building stage, an information collecting stage, a characteristic quantity drawing stage and an information fusion and detection distinguishing stage. By using the method and the device, the shortage of purely depending on a single machine checking and monitoring method is overcome, relevant information of specific pests can beobtained from multiple aspects, multiple kinds of information can be fused for intelligent detection; and multiple kinds of information are subjected to demonstration check for mutual compensation byusing complementarity and redundancy of the information, and further the detecting and monitoring accuracy and efficiency of a field crop pest robot are improved.

The invention relates to a crop pest identification method based on an Android platform. The method comprises the steps of starting application software of a mobile phone with the Android platform, enabling the mobile phone to be connected with a wireless network, selecting the type of a crop, collecting a pest image, transmitting the pest image to an application program server, cutting the pest image with the application program server, and judging whether the expected threshold value is reached or not; if yes, conducting preprocessing, feature extraction and multi-feature fusion on the pest image in sequence; if not, cutting the pest image again; identifying features of the pest image, and transmitting the identified result and the corresponding pest control method to the mobile phone with the Android platform. The invention further discloses a crop pest identification system based on the Android platform. According to the crop pest identification method and system based on the Android platform, a user can intelligently diagnose crop pests anytime and anywhere, the limitation of simply relying on an agricultural specialist is avoided, the Android mobile phone platform is utilized, a traditional crop pest diagnosis mode is completely changed, farmland management efficiency is improved, and convenience is brought to the user.

The invention discloses a microorganism compound microbial inoculum, the strains of which comprise bacillus, soil actinomycetes, microzyme, mildew and photosynthetic bacteria. By using the microbial inoculum for straw fermentation, a result indicates that the microbial inoculum can make straws quickly decay and transfer to organic fertilizer required for the growth of plants, thereby the content of soil humus is increased, and the content of microorganism and trace elements in soil is improved. The physicochemical property of soil is improved, and the capability of water and fertility preserving of soil is increased. The soil permeability can also be improved so as to inhibit the happening of crop pests, and the output and quality of products can be improved. The microbial inoculum has the advantages of convenient use, low cost and obvious effect.

The invention relates to a microbe germ composition, a cyanophyte biological germ leaven which contains the microbe germ, a cyanophyte fermentation nutrient, a cyanophyte biological organic fertilizer and a method for preparation, wherein the microbe germ composition contains plant lactobacillus, bacillus subtilis and swamp Rhodopseudomonas, the cyanophyte biological germ leaven is prepared by microbe germ composition and base, the cyanophyte fermentation nutrient is prepared by cyanophyte biological germ leaven and cyanophyte, the cyanophyte biological organic fertilizer is prepared by cyanophyte fermentation nutrient, organics base and water-loss reducer. The microbe germ composition is provided with the ability for fermenting solid cyanophyte, which can transform nutriment in the cyanophyte into the material for crops. The cyanophyte fermentation nutrient can be superior animal feed. The cyanophyte biological organic fertilizer is provided with crop pest control effect, which adds the soil organics content and improves nutrient utility to accelerate the plant growth belonging to natural superior organics fertilizer.

The invention relates to a crop pest detection system positioned on an unmanned aerial vehicle. The crop pest detection system comprises a random access memory, a high-definition camera, an image processor and a main controller, wherein the high-definition camera is used for capturing a crop image; the image processor is connected with the high-definition camera and is used for processing the crop image to obtain a crop pest type in the crop image; the main controller is connected with the random access memory and the image processor respectively and is used for storing the crop pest type in the random access memory. By virtue of the crop pest detection system positioned on the unmanned aerial vehicle, the pest type of a field crop can be automatically obtained, and relevant agricultural management departments can conveniently call the system when the unmanned aerial vehicle returns, so that targeted pest prevention and control measures are taken.

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.

The invention discloses a pesticide composition containing Bacillus thuringiensis and chlorantraniliprole. The pesticide composition comprises common aids, Bacillus thuringiensis and chlorantraniliprole; wherein the weight part ratio of Bacillus thuringiensis to chlorantraniliprole is 20:1-1:20; and Bacillus thuringiensis and chlorantraniliprole account for 1 to 60 percent of the weight of the pesticide composition. The aid is one or more of the following agents: solvent, an emulsifier, a wetting agent, a stabilizer, a dispersant, a thickener, a PH regulator, an anti-foaming agent, an antifreezer, and a filler. The pesticide composition is used for controlling Lepidoptera pests on crops, and is quick in response and long in persistence compared with a single agent; and the pesticide dosage and the cost are reduced, and environmental protection and comprehensive control over crop pests are facilitated.

The invention discloses a green and novel crop pest repellent and relates to pesticide. According to the green and novel crop pest repellent, the following ingredients in parts by weight are prepared into medicine liquid: 1.6 to 2.4 parts of radix sophorae flavescentis, 1.6 to 2.4 parts of melia azedarach, 0.8 to 1.2 parts of coptis chinensis Franch, 1.2 to 1.8 parts of croton, 0.8 to 1.2 parts of stone-like omphalia, 0.8 to 1.2 parts of raw radix stemonae, 1.6 to 2.4 parts of hot pepper, 1.2 to 1.8 parts of wild pepper, 1.2 to 1.8 parts of black pepper, 1.6 to 2.4 parts of loquat leaf, 1.2 to 1.8 parts of folium eucalypti, 0.8 to 1.2 part of folium isatidis, 0.8 to 1.2 parts of hindu datura flower, 1.2 to 1.8 parts of calystegia hederacea and 160 to 240 parts of organic acid. The green and novel crop pest repellent solves the problems that artificially synthesized chemical pesticide is mostly adopted for preventing and treating crop pests in the prior art, the pesticide residue side effect is caused, and the like.

The invention discloses a crop pest monitoring method based on a multispectral remote sensing image of deep learning, and belongs to the technical field of satellite remote sensing image processing and application. The objective of the invention is to solve the problems of poor timeliness of crop pest monitoring, unstable single-index spectral information, difficulty in acquiring hyperspectral unmanned aerial vehicle data and the like in the existing method. According to the invention, combination of ten groups of characteristic band spectrums is adopted. An LSTM long short-term memory network is constructed. Crop insect pest disasters can be automatically and efficiently identified from the multispectral satellite remote sensing image, and certain technical support is provided for the fields of agricultural production disaster prediction and prevention, agricultural insurance claim settlement and the like. The method has the advantages that the crop insect pest disasters can be automatically and efficiently identified from the multispectral satellite remote sensing image;

The invention provides a novel strain BtMC28 of Bacillus thuringiensis, which has a preservation number of CGMCC No.2719. Tests of the virulence activity of the BtMC28 show that the BtMC28 has extremely high virulence on Lepidoptera, dipteral pests, and the like. The Bacillus thuringiensis BtMC28 can be made into a pesticide for controlling major farm crop pests. As a result, the novel strain BtMC28 of Bacillus thuringiensis diversifies and serializes the products of Bacillus thuringiensis pesticides, enlarges the application range of the Bacillus thuringiensis pesticides, reduces the pesticide dosage and environmental pollution, and has significant economic value and application prospect.

The invention relates to an agricultural shed plastic film, and particularly relates to a three-layer fragrant-flowered garlic. The shed plastic film provided by the invention is of a three-layer composite structure, wherein the outer layer is an anti-aging layer; the inner layer is a dripping fog disposal layer with the functions of dripping, and the middle layer is a light conversion layer formed by mixing resin, nano organic red additives and other functional additives. The agricultural shed plastic film provided by the invention has the advantages of good light quality regulating effect of the light conversion layer, small color attenuation velocity of the light conversion layer, great service life prolongation of the shed plastic film, obvious temperature preservation effect, crop pest disease and pest damage insulation and the like.

Systems and methods for predicting pest susceptibility, comprising steps to receive geocoded geospatial image data of a crop field from sensors, receive microclimate data of the crop field, determine a crop vigor map for the crop field, and then generate a pest susceptibility map utilizing a risk model based on the crop vigor map and the microclimate data. The pest susceptibility map comprises a measure of a susceptibility of a crop in the crop field to one or more crop pests at one or more locations. In some embodiments, the method also comprises steps to generate a treatment plan (e.g., pesticide application) and to estimate an anticipated return on investment (ROI). The system therefore leverages remote-sensed data, machine data, analytics, and machine learning to enable farmers to predict, prevent, and control the outbreak of crop pests to greatest economic effect. Such a system addresses a fundamental problem in agriculture.

The invention discloses a method based on F-. SSD The crop pest detection method of the IV3 comprises the following steps that (1) pest images are collected, and a crop pest database is constructed;(2) constructing F; SSD According to the IV3 target detection algorithm, Inception V3 is used for replacing VGG-; 16 is used as a feature extractor, a feature fusion method is designed for output feature maps of different scales to fuse context information, and finally a Sofer NMS is used for fine tuning of candidate boxes. And (3) during training, the network is optimized, and the detection performance and the generalization capability of the model are improved by using a method of data amplification and Dropout layer addition.

The invention discloses an improved hybrid attention module-based crop pest and disease damage fine-grained identification method. The method comprises the following steps of: firstly, inputting a crop disease and insect pest picture, performing feature extraction through a convolution layer after preprocessing, and taking a feature map F obtained by the convolution layer as input of attention I _CBAM by using an Inception thought in combination with a residual connection structure in a forward propagation process to obtain weights MC (F) and MS (F); and finally, obtaining a feature map F2, and generating a final prediction probability by using a softmax function. In order to improve the accuracy of a disease and pest identification model and detect diseases and pests in time, the hybridattention CBAM is improved; through a parallel connection structure of channel attention and space attention, the problem of interference generated by serial connection of channel attention and spaceattention is solved, and the direct generalization of I _ CBAM in different models is ensured while the improvement of the accuracy of a pest and disease damage fine-grained identification model afterattention adding is more stable.

The invention discloses application of beewax in a controlled release pesticide and a method for preparing the controlled release pesticide by taking the beewax as a matrix and belongs to the technical field of controlled release pesticides. The controlled release pesticide taking the beewax as the matrix is prepared by utilizing pesticide active molecules, an adsorbent, beewax or modified beewax,a surfactant, a controlled release regulator and a filler. According to pesticide granules prepared by the method, the pesticide active molecules in the pesticide granules can be released in a certain period of time according to crop needs, the uncontrollability of release time of the conventional controlled release pesticide is solved, and an excellent effect of controlling crop pests is achieved. Moreover, the preparation process is simple, the raw materials are cheap, and the preparation cost is low.

The invention discloses an application of Typhlodromips swirskill Athias-Henriot for controlling pest mites in farmlands and orchards. Being taken as the effective natural enemy of twenty crop pest mites, the Typhlodromips swirskill Athias-Henriot is applied to production practice for controlling pest mites on fruit trees, and controlling pest mites on cotton, corn and hops.

The invention relates to dinotefuran granules and a preparation method thereof. The dinotefuran granules have effective components of dinotefuran and the balance of pesticide adjuvant and carriers, wherein the mass percent of the dinotefuran in the dinotefuran granules is 0.01-10%. The invention also discloses the preparation method of the dinotefuran granules. The dinotefuran granules provided by the invention are suitable for controlling pests of crops such as rice, wheat, vegetables, fruit trees, etc.

The invention relates to a crop pest control scheme recommendation system based on deep learning, and belongs to the field of agricultural modernization. The system comprises an image acquisition system, an image processing system, a crop pest identification system, a crop pest control system, a crop pest control effect information feedback system and a user feedback information authenticity identification system. An incremental learning method is adopted. The neural network structure is continuously optimized by the crop pest control system according to the information of the crop pest control effect information feedback system, and the crop names, the local weather records and the color images of the leaves are combined to act as the key information for pest identification so that the result is more stable and reliable and more accurate.

The invention discloses an insect resistant gene mCry2Ab and application thereof. The invention provides application of the Cry2Ab protein, coding gene thereof or a gene expression cassette, a recombinant vector, a recombinant strain, a transgenic cell line or recombinant bacteria containing the coding gene to improvement of insect resistance of plants; and the amino acid sequence of the Cry2Ab protein is shown as the sequence 2 in the sequence table. The experiment of the invention proves that the insect resistant gene mCry2Ab is more suitable for efficient and stable expression in plant cells; the mCry2Ab is introduced into maize to obtain a stably inherited mCry2Ab transformant with corresponding anti-armyworm activity, thereby reducing the use of pesticides reducing the pollution of the environment; therefore, the invention has important economic value and broad application prospect. The mCry2Ab gene can also be transformed by bacteria or fungi to produce Bt protein through large-scale fermentation, and the mCry2Ab gene can be prepared into armyworm killing agent used for the prevention and control of crop pests.

The invention relates to suspension-type vinasse fermented liquid fertilizer and a preparation method thereof. The suspension-type vinasse fermented liquid comprises, by weight, 85-90 parts of mother liquor treated by vinasse fermentation liquor, 1-2 parts of suspension stabilizers, 3-5 parts of urea, 1-3 parts of diammonium phosphate and 2-6 parts of potassium sulphate. The preparation method includes the steps of vinasse pretreatment, anaerobic fermentation, solid-liquid separation, grinding, vibrating-screen separation, product compounding, product packaging and the like. The suspension-type vinasse fermented liquid fertilizer and the preparation method thereof have the advantages that the high-efficiency liquid fertilizer with high economic added value is produced, so that crop yield can be increased, fruit quality and soil fertility can be improved, and crop pests can be prevented and reduced.

The invention discloses a crop image pest and disease damage area extraction method based on SLIC superpixels and automatic threshold segmentation, which relates to the field of crop pest and diseasedamage detection based on image processing. The method comprises the following steps: carrying out image preprocessing on uploaded image information, and segmenting an image into a plurality of superpixel regions according to an SLIC superpixel segmentation algorithm, thereby extracting edge information of pest and disease damage leaves; on the basis of a picture segmented into super pixels, combining super pixel areas through a histogram intersection method, so that crop leaves are extracted from background interference; finally, carrying out pixel point traversal on the leaves, using the principle that the image texture difference between a normal area and a pest and disease damage area in a leaf image is large setting automatic threshold iteration to segment the pest and disease damagearea from a healthy area. The method has high extraction precision and efficiency.

The invention relates to a pesticide composition. The composition is characterized by comprising tolfenpyrad (A) and another benzoylphenylurea pesticide active constituent (B), wherein the (B) can belufenuron, hexaflumuron, ehlorfluazuron, flufenoxuron or chlorbenzuron. The invention also relates to an application of the pesticide composition in preventing and curing pests of crops.

The invention discloses a compound insecticide of bacillus thuringiensis, verticillium lecanii and aconite alkaloid and a preparation method thereof. The compound biotic insecticide is mainly mixed through the fermentation liquor of bacillus thuringiensis and the meristem of the verticillium lecanii or blastospore and the aconite alkaloid with proper auxiliary agent according to certain proportion, wherein the mass percentage of the main medicine and the auxiliary agent respectively accounts for 50 percent to 90 percent and 10 percent to 50 percent. The compound insecticide has the advantagesthat the compound insecticide is broad-spectrum, has control effect to various crop pests, and particularly has obvious effect to homoptera pets, lepidoptera pets and coleopteran pets; the desinsection speed is high; the lasting period is long; pets are difficult to develop drug resistance; the compound insecticide is safe to people and animals, environment and natural enemies; the manufacturing process is simple, the material sources are wide, and the cost is low; and the preparations are multiple, and the application field is wide.

The invention relates to a preparation method and application of q beauveria-spinosad suspending agent. Beauveryia bassiana and spinosad are the active ingredients of the suspending agent which is used for preventing and treating agriculture and forestry injurious insects, such as leptinotarsa decemlineata and acridid and the like. The invention is characterized in that (1) the suspending agent comprises active ingredients, namely the beauveryia bassiana and the spinosad; and (2) the mass ratio of the beauveryia bassiana and the spinosad is (30:1)-(30:2), and the mass percent of the effective components in the preparation is 3.1-10%. The preparation method has the advantages that the product can be dissolved with oil or water; the effective duration of the beauveria vuillemin and the relative quick action of spinosad have complementary advantages, and injurious insects of various crops are treated; and the suspending agent prepared by the method has the advantages of good synergism and permeability, strong adhesivity and evaporation resistance and the like.

The invention relates to a crop insect pest attractant and a preparation method thereof. The major materials such as fermented glutinous rice soup, table vinegar, sugar and insecticidal single powder are selected. The preparation method comprises the following steps of: weighing the fermented glutinous rice soup, the table vinegar, the sugar and the insecticidal single powder in proportion for spare use, adding the fermented glutinous rice soup, the table vinegar and the sugar after water is boiled, decocting, cooling, adding the insecticidal single powder, and stirring to obtain the crop insect pest attractant. The invention has the advantages that no pesticide is directly sprayed, pesticide residual amount of agricultural products is reduced, sustained action time is long, killing effect is good, cost is low, and operation is simple and convenient.

An automated system for monitoring and treating pests in a crop field, comprising at least one trap for monitoring and identifying pests, at least one UA V containing at least one chemical or biological products; a home base for parking or storing said at least one UA V when they are not operating; at least one database server; and equipment for communicating with said at least one trap, said at least one home base, said at least one UA V and said at least one database server.