237 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 discloses a compound microbial fertilizer and application thereof in field planting. The survival rate of the paenibacillus mucilaginosus HX-02 disclosed by the invention can be up to 62.8% after 170d under the condition of 38% of nitrogen, phosphorus and potassium. The strain is organically combined with bacillus velezensis RKN1111 and a nitrogen-phosphorus-potassium inorganic fertilizer (N + P2O5 + K2O = 38%), the compound microbial fertilizer is developed, the viable count of effective bacteria is not less than 1.5 billion / g, and the viable count of paenibacillus mucilaginosus is not less than 0.5 billion / g. The compound microbial fertilizer taking the strain as a main functional bacterium is applied to field corn planting, can replace part of chemical fertilizers and increase soil fertility, can reduce the use amount of the chemical fertilizers by 15.56%, and achieves the effects of promoting the growth of field crops and increasing the yield by 10.2%. The paenibacillus mucilaginosus HX-02 is separated from soil, is harmless to human, livestock and environment, and meets the requirements of green plant protection and agricultural sustainable development.

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.

Provided in the present disclosure are a method for increasing the biomass, yield and nitrogen utilization rate of crops, and an iron-rich compound fertilizer. The method comprises: supplementing and applying an iron fertilizer to a crop, wherein the microelement iron in the iron fertilizer can significantly promote the absorption and assimilation of the mineral nutrition of a nitrogen-containing chemical fertilizer by the crop to which the fertilizer is applied, thereby producing a synergistic effect, and the amount of the iron fertilizer applied to the crop is 0.37-0.74 kg per Chinese acre. Moreover, by means of the method provided by the present disclosure, the tillering number and the nutrient absorption and utilization of the crop can be improved after fertilization according to a method for field crops and normal field management of crops, thereby effectively improving the biomass, yield and nitrogen utilization rate of the crop.

The invention discloses a comprehensive ecological regulation and control method for compound diseases and insect pests of field crops, relates to the technical field of agricultural disease and insect pest control, and aims to solve the technical problems that various technologies are not effectively matched for use and the control effect is poor in the current control method. Comprising the following steps: investigating the current insect pest occurrence type and occurrence degree of crops, and counting data; according to the method, a beneficial farmland ecological environment is created through ecological regulation and control, for example, special plants are planted to repel and introduce beneficial insects; physical prevention and control means are adopted, for example, trapping with trapping belts can be customized for research and development, sex pheromone trapping and pest mating rhythm are combined, and light trapping selects wavelength according to pest phototaxis; through chemical prevention and treatment, on the basis of selecting low-toxicity pesticides and pesticide application technologies, the pesticide application time and dosage are accurately grasped, and pollution is reduced. According to the invention, a plurality of prevention and control means supplement each other, so that diseases and insect pests can be effectively handled under the condition of conforming to the sustainable agricultural development concept, and the growth of crops is guaranteed.

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 provides a method for improving biomass, yield and nitrogen utilization rate of crops and an iron-rich compound fertilizer.The method comprises the steps that an iron fertilizer is supplemented and applied to the crops, so that the microelement iron in the iron fertilizer can remarkably promote absorption and assimilation of the applied crops on mineral nutrition of the nitrogenous fertilizer, and the synergistic effect is achieved; wherein the application amount of the iron fertilizer to the crops is 0.37-0.74 kg per mu. And by adopting the method provided by the invention, the tillering number and nutrition absorption and utilization of crops can be enhanced according to a fertilization method of field crops and normal crop field management, so that the biomass, the yield and the nitrogen utilization rate of the crops are effectively improved.

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.

To provide a cultivation greenhouse capable of efficiently cultivating a plurality of kinds of field crop while improving energy efficiency than before.SOLUTION: A plurality of louver devices 2 capable of performing photovoltaic power generation by shielding light are severally disposed on an open side face of a greenhouse body 10 formed in an approximately rectangular parallelepiped shape. The louver device 2 arranged on a top face of the greenhouse body 10, because a ceiling part 15 of the greenhouse body 10 is constituted to rotate by an opening / closing mechanism R and to be capable of opening / closing, is constituted to rotate together with the ceiling part 15 to be capable of changing a posture corresponding to an opening / closing action of the ceiling part 15. A cultivation space for cultivating field crop is formed in the greenhouse body 10, and furthermore, a plant cultivation shelf device for cultivating plants, a mushrooms cultivation device for cultivating mushrooms housed below the plant cultivation shelf device, and a battery which charges electric power generated by the louver device 2 are disposed in the cultivation space.SELECTED DRAWING: Figure 1

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 relates to a field crop inter-row self-propelled phenotype acquisition system, comprising: an electromagnetic track laid between test field crop rows; the unmanned vehicle is provided with a power and control system and can automatically run along the electromagnetic track; the acquisition device is arranged on the unmanned vehicle and is used for acquiring a crop phenotype image and environmental parameters of a lower space of a crop canopy from bottom to top; and the positioning device is arranged on the electromagnetic track and is used for acquiring the real-time position of the unmanned vehicle and the relationship between the associated phenotype data and the acquired material. According to the invention, climate characteristics and plant phenotypic characteristics of a lower space of a crop canopy can be accurately recorded from bottom to top; the device can be applied to the field of agricultural equipment.

The invention discloses a multi-angle automatic pesticide spraying device for pest control, relates to the technical field of pesticide spraying devices in agriculture and forestry production, can be widely applied to field crop production, orchard management and forest cultivation processes, and is characterized in that the bottom of a connecting valve is connected with connecting female heads, and the bottoms of the two connecting female heads are connected with connecting male heads through threads; the bottom of the connecting male head is rotatably connected with a rotating pipe, the bottom of the rotating pipe is sequentially connected with a plurality of mounting pipes through a plurality of connecting gooseneck pipes, and one side of each mounting pipe is connected with a pesticide spraying gun. The pesticide liquid in the pesticide storage barrel can be continuously fed into the pesticide storage box to supplement the pesticide liquid, so that the device can continuously operate, manual pesticide spraying is not needed, the labor intensity of workers is reduced, manual inhalation of atomized pesticide is prevented, and the body health of farmers is guaranteed.

The invention relates to the technical field of field plant cultivation devices, in particular to a laser light supplementing device for field crop growth regulation and control. Comprising a power supply module, a control circuit module, a laser lighting module and a supporting column. The solar power generation panel, the energy storage unit and the laser transmitter are electrically connected with the control circuit module; the laser lighting module is fixed to the top of the supporting column. The solar power generation panel charges the energy storage unit through photoelectric conversion; the laser lighting module comprises a laser transmitter, a free-form surface lens array, a light-transmitting panel and a cover body, the free-form surface lens array covers the outer side of the transmitting end of the laser transmitter, and the light-transmitting panel is connected to the outer side of the free-form surface lens array in a sleeving mode. The upper part of the light-transmitting panel is hermetically connected with the cover body; a laser beam emitted by the laser emitter is transmitted and shaped through the free-form surface lens array, and a rectangular laser beam is emitted from the light-transmitting panel. The device has the advantages that the energy uniformity of light beams is improved, the energy consumption is reduced, and the irradiation distance is long.

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 aims to disclose a solid-liquid separation process for preparing an organic fertilizer by using vegetable wastes and application of the solid-liquid separation process, the vegetable organic wastes such as trimmed branches and leaves, rotten vegetables, imperfect fruits, fresh straws and the like are firstly juiced, auxiliary materials and a microbial fermentation inoculant are added into the juice part, and a liquid enzyme fertilizer is prepared by adopting a standing fermentation process; the liquid enzyme fertilizer can be used as a synergistic fertilizer to be applied to planting of greenhouse vegetables and can also be applied to other field crops; meanwhile, the solid part is prepared into a solid organic fertilizer by adopting an aerobic composting process and can be used as a base fertilizer or a raw material of a culture medium. According to the preparation method and the application provided by the invention, the problems of resource recycling of vegetable wastes in a vegetable planting process and reduction of environmental pollution are solved, the application of the organic fertilizer can reduce the use amount of chemical fertilizers, reduce the dependence of agricultural production on the chemical fertilizers, and help to protect the balance of a soil ecosystem, so that the economic benefit is increased. The sustainable development of agriculture is promoted.

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 invention belongs to the technical field of agricultural remote sensing, and relates to a field-level crop extraction method integrating SAR and optical images, including: SAR remote sensing image data, optical remote sensing image data, ground crop sample data and field data; filtering processing; cloud removal processing; cropping and clipping processing after superposition and registration, and establishing a sample data set of fused images; obtaining a fusion learning generation network of fused images based on SAR remote sensing image data and optical remote sensing data; generating a fusion data set; constructing a field extraction semantic segmentation network model, and obtaining a field identification semantic segmentation network; extracting field information using the field identification semantic segmentation network, and obtaining a field mask area; and performing supervised learning on crops in the field mask area to obtain crop classification results. The present invention realizes efficient and high-precision mapping in the field crop extraction process by integrating SAR remote sensing image data and optical image data and utilizing dense time series remote sensing images.

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.