146 results about "Field crop" patented technology

The invention relates to the technical field of disease and insect pest image analysis, in particular to an AI image recognition and grading method for field crop leaf disease and insect pests, which comprises the following steps: under the irradiation of a field fixed light source, synchronously acquiring a plurality of polarized reflection images around crop leaves at preset angle intervals; extracting a pixel polarization degree matrix of a leaf area in each polarization reflection image; inputting the pixel polarization degree matrix into a polarization transmission model, outputting a cuticle anomaly coefficient graph, and marking an area exceeding a preset anomaly threshold in the cuticle anomaly coefficient graph as a highlight display area; matching an infection type template library according to a highlight display area distribution mode in the abnormal coefficient graph; and calculating an infection intensity value by combining the diffusion gradient of the highlight area, and outputting a pest grade. According to the method, the boundary of the optical mutation region of the focus region is depicted, so that the physical interpretation of disease detection is improved, and distinguishable feature spaces are provided for different infection mechanisms (such as fungal growth layers and insect pest piercing and sucking points).

The invention discloses a field crop full-period planting management system and method based on digital twinning. Comprising a multi-source sensing and data acquisition module, a crop-environment digital twinborn modeling module, a full-cycle growth state evaluation module, an intelligent planting decision generation module, a precise execution and process control module, a dynamic growth prediction module and a twinborn model iteration and optimization module. According to the method, a space-time alignment algorithm and a mapping precision function are introduced, dynamic association of physical and virtual environments is constructed, it is ensured that a virtual model can accurately reflect the real state of crops and the environment, and a reliable basis is provided for management decision making; a management scheme adaptive to a growth period is deduced and generated based on twinborn simulation, advanced intervention is realized in combination with dynamic prediction, decision logic is continuously optimized through a model iteration mechanism, and scientificity and adaptability of decision are improved.

The invention relates to the technical field of fertilizers, in particular to an environment-friendly water-soluble fertilizer containing a seaweed extract and polyglutamic acid. The water-soluble fertilizer is prepared by preparing seaweed oligosaccharide and double-grafted poly-L-gamma-sodium glutamate and compounding and complexing the seaweed oligosaccharide and the double-grafted poly-L-gamma-sodium glutamate, has the characteristics of low salting-out, high stability, no precipitation, good slow release performance and the like, and can continuously release nutrients and keep a solution clear and transparent under a low-salt condition; and because the polyglutamic acid and seaweed extract compound drip irrigation agent has the chelation and water retention characteristics of the polyglutamic acid and the natural growth promoting effect of the seaweed extract, the crop rhizosphere nutrient absorption efficiency and stress resistance are remarkably improved, the compound drip irrigation agent is suitable for drip irrigation and water and fertilizer integrated application of greenhouse vegetables, fruit trees and field crops, and the comprehensive effects of high efficiency, low salt load and environment friendliness are achieved.

The invention provides a trichoderma maple fungicide, a microbial granular fertilizer as well as a preparation method and application of the trichoderma maple fungicide and the microbial granular fertilizer, and relates to the field of microorganisms. The acer rubrum fungicide contains acer rubrum RA with the preservation number of CGMCC No.35889. The acer rubrum fungicide has the capability of decomposing inorganic phosphorus, is wide in phosphorus dissolving range, can decompose tricalcium phosphate, ferric phosphate and aluminum phosphate, and particularly still has the very strong capability of decomposing the inorganic phosphorus under the low-temperature condition; the strain has the capability of producing siderophore and IAA at low temperature; the strain has an inhibition effect on various pathogenic bacteria causing field crop diseases. The microbial granular fertilizer provided by the invention contains various biostimulant substances, can promote crop growth, improve plant stress resistance and improve plant resistance to plant diseases and insect pests, and field tests prove that the microbial granular fertilizer can significantly promote crop growth and improve crop yield.

The invention provides a moniliella malayi and a fungicide and application thereof, and relates to the field of microorganisms. The acer rubrum is specifically acer rubrum RA, and the preservation number of the acer rubrum RA is CGMCC (China General Microbiological Culture Collection Center) No.35889. The acer rubrum RA can be used for preparing the acer rubrum. The strain has the capability of decomposing inorganic phosphorus, is wide in phosphorus-dissolving range, can decompose tricalcium phosphate, iron phosphate and aluminum phosphate, and particularly still has very strong capability of decomposing inorganic phosphorus under a low-temperature condition; the strain has the capability of producing siderophore and IAA at low temperature; the strain has an inhibition effect on various pathogenic bacteria causing field crop diseases, and can inhibit diseases such as corn root rot, sorghum leaf spot or wheat root rot; the strain can be colonized in a soil environment of 5-40 DEG C, a microbial inoculum prepared from the strain can promote crop growth, the crop yield is remarkably improved, and high yield can be achieved even if the usage amount of phosphate fertilizer is reduced.

The invention discloses an agricultural intelligent irrigation scheduling method and system based on deep learning, and relates to the technical field of intelligent agriculture, and the method comprises the steps: collecting field crop data in unit time, the field crop data comprising soil parameters, meteorological parameters and crop parameters; constructing an irrigation decision model, and analyzing a field water and fertilizer loss value according to the field crop data; setting a water and fertilizer dynamic coupling mechanism for irrigation scheduling, and adopting a dynamic compensation strategy for the field water and fertilizer loss value; based on the growth trend of field crops, constructing a farmland digital twinborn model, simulating the dynamic compensation strategy and generating a feature contribution value; and visualizing the feature contribution value to generate a farmland decision reason analysis report, thereby effectively reducing the pollution risk of agricultural activities to underground water and drainage basin water bodies, realizing an accurate irrigation strategy of agricultural soil, and avoiding resource waste.

The invention belongs to the technical field of pesticide compositions, and particularly provides a weeding composition containing topramezone or salt thereof, which comprises topramezone or salt thereof, agriculturally acceptable auxiliaries and biostimulant, the biostimulant is complex enzyme glycoside. The topramezone composition does not cause phytotoxicity to crops such as corn when used under the high-temperature condition, the use environment of topramezone is widened, and the topramezone composition can be used as a safe herbicide composition for field crops such as corn under the high-temperature condition in summer. Through further screening of auxiliaries, the weeding composition provided by the invention can improve the mixing performance of the preparation, has strong hard water resistance, is beneficial to plant absorption, improves the weeding effect, and is a safe and efficient herbicide preparation.

The invention discloses a field crop growth monitoring method based on low-altitude remote sensing multi-scale data, relates to the technical field of agricultural remote sensing and intelligent monitoring, and is used for solving the problem that a monitoring method integrating multi-scale remote sensing data and having high precision, high adaptability and high efficiency is lacked in the prior art. The method comprises the steps of collecting remote sensing image data of a monitoring area, performing splicing and spectrum correction on images, extracting canopy coverage, vegetation indexes, colors and texture features to construct a feature matrix, and dividing different cells based on clustering analysis; carrying out sampling analysis on the key cells at the middle-distance flight height, further obtaining cell growth vigor characteristics and determining sampling points; single plant growth vigor diagnosis is completed, and a diagnosis result is output; the method can be widely applied to field crop growth monitoring and precision agricultural management work.

The invention discloses a quaternary synergistic water-soluble fertilizer synergist as well as a preparation method and application thereof, and realizes deep coupling of chemical growth promotion, biological activation and physical slow release, multi-component synergistic interaction and efficient nutrient utilization based on a four-dimensional synergistic mechanism of chitosan oligosaccharide-oligopeptide-bioactive alkali-functional microbial agent. Wherein the modified chitosan oligosaccharide enhances the chelating ability through molecular structure optimization, and forms a nano-scale composite system with the oligopeptide, so that the absorption and transfer efficiency of nutrients on leaf surfaces and root systems is remarkably improved. The functional microbial agent and chitosan oligosaccharide cooperate to activate soil enzyme activity and promote release of insoluble phosphorus and potassium, so that the utilization rate of nitrogen, phosphorus and potassium is remarkably increased compared with that of a traditional fertilizer, and nutrient loss is effectively reduced. The quaternary synergistic water-soluble fertilizer synergist provided by the invention is high in compatibility, can be directly compounded with a commercially available water-soluble fertilizer for use, is suitable for diversified planting scenes of facility agriculture, field crops and commercial crops, and has large-scale popularization potential.

The invention provides an unmanned aerial vehicle field crop growth monitoring and abnormity response system and method based on spatial layering, a low-altitude unmanned aerial vehicle carries a spectrum camera to carry out full-coverage aerial photography on a field, spectrum data is sent to a ground control station, and the ground control station calculates a vegetation index difference value of current patrol data and historical patrol data; according to the method, abnormal areas and grades are determined through a pre-established threshold matrix, then a near-earth unmanned aerial vehicle carries out refined aerial photography on corresponding grade areas through a carried RGB camera according to an abnormal area distribution map, a ground control station processes images to determine disease cause types, and then the ground control station generates an operation prescription map; the actual application amount is calculated through an application amount compensation algorithm, finally, sampling reinspection is conducted on the abnormal area through the near-earth unmanned aerial vehicle, and whether self-adaptive adjustment of the threshold value matrix is triggered or not is judged. According to the invention, monitoring, analysis and execution are completed through low-altitude, near-ground and ground multi-layer cooperation, and rapid and accurate monitoring of field crop growth and efficient response to abnormal regions are realized.

The invention discloses a novel leuconostoc screening method and an antibacterial mechanism of leuconostoc on leaf mold of zanthoxylum bungeanum, and relates to the technical field of pathogenic bacteria experiment and analysis. The novel leuconostoc screening method comprises the following steps that S1, materials are prepared, specifically, rotten Chinese prickly ash tree plants are selected, and tested strains in the Chinese prickly ash tree plants comprise plant pathogens of alternaria alternata, fusarium solani, fusarium layered, fusarium oxysporum, fusarium syphilis and colletotrichum pini, and are stored in a refrigerator of a laboratory at the temperature of 4 DEG C for standby application; in the invention, the leuconostoc also has an efficient inhibition effect on field crop pathogenic fungus alternaria alternata, and the research expands the biocontrol spectrum of lactic acid bacteria. Meanwhile, the invention discloses a molecular mechanism that the Leuconostoc suionicum HJ-L synergistically regulates and controls the synthesis of antibacterial substances through lipid metabolism, an ABC transport system and an autophagy pathway, and a theoretical basis and a practical basis are provided for the application of the strain in green prevention and control of the leaf mold of Chinese prickly ash.

The invention discloses an intelligent real-time dynamic precise laser weeding method and device, and relates to the field of laser weeding, and the weeding device comprises an image acquisition module, a processor, a laser reflector, a single-chip microcomputer control module, an IMU sensor, a high-precision encoder and the like. Wherein the image acquisition module is used for acquiring field crop and weed images, the processor processes the acquired crop and weed images based on an LW-YOLO model, extracts weed position coordinate information, and performs optimal planning on a laser scanning path; the laser reflector is used for controlling the laser to irradiate a target position through the rotation of the laser reflector; the single-chip microcomputer control module is used for controlling the phase voltage of the brushless motor, transmitting a command issued by the processor to the sensor and the execution mechanism, and improving the positioning precision of the motor through an FOC algorithm. The weeding precision and efficiency are remarkably improved, the waiting time during static weeding is shortened, and the advantages of high precision and high efficiency are achieved.

The present application relates to a kind of high nutrient high activity chemical fertilizer biological compound fertilizer and its preparation and application, belong to agricultural fertilizer technical field.The high nutrient high activity chemical fertilizer biological compound fertilizer of the present application includes inorganic fertilizer and microbial inoculant, the nitrogen phosphorus potassium nutrient content of the chemical fertilizer biological compound fertilizer is greater than 40%, and microbial viable count is above 200 million cfu / g, also includes microbial protective agent, the mass ratio of the microbial protective agent and microbial inoculant is ≥1.The high nutrient high activity chemical fertilizer biological compound fertilizer product of the present application realizes the deep compound of chemical fertilizer and active microorganism, has multiple efficacy of chemical fertilizer and microbial fertilizer, overcomes the neck blocking technical problem that chemical fertilizer and microbial fertilizer are incompatible in production, storage and transportation, use process, significantly improves chemical fertilizer utilization efficiency, reduces fertilizer use cost, solves the problem that microbial fertilizer cannot be generally used in field crops, integrates fertilizer yield and quality improvement, fertile soil and pollution prevention and other functions.

The application discloses a kind of multiscale unmanned aerial vehicle image monitoring crop growth methods and systems, belong to agricultural remote sensing and intelligent monitoring technical field.The method of the present application comprises: controlling unmanned aerial vehicle to collect target area low-resolution remote sensing image at first height;Based on first identification model, crop land boundary is extracted and divided into multiple grids;The health index of each grid is calculated, and the center point of the abnormal grid is located based on the statistical threshold value;Control unmanned aerial vehicle to descend to second height and fly to the top of abnormal grid to carry out leaf scale high-resolution imaging;High-resolution image is input into second identification model, and output fine diagnosis results such as water shortage, lack of fertilizer, disease and pest.The present application realizes the organic combination of large-scale rapid screening and local accurate diagnosis through two-level scale cooperative monitoring, greatly improves the efficiency and accuracy of crop growth monitoring, and is suitable for field crop automation, intelligent growth management.

The utility model discloses a field crop growth state remote sensing monitoring device which comprises a first supporting rod and a second supporting rod, one end of the first supporting rod and one end of the second supporting rod are both vertically provided with through holes, rotating shafts are vertically arranged in the through holes, fixed pulleys are sleeved on the rotating shafts, and the field crop growth state remote sensing monitoring device further comprises a first wire spool, a second wire spool and a rope. One end of the rope bypasses the fixed pulley on the first supporting rod and then is wound on the first wire spool, the other end of the rope bypasses the fixed pulley on the second supporting rod and then is wound on the second wire spool, a remote sensing camera is connected to the part, between the two fixed pulleys, of the rope, and the remote sensing camera is connected with a monitoring terminal through a wireless communication network; the device is simple in structure, low in manufacturing cost, low in use cost and very applicable.

The invention relates to the technical field of field character detection, in particular to a crop breeding-based field character detection method, which comprises the following steps of: determining an environment penalty value according to detected color data and soil data of field crops, determining a yield reward value according to the detected field crop growth data and the nutrition data stored in the crop management platform, and determining a fertilizer utilization value according to the detected field soil element data; performing weighted summation to generate a fertilization adjustment reward function, wherein a dynamic coefficient is determined according to crop breeding stage big data fitting of a crop management platform; the fertilization amount reinforcement learning model is updated regularly based on the fertilization adjustment reward function, and the fertilization amount reinforcement learning model determines the breeding multi-element recommended fertilization amount based on the Critic network and the Actor network. According to the method, collaborative closed-loop detection and field detection data mining of stress resistance, yield increase and fertilizer saving of the reinforcement learning model in combination with breeding are realized.

The invention discloses an intelligent water-saving irrigation control device, and relates to the technical field of irrigation. According to the intelligent water-saving irrigation control device, the servo push rod drives the sprayers to ascend and descend, the spiral guide structure achieves steering and is matched with pitch angle self-adaptive adjustment, large-area circumferential coverage can be achieved through a single device, and compared with traditional sprayers with fixed heights and fixed angles, the deployment number of the sprayers in the field can be reduced; the device greatly reduces the equipment purchase cost and the field installation construction workload, aims at the problems that the water flow drop points of a traditional spray head are concentrated and more in the near and less in the far, enables the water flow drop points to form a reciprocating covering track from the near to the far and from the far to the near through the cooperative operation of lifting, steering and angle switching of the spray head, improves the irrigation uniformity, and improves the irrigation efficiency. The problems of water shortage of crops in areas far away from water flow drop points and saturation and loss of water sources in the areas close to the water flow drop points are effectively solved, water supply balance of field crops is guaranteed, and crop growth consistency is improved.

The utility model discloses a field planting overwintering protection device which comprises an irrigation water conveying belt and a connecting three-way pipe, the connecting three-way pipe is fixedly installed at the top end of the irrigation water conveying belt in an embedded mode, a connecting pipe head is fixedly installed at the tail end of the connecting three-way pipe, and a connecting water pipe is fixedly installed on the connecting pipe head in an embedded mode. A supporting water box is installed on the outer side of the tail end of the connecting water pipe, a combined pipe head is arranged in the center of the side face of the supporting water box and fixedly embedded with the connecting water pipe, an inserting rod is arranged in the center of the bottom face of the supporting water box, and an annular iron sheet is installed on the top face of the supporting water box. According to the overwintering protection device for field planting, the connection three-way pipe and the connection water pipe on the irrigation water conveying belt can be combined, equal-interval laying work is facilitated, the supporting water box can be inserted into the land through the insertion rod for reinforcement work, the follow-up toppling phenomenon is avoided, and overwintering protection spraying irrigation is facilitated.

The invention discloses a variable pesticide application system based on a K-means clustering optimization algorithm and a control method, and relates to the technical field of variable pesticide application, and the variable pesticide application system comprises a rotating cage nozzle, a direct current brushless motor, a brushless water pump, a positioning module, a flow sensor, a core controller, a wireless transmission module and a cloud platform. The control method comprises the steps that farmland geographical position data are collected in real time through a positioning module and uploaded to a cloud platform, the cloud platform conducts clustering analysis on the geographical position data through a K-means clustering algorithm, a farmland is divided into multiple areas, and pesticide applying parameters of all the areas are generated; after the core controller receives the parameters, real-time positioning and flow feedback are combined, the PWM duty ratio is dynamically adjusted through a PID control algorithm, the rotating speed of a motor and the flow of a water pump are controlled, and precise variable pesticide application is achieved. Intelligent zoning and closed-loop control based on data driving are achieved, the pesticide utilization rate is effectively increased, pesticide liquid waste and environmental pollution are reduced, and the system is suitable for large-scale precise pesticide applying operation of field crops.

To provide a reagent and a methyl salicylate sensor for detecting methyl salicylate which is a plant hormone released when a plant is infected with a pathogenic fungus in the cultivation of the plant including a field crop, to provide a method for sensing methyl salicylate using the same, and to provide a method for detecting the pathogenic fungus infection of the plant.SOLUTION: A reagent for detecting methyl salicylate, comprising a terbium compound and an amine. A methyl salicylate sensor includes a methyl salicylate capture part having the reagent, and a detection part for detecting that methyl salicylate is captured by the capture part.SELECTED DRAWING: None

1. The name of the design product: self-propelled winch sprinkler. 2. The use of the design product: for automatic irrigation of field crops. 3. The design points of the design product: in the combination of shape and pattern. 4. The picture or photo that best shows the design points: perspective view. 5. The bottom surface of the design product is the part that is not easy to see or cannot be seen during use, and the top view is omitted.

The present application relates to the technical field of field trait detection, and particularly relates to a field trait detection method based on crop breeding, comprising the following steps: determining an environment penalty value according to detected field crop color data and soil data, determining a yield reward value according to detected field crop growth data and nutrient data stored in a crop management platform, and determining a fertilizer utilization value according to detected field soil element data; performing weighted summation to generate a fertilization adjustment reward function, wherein a dynamic coefficient is determined according to crop breeding stage big data fitting of the crop management platform; updating a fertilization amount reinforcement learning model based on the fertilization adjustment reward function at regular time intervals, and determining a breeding multi-element recommended fertilization amount based on the fertilization amount reinforcement learning model by combining a Critic network with an Actor network. The present application realizes collaborative closed-loop detection of stress resistance, yield increase and fertilizer saving and field detection data mining by combining a reinforcement learning model with breeding.

The present invention primarily relates to the use of compositions comprising L-glufosinate and / or salts thereof in a glufosinate tolerant field crop in foliar application, wherein the compositions contain less than 5 mol.-% of D-glufosinate and / or salts thereof, based on the total amount of L-glufosinate and salts thereof, under certain environmental conditions to achieve an increase in the control of harmful plants and / or a reduction of phytotoxicity in the tolerant field crop. The present invention also relates to according methods of treating a tolerant field crop using the mentioned compositions.

The application discloses a method for improving soda saline-alkali soil by artificially designed molecular sieve, which comprises an artificially designed molecular sieve improver, and the main component is calcium ion exchanged LTA type molecular sieve with a molecular formula of Ca6[(AlO2) 12 (SiO2) 12 ]:27H2O. The method comprises the following steps: diagnosing and evaluating soda saline-alkali soil; adding the artificially designed molecular sieve according to different pH indexes; throwing the corresponding amount of the improver on the surface of the soil, rotary plowing into the soil by 20 cm; irrigating the saline-alkali dry field to make the 20 cm soil layer reach the field water holding capacity, naturally drying to the water content of less than 20%, and starting to plant dry field crops; irrigating the saline-alkali paddy field to soak the field by 8-10 cm, stirring the slurry with a harrow for 36 hours, draining the soil after sedimentation, and irrigating the field by 3 cm for the second time and then transplanting rice seedlings. The application has the calcium-sodium replacement effect on the soil, can permanently lock the excess sodium ions in the soil by one-time treatment, and can solve the problem of heavy metal ion pollution in the soil.

The invention discloses a crop assistance method, system and equipment based on multi-source remote sensing data and a medium, mainly relates to the technical field of crop assistance, and is used for solving the problem that water resources are wasted due to the fact that a traditional irrigation system cannot distinguish water demand characteristics of different crops. The manual field crop type investigation efficiency is low, and the large-range dynamic monitoring requirement is difficult to meet. Comprising the steps of determining crop varieties and growth stages of each preset area based on an unmanned aerial vehicle, a satellite image and a user terminal; obtaining a reference evapotranspiration value and a soil moisture variation, and obtaining the actual water demand of crops in the preset area according to the crop variety, the growth stage, the soil moisture variation and the reference evapotranspiration value; based on the initial irrigation sequence of the preset area and the fitness function, utilizing a genetic algorithm to obtain an optimized irrigation sequence; and based on the optimized irrigation sequence and the actual water demand of the crops, controlling the operation of the irrigation devices in the preset areas.

The present application belongs to the field of farmland sprinkling irrigation technology, and particularly relates to a rice field spraying equipment, which comprises a vertical pipe, a water collecting cylinder, a first connecting part and a spraying mechanism. The spraying mechanism comprises a second connecting part, a transverse connecting pipe, a first nozzle and a second nozzle. The transverse connecting pipe is provided with a rotating joint. The vertical pipe is provided with a first rotating cylinder. The transverse connecting pipe is provided with a second rotating cylinder. The first rotating cylinder and the second rotating cylinder are connected with a water inlet branch pipe. The transverse connecting pipe and the second nozzle are provided with a swing assembly. The second connecting part is provided with a rotating assembly. The first connecting part and the second connecting part are provided with a locking assembly. The first nozzle and the second nozzle can comprehensively spray the rice field crops around the vertical pipe. The swing second nozzle can spray a farther range to expand the spraying area. The entering direction of the water flow can be changed to change the spraying mode. Not only normal spraying operation can be performed, but also the temperature and humidity of the upper air around the vertical pipe can be improved.

The invention discloses a crop phenotype in-situ analysis method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a field crop image acquired by a multi-view depth camera carried by an unmanned vehicle, performing semantic segmentation on the crop image to obtain a plant region and a background region, and dividing to obtain a plurality of grids; determining a dynamic response threshold value of the grid by adopting a gradient magnitude histogram mode, screening feature points from the grid according to the dynamic response threshold value, calculating ORB descriptors, and combining to form an ORB feature point set of the crop image; three-dimensional point cloud reconstruction is carried out based on IMU data and the ORB feature point set of the multi-view depth camera, and a global dense three-dimensional point cloud map is generated; identifying the global dense three-dimensional point cloud, removing ground points, reserving a crop vegetation point cloud, and carrying out single plant instance segmentation on the crop vegetation point cloud to obtain a point cloud cluster of a single crop plant; and performing phenotypic parameter calculation on the point cloud cluster of the single crop plant to obtain phenotypic parameters.

1. Name of the product in this design: Machine vision monitoring equipment (crop growth in agricultural fields). 2. Purpose of this design: This design is used for field crop environmental monitoring. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention relates to a bactericidal composition containing bupirimate and thymol. The bactericidal composition comprises effective components of bupirimate and thymol which are subjected to binary compounding, wherein the mass ratio of bupirimate to thymol is (1-20): (30-5), the mass fraction ratio of bupirimate to thymol in the preparation is 6%-50%, the synergist is organic silicon and compound sodium nitrophenolate, and the balance is auxiliary components which are allowed to be used and accepted in pesticides. The dosage form of the bactericidal composition is missible oil, a suspending agent, wettable powder, an emulsion in water, a microemulsion and a microcapsule. The bactericidal composition is suitable for preventing and treating various powdery mildew, leaf spot, epidemic diseases and anthracnose of ornamental plants such as fruit trees, vegetables, flowers and the like and field crops, and especially has a very good protection and treatment effect on powdery mildew of apples and strawberries.

The invention provides an intelligent agricultural information automatic acquisition method and system based on visual identification. The system comprises a visual acquisition module, a far-field RFID module and an intelligent micro-gateway module. The visual acquisition module is used for acquiring image information of field crops; the far-field RFID module is used for remotely identifying an RFID tag attached to an agricultural input; the intelligent micro-gateway module is in communication connection with the visual acquisition module and the far-field RFID module; the intelligent micro-gateway module is configured to respond to an identification event of the far-field RFID module, trigger the visual acquisition module to capture an image, intelligently analyze the image, perform data fusion on RFID identification information and a visual analysis result, and generate a structured farming operation record, and relates to the technical field of intelligent agriculture and Internet of Things. Through intelligent triggering and linkage of RFID and vision, recording of the whole process of farming operation can be automatically completed without manual intervention, and the data acquisition efficiency and accuracy are greatly improved.