193 results about "Field crop" patented technology

The invention relates to the field of intelligent agriculture and intelligent construction, and discloses an agricultural monitoring system and method based on an intelligent helmet, and the system comprises a wearable terminal, an active sampling control module, an image recognition processing module, a multi-modal fusion module, a recognition reasoning module, and a result output module. The method comprises the steps of collecting a field crop image and environment data; calculating an uncertainty index of an identification result according to the current image; if the uncertainty is high, adjusting the acquisition angle of the camera and re-sampling; constructing the image and the agricultural environment data into a multi-modal graph structure and carrying out graph neural network processing; performing dynamic trend identification on a fusion result, and outputting a crop state; and outputting an identification result through a helmet display or linking an agricultural control system to execute related operations. According to the invention, the capabilities of identification display, voice communication, operation guidance and system integration in a complex environment are improved, and the problems of poor real-time performance and weak interaction of an existing scheme are solved.

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 discloses an irrigation water utilization coefficient evaluation method and system based on irrigation area water use whole process simulation, and relates to the technical field of agricultural water-saving irrigation. Irrigation water utilization information is obtained through multi-source data fusion; based on the irrigation water utilization information, constructing an irrigation area water utilization whole-process simulation model; the whole-process water consumption simulation model for the irrigated area comprises main canal water simulation, field canal water simulation and field crop water simulation; calculating a water delivery utilization coefficient, a water distribution utilization coefficient and a field water utilization coefficient by utilizing the irrigation area water utilization whole-process simulation model; and multiplying the obtained water delivery utilization coefficient, water distribution utilization coefficient and field water utilization coefficient to obtain an irrigation water utilization coefficient. The irrigation water utilization coefficient is accurately measured and calculated, the water utilization efficiency of crops is accurately evaluated, and fine management of water utilization in an irrigation area and water-saving benefit evaluation can be achieved.

The invention discloses a crop field fertilization decision-making system based on big data analysis, which belongs to the technical field of field crop intelligent management, and comprises a data acquisition module, a storage and management module, an analysis and model construction module and a decision-making output module. Data acquisition is integrated with multiple means such as a high-precision soil sensor, satellite remote sensing and an unmanned aerial vehicle, and soil, crop growth and meteorological data are comprehensively obtained; the storage and management module adopts a distributed database in combination with a multivariate data processing technology to guarantee data quality and storage efficiency; constructing a precise model by using a neural network algorithm and performing dynamic optimization; decision output provides a personalized fertilization report which is conveniently displayed by means of a visual interface and a mobile terminal application. The system can improve fertilization decision accuracy, reduce fertilizer waste and improve crop yield and quality, is suitable for various farmland scenes, and provides an efficient and intelligent solution for modern agricultural precise fertilization.

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 weeding robot autonomous navigation system which is composed of a core module and a sensing module, and the core module is responsible for information receiving, data processing, algorithm operation, control instruction issuing and motion control functions of the field crop weeding robot autonomous navigation system; the core module comprises an autonomous navigation system master controller, a chassis master controller and a remote control terminal; the sensing module is responsible for sensing environment information of the autonomous navigation system of the field crop weeding robot, so that the robot can construct a map of a working environment and realize positioning and repositioning functions; the invention further discloses a control method of the autonomous navigation system of the field crop weeding robot, full-autonomous navigation can be achieved in the field weeding operation process, good navigation stability is achieved, the labor cost is reduced, and meanwhile the operation efficiency of the field crop weeding robot is effectively improved.

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.

To provide a CO2 application system enabling reduction of supply amount of CO2.SOLUTION: A CO2 application system comprises: a plurality of support posts which are arranged in such a way as to surround a predetermined area of a farm field; tubes which are arranged between a plurality of support posts, and have openings; a partitioning portion which can partition a space in the predetermined area and a space outside the predetermined area; a supply pipe which supplies gas to the tubes; a concentration meter which detects the concentration of CO2 in the space in the predetermined area; and a supply device which supplies gas from the openings to the predetermined area when CO2 concentration detected by the concentration meter becomes lower than a threshold value. The height of the partitioning portion to the top end is a predetermined height or more of field crop in the predetermined area, a height from the ground surface of the predetermined area to the opening is a predetermined height or more of the field crop and a height of the top end of the partitioning portion or less.SELECTED DRAWING: Figure 2

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 invention provides a wheat leaf area index whole growth period estimation method based on canopy pure hyperspectral reflectivity, which comprises the following steps of: firstly, extracting wheat canopy spike, leaf and soil pure pixels based on an RGB (Red, Green and Blue) image combined with a deep learning algorithm; secondly, separating the canopy pure leaf hyperspectral reflectivity by using the extracted pure pixels and canopy hyperspectral reflectivity data in combination with a non-negative matrix factorization algorithm; and finally, calculating a vegetation index based on the canopy pure leaf hyperspectral reflectivity, and establishing a whole-growth-period LAI estimation model in combination with a simple linear regression algorithm. According to the method, the problem that the LAI inversion precision is reduced after heading is solved by combining near-end remote sensing and a machine learning algorithm, and the wheat LAI estimation method based on the canopy pure hyperspectral reflectivity has the potential of accurately predicting the LAI of the wheat in the whole growth period and can be expanded to accurate management of field crops and breeding of high-yield wheat varieties.

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.

A water-soluble red-light carbon dot and its preparation method and application, the method comprising the following steps: adding dicyandiamide and o-phenylenediamine to deionized water containing sulfuric acid and stirring for 20-30 minutes to form a suspension; placing the suspension in an autoclave and heating the reaction at 100-200°C for 6-12 hours to form a dark blue carbon dot solution; after cooling the dark blue carbon dot solution to room temperature, filtering it with a water-based microporous membrane and dialysis bag, respectively, to remove impurities and obtain pure water-soluble red-light carbon dots. This method has the advantages of simple process, easy operation, low cost, and no pollution, and can be used for industrial production; the prepared water-soluble red-light carbon dots are small in size, have good monodispersity, a graphene-like structure, and water solubility, and can significantly improve the absorption and transport of potassium and sodium ions by the roots of field crops under drought stress and salt stress, thereby increasing the photosynthetic rate and stomatal conductance of the crops and alleviating drought and salt stress in field crops.

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.

The invention belongs to the technical field of pesticide weeding, and discloses a weeding composition and application thereof.The weeding composition comprises an active component A and an active component B. The active component A is isoxamid or ester thereof, the active component B is oxadiargyl and oxadiazon, and the mass ratio of the active component A to the active component B is 3: 80-96: 5. The weeding composition provided by the invention can effectively improve the control effect on weeds, is high in safety to field crops, and meets the requirements of comprehensive control on weeds in rice fields.

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

The invention discloses a high-organic-matter biological matrix and a preparation method thereof. The biological matrix is prepared from the following components in percentage by mass: 20% of imported peat, 30% of coco coir, 30% of a fermented material consisting of tobacco powder and livestock and poultry manure, and 20% of perlite. The preparation method comprises the following steps: uniformly mixing tobacco powder, livestock and poultry manure, imported peat and coco coir, composting and fermenting for not less than 45 days, controlling the temperature not to exceed 72 DEG C, crushing, screening, storing and cooling, adding microbial strains, and carrying out anaerobic fermentation in a packaging bag for 7 days; the organic matter content of the obtained biological matrix exceeds 45%, and the biological matrix can effectively loosen soil, promote crop root growth and release phosphorus and potassium elements in soil, can be used for field crop and vegetable seedling raising and the like, and has the advantages of being safe, environmentally friendly and remarkable in soil improvement effect.

The present invention relates to a mobility-type unmanned pest control device capable of effectively spraying a chemical solution onto field crops in agricultural fields. The mobility-type unmanned pest control device according to the present invention comprises: a body having a structure parallel to the ground; a plurality of wheels for driving; a driving unit for driving the plurality of wheels; a steering unit for steering the plurality of wheels; chemical solution spraying units positioned on a lower end and a side surface of the body and capable of spraying a chemical solution downward or sideward; and a control unit which comprises one or more processors and a memory and controls driving and chemical solution spraying. Accordingly, the device has the advantage of effectively driving along furrows of a field, for which pest control is to be performed, and uniformly spraying a chemical solution onto field crops.