Oil tea water and fertilizer integrated intelligent fertilization method, system and equipment

Abstract

The invention provides a camellia oleifera water and fertilizer integrated intelligent fertilization method, system and equipment, and belongs to the technical field of intelligent fertilization, and the method comprises the following steps: determining the soil elevation of each unit block to construct a block curved surface of the unit block, and obtaining a region elevation plane of a camellia oleifera fertilization region; obtaining a current camellia oleifera growth stage and a comprehensive qualification coefficient of each unit block, and obtaining environment data collected by a sensor group arranged in each unit block; determining a fertilization scheme of the corresponding unit block according to the environmental data captured by the sensor group, the estimated growth standard of the camellia oleifera in the current growth stage and the comprehensive qualification coefficient; performing rainwater flow direction division on the elevation plane of the region, and setting a fertilization interval T between the current moment and the period end moment corresponding to the current growth stage in combination with weather forecast information; when the set fertilization interval T is reached every time, the fertilization scheme is continuously updated, and the two electromagnetic valves of the corresponding unit blocks are controlled to be opened. A reasonable fertilization interval is set, so that the fertilization efficiency is effectively ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent fertilization, and in particular to an oil-tea water-fertilizer integrated intelligent fertilization method, system and equipment. Background Art

[0002] Water-fertilizer integration is to scientifically mix fertilizer and fertilizing water, and realize precise fertilization through fertilization pipes. While easily realizing small amounts of fertilization multiple times, it can better meet the fertilizer needs of seedlings at different growth stages.

[0003] The existing fertilization is achieved through the fertilizer pipes arranged in the oil tea fields, and then the equipment that needs irrigation is remotely controlled according to the growth cycle to achieve fertilization in the oil tea fields. However, in this process, if fertilizer is applied on schedule, the normal growth of the oil tea will be guaranteed, but due to the different elevations in the oil tea fields, the different growth of the plants and the different water collection conditions in different areas, etc., the fertilization efficiency and plant growth rate will be reduced to a certain extent.

[0004] Therefore, the present invention proposes an intelligent fertilization method, system and equipment for integrated water and fertilizer application for oil tea. Summary of the invention

[0005] The present invention provides an intelligent fertilization method, system and equipment for integrated water and fertilizer for oil-tea, which are used to effectively determine the fertilization plan by constructing an elevation surface of the fertilization area and combining environmental data collected from unit blocks and the growth conditions of oil-tea, and then set a reasonable fertilization interval by combining with weather forecast information and rainwater convergence coefficient to effectively ensure fertilization efficiency.

[0006] The present invention provides an intelligent fertilization method for oil-tea with integrated water and fertilizer, comprising:

[0007] Step 1: Divide the oil-tea fertilization area into units, and determine the soil elevation of each unit block to construct a block surface of the unit block, and obtain a regional elevation surface of the oil-tea fertilization area;

[0008] Step 2: Obtain the current growth stage and comprehensive qualified coefficient of the oil-tea tree of each unit block, and at the same time, obtain the environmental data collected by the sensor group set in each unit block;

[0009] Step 3: Determine a fertilization plan for a corresponding unit block according to the environmental data captured by the sensor group, the estimated growth standard of the oil-tea tree at the current growth stage, and the comprehensive qualification coefficient;

[0010] Step 4: dividing the regional elevation surface into rainwater flow directions, and setting rainwater convergence coefficients for each unit block respectively, and setting a fertilization interval T between the current time and the end time of the cycle corresponding to the current growth stage in combination with weather forecast information;

[0011] Step 5: When each set fertilization interval T is reached, continue to update the fertilization plan. Then, when each fertilization plan is obtained, control the two solenoid valves set in the corresponding unit block to open and perform fertilization treatment.

[0012] Preferably, determining the soil elevation of each unit block to construct the block surface of the unit block includes:

[0013] Measuring the soil elevation of each position point in each unit block in sequence based on a position sensor to obtain the soil elevation of each position point;

[0014] Attaching the soil elevation to the corresponding position point to obtain the block surface of the unit block.

[0015] Preferably, obtaining the current growth stage and comprehensive qualification coefficient of the oil tea in each unit block includes:

[0016] According to the initial growth time of the oil tea in each unit block, respectively obtain the current growth stage of the oil tea in each unit block from the time - oil tea variety - full - cycle comparison table;

[0017] At the same time, take an all - around image of the unit block at 1° and analyze the captured images at each angle to obtain the growth trend of the oil tea in the corresponding unit block, and then obtain the comprehensive qualification coefficient.

[0018] Preferably, analyzing the captured images at each angle to obtain the comprehensive qualification coefficient of the oil tea in the corresponding unit block includes:

[0019] Based on the captured images at each angle, perform bounding box selection on the plants of the oil tea, set numbers for the bounding boundaries of each plant, and construct a boundary set with the same number, where each bounding boundary in the boundary set is regarded as the first boundary;

[0020] Project each first boundary in the same boundary set into a preset coordinate system for drawing to determine the occurrence times of each position point;

[0021] Based on the angular relationship between the shooting plane of the device at each shooting angle and the reference comparison plane of the photographed oil tea, and combined with the shooting focus point, determine the highlighting coefficient of the bounding boundary of each plant at the corresponding shooting angle;

[0022] According to the highlighting coefficient corresponding to each first boundary in the boundary set and the occurrence times of each position point in the first boundary, screen out the valid points and reconstruct to obtain the final boundary of the corresponding plant;

[0023] Select the first image with the maximum coefficient from all the highlighting coefficients in the boundary set of the corresponding plant, and crop the first image according to the first boundary with the maximum highlighting coefficient to obtain a cropped image;

[0024] Perform grayscale processing on the cropped image to obtain the growth trend of the corresponding plant, and determine the growth coefficient and the pest and disease coefficient of the corresponding plant;

[0025] Based on the boundary length, growth coefficient, and pest and disease coefficient of the final boundary of the corresponding plant, obtain the growth qualification coefficient of the corresponding plant;

[0026] Based on the growth qualification coefficients of all plants in the corresponding unit block, obtain the comprehensive qualification coefficient of the oil tea under the corresponding unit block.

[0027] Preferably, before obtaining the environmental data collected by the sensor group set in each unit block, it includes:

[0028] Sort the elevations of each position point in the unit block from small to large, and divide the sorting result with a preset height threshold to obtain the first quantity of the position points existing in each divided line segment, and determine whether there is an elevation with the most frequent occurrence under the corresponding divided line segment;

[0029] If it exists, use the elevation with the most frequent occurrence as a cluster;

[0030] If not, use the average value of all elevations involved under the corresponding divided line segment as a cluster;

[0031] Judge whether the absolute value of the difference in elevation between adjacent clusters after sorting is less than the preset height threshold;

[0032] If so, obtain the average value of the elevations of adjacent clusters as a new cluster and retain it;

[0033] Otherwise, retain the original clusters;

[0034] Based on all retained clusters, cluster all elevations and position points of the corresponding unit block, and set a sensor group for each continuous surface formed by the clustering results.

[0035] Preferably, divide the regional elevation surface according to the rainwater flow direction, and set the rainwater convergence coefficient for each unit block respectively, including:

[0036] Input the regional elevation surface into the flow direction analysis model to obtain several rainwater basins;

[0037] Determine the number of irrigation sources converging to the same unit block, and at the same time, determine the source priority of each irrigation source;

[0038] Set a rainwater convergence coefficient for each unit block involved in the corresponding rainwater basin according to the high and low trends of each rainwater basin, the distance between the starting point of the corresponding rainwater basin and the corresponding irrigation source, the source priority, the unit blocks passed by the corresponding rainwater basin, and in combination with the number of irrigation sources of the corresponding unit block.

[0039] Preferably, in combination with weather forecast information, set a fertilization interval T between the current moment and the end moment of the cycle corresponding to the current growth stage, including:

[0040] Perform a preset dimension split on the weather forecast information and construct a weather matrix;

[0041] Input the weather matrix into a matrix analysis model to obtain the drought state of the fertilization area of the oil tea at the end moment of the cycle;

[0042] Determine the time length between the current moment and the end moment of the cycle corresponding to the current growth stage;

[0043] Determine the initial cycle matching the drought state from the state - length - cycle comparison table;

[0044] If the weather forecast information has nothing to do with rainfall, at this time, regard the initial cycle as the set fertilization interval T;

[0045] If the weather forecast information is related to rainfall, at this time, determine the balance relationship based on the total rainfall and evaporation obtained from the weather forecast information;

[0046] Adjust the initial cycle based on the rainwater convergence coefficient and balance relationship of the corresponding unit block to obtain the set fertilization interval T.

[0047] Preferably, the two solenoid valves include: a fertilization solenoid valve and an irrigation solenoid valve.

[0048] The present invention provides an integrated intelligent fertilization system for oil tea and water, including:

[0049] An elevation surface construction module, used to divide the fertilization area of the oil tea into units, determine the soil elevation of each unit block to construct the block surface of the unit block, and obtain the regional elevation surface of the fertilization area of the oil tea;

[0050] A data acquisition module, used to obtain the current growth stage and comprehensive qualification coefficient of the oil tea for each unit block, and at the same time, obtain the environmental data collected by the sensor group set for each unit block;

[0051] A scheme determination module, used to determine the fertilization scheme for the corresponding unit block according to the environmental data captured by the sensor group, the estimated growth standard of the oil tea in the current growth stage, and the comprehensive qualification coefficient;

[0052] An interval setting module is used to divide the rainwater flow direction of the regional elevation surface, set a rainwater convergence coefficient for each unit block respectively, and combine weather forecast information to set a fertilization interval T between the current moment and the end moment of the cycle corresponding to the current growth stage.

[0053] A fertilization treatment module is used to continuously update the fertilization plan when the set fertilization interval T is reached each time. Then, when the fertilization plan is obtained each time, two electromagnetic valves set in the corresponding unit block are controlled to open for fertilization treatment.

[0054] The present invention provides a device including a storage medium for executing the above-mentioned intelligent fertilization method for integrated oil tea water and fertilizer.

[0055] Compared with the prior art, the beneficial effects of the present application are as follows:

[0056] By constructing the elevation surface of the fertilization area and combining the environmental data collected from the unit blocks and the growth situation of the oil tea, the fertilization plan is effectively determined. Then, by combining with weather forecast information and the rainwater convergence coefficient, a reasonable fertilization interval is set to effectively ensure the fertilization efficiency.

[0057] Other features and advantages of the present invention will be described in the following specification, and some of them will be obvious from the specification or understood by implementing the present invention. The objectives and other advantages of the present invention can be achieved and obtained through the structures specifically pointed out in the written specification and the drawings.

[0058] The technical solution of the present invention will be further described in detail below through the drawings and embodiments. Description of the Drawings

[0059] The drawings are used to provide a further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation to the present invention. In the drawings:

[0060] Figure 1 is a flowchart of an intelligent fertilization method for integrated oil tea water and fertilizer in an embodiment of the present invention;

[0061] Figure 2 is a structural diagram of an intelligent fertilization system for integrated oil tea water and fertilizer in an embodiment of the present invention. Detailed Embodiments

[0062] The following describes the preferred embodiments of the present invention with reference to the drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention and are not used to limit the present invention.

[0063] The present invention provides an intelligent fertilization method for integrated oil tea water and fertilizer, as Figure 1 shown, including:

[0064] Step 1: Divide the fertilization area of the oil-tea camellia into units, determine the soil elevation of each unit block to construct the block surface of the unit block, and obtain the regional elevation surface of the fertilization area of the oil-tea camellia;

[0065] Step 2: Obtain the current growth stage and comprehensive qualification coefficient of the oil-tea camellia in each unit block. At the same time, obtain the environmental data collected by the sensor group set in each unit block;

[0066] Step 3: Determine the fertilization plan for the corresponding unit block according to the environmental data captured by the sensor group, the estimated growth standard of the oil-tea camellia in the current growth stage, and the comprehensive qualification coefficient;

[0067] Step 4: Divide the rainwater flow direction of the regional elevation surface, set the rainwater convergence coefficient for each unit block respectively, and combine the weather forecast information to set the fertilization interval T between the current moment and the end moment of the cycle corresponding to the current growth stage;

[0068] Step 5: When the set fertilization interval T is reached each time, continue to update the fertilization plan. Then, when the fertilization plan is obtained each time, control the opening of two solenoid valves set in the corresponding unit block and perform fertilization treatment.

[0069] Preferably, the two solenoid valves include: a fertilization solenoid valve and an irrigation solenoid valve.

[0070] In this embodiment, a fertilization belt and an irrigation belt are arranged in the fertilization area of the oil-tea camellia. A plurality of fertilization pipes and irrigation pipes are laid at the roots of the oil-tea camellia. Openings opened or closed by solenoid valves are arranged on the fertilization pipes and irrigation pipes. The distances between the fertilization pipes and irrigation pipes and the roots of the oil-tea camellia are 2.5 cm - 10 cm. Solenoid valves are arranged in one-to-one correspondence on the fertilization pipes and irrigation pipes, and the positions are in one-to-one correspondence. The fertilization solenoid valve and the irrigation solenoid valve appear in pairs. It should be noted that the solenoid valves involved in each unit block are set in advance.

[0071] In this embodiment, the sensor group includes a humidity sensor and a PH sensor.

[0072] In this embodiment, the height (elevation) of each position point is measured respectively based on a position sensor, and then an elevation surface is formed. The regional elevation surface is composed of each block surface, and each position point in the block surface is a point coordinate and an elevation.

[0073] In this embodiment, the unit division can be obtained by dividing according to 3m × 3m.

[0074] In this embodiment, the current growth stage refers to the stage starting from the moment of planting the oil-tea camellia and obtained in combination with the entire growth cycle of the oil-tea camellia.

[0075] In this embodiment, the comprehensive qualification coefficient is obtained based on the qualification coefficients of each plant involved in the corresponding unit block.

[0076] In this embodiment, the environmental data is collected by the sensor group and includes soil humidity and soil pH value.

[0077] In this embodiment, the fertilization plan is obtained by matching from the environmental-predicted growth standard-coefficient comparison table. The comparison table contains the set growth standards of Camellia oleifera, comprehensive qualification coefficients, and corresponding fertilization plans under different environmental data. The commonly used fertilizers for Camellia oleifera seedlings include: green manure, compound fertilizer, rapeseed cake, human excrement and urine, manure, urea, calcium magnesium phosphate fertilizer, etc. For example, the obtained fertilization plan is: the compound fertilizer is r1mol / L, that is, all kinds of parameters existing in the comparison table are set in advance and can be directly matched to obtain.

[0078] In this embodiment, the weather forecast information is obtained based on the weather app and can be the weather information for one month.

[0079] In this embodiment, the rainwater convergence coefficient is realized based on the division of rainwater flow direction.

[0080] In this embodiment, the set fertilization interval T is calculated based on the weather forecast information, rainwater convergence coefficient, etc., but does not deviate from the set time (the initial time obtained subsequently) for normal fertilization.

[0081] In this embodiment, the fertilization plan needs to be continuously updated to ensure the reasonable growth of Camellia oleifera.

[0082] The beneficial effects of the above technical solutions are: by constructing the elevation surface of the fertilization area and combining the environmental data collected from the unit block and the growth situation of Camellia oleifera, the fertilization plan is effectively determined. Then, by combining with the weather forecast information and rainwater convergence coefficient, a reasonable fertilization interval is set to effectively ensure the fertilization efficiency.

[0083] The present invention provides an intelligent fertilization method for integrated water and fertilizer of Camellia oleifera, which determines the soil elevation of each unit block to construct the block surface of the unit block, including:

[0084] Based on the position sensor, each position point in each unit block is measured in turn to obtain the soil elevation of each position point;

[0085] Attach the soil elevation to the corresponding position point to obtain the block surface of the unit block.

[0086] In this embodiment, each position point in the block surface includes position coordinates and soil elevation.

[0087] The beneficial effects of the above technical solution are as follows: By using a position sensor to measure the soil elevation at position points, a block surface can be constructed, which facilitates the subsequent determination of fertilization.

[0088] The present invention provides an integrated intelligent fertilization method for oil tea, which obtains the current growth stage and comprehensive qualification coefficient of oil tea for each unit block, including:

[0089] According to the initial growth time of the oil tea in each unit block, the current growth stage of the oil tea in each unit block is obtained from the time - oil tea variety - full - cycle comparison table respectively;

[0090] Meanwhile, the unit block is photographed comprehensively at an interval of 1°, and the photographed images at each angle are analyzed to obtain the growth trend of the oil tea in the corresponding unit block, and then the comprehensive qualification coefficient is obtained.

[0091] In this embodiment, the initial growth time refers to the time when the oil tea is planted. Oil tea can be propagated by seeds, cuttings or grafting. To maintain the excellent traits of the parent, cuttings or grafting are mostly used for seedling raising, and then planting and afforestation are carried out. The most suitable afforestation season is from the Beginning of Spring to the Waking of Insects, and there are also those carried out in October. Direct seeding for afforestation is best in winter. Because oil tea has its own growth cycle, the initial growth time can also be the initial time in the stage from after picking to before the next picking.

[0092] In this embodiment, the time - oil tea variety - full - cycle comparison table can be directly retrieved based on the initial growth time, oil tea variety and its corresponding full growth cycle, and the full growth cycle includes: germ stage, seedling stage, juvenile stage, adult stage, full - fruit stage, senescence stage.

[0093] In this embodiment, the comprehensive shooting refers to 360° shooting, and the oil tea is horizontally moved around at an interval of 1° for shooting, so that the photographed images at different angles can be obtained.

[0094] In this embodiment, the growth trend refers to the growth situation of the oil tea plant, such as whether the branches and leaves are lush or not.

[0095] In this embodiment, the comprehensive qualification coefficient is obtained based on the qualification coefficients of different unit blocks.

[0096] The beneficial effects of the above technical solution are as follows: By obtaining the current growth stage of the oil tea in the unit block and through the 360° comprehensive shooting, the growth situation of the oil tea in the unit block can be effectively obtained, providing a basis for obtaining the comprehensive qualification coefficient.

[0097] The present invention provides an integrated intelligent fertilization method for oil tea, which analyzes the photographed images at each angle to obtain the comprehensive qualification coefficient of the oil tea in the corresponding unit block, including:

[0098] Perform bounding box selection on the oil-tea camellia plants based on the captured images at each angle, set numbers for the bounding boxes of each plant, and construct a boundary set with the same number. Among them, each bounding box in the boundary set is regarded as the first boundary;

[0099] Project each first boundary in the same boundary set into a preset coordinate system for drawing, and determine the occurrence times of each position point;

[0100] Based on the angular relationship between the shooting plane of the device at each shooting angle and the reference plane of the captured oil-tea camellia, and combined with the shooting focus point, determine the highlighting coefficient of the bounding box of each plant at the corresponding shooting angle;

[0101] According to the highlighting coefficient corresponding to each first boundary in the boundary set and the occurrence times of each position point in the first boundary, screen out the valid points and reconstruct the final boundary of the corresponding plant;

[0102] Select the first image with the maximum coefficient from all the highlighting coefficients in the boundary set of the corresponding plant, and crop the first image according to the first boundary with the maximum highlighting coefficient to obtain a cropped image;

[0103] Perform grayscale processing on the cropped image to obtain the growth trend of the corresponding plant, and determine the growth coefficient and the pest and disease coefficient of the corresponding plant;

[0104] According to the boundary length, growth coefficient, and pest and disease coefficient of the final boundary of the corresponding plant, obtain the growth qualification coefficient of the corresponding plant;

[0105] Based on the growth qualification coefficients of all the plants in the corresponding unit block, obtain the comprehensive qualification coefficient of the oil-tea camellia under the corresponding unit block.

[0106] In this embodiment, the boundary of the plant is realized based on the object detection algorithm in image processing.

[0107] In this embodiment, since there is more than one plant in each unit block, after numbering the same plant, the corresponding boundary set can be obtained. Among them, the boundary set = {the first boundaries of the plants with the corresponding numbers at different angles}.

[0108] In this embodiment, during the shooting process at 1°, due to shooting errors and different shooting angles, there may be some differences in the boundaries of the same plant obtained. Therefore, by projecting the first boundary into a preset coordinate system, that is, projecting 360 times, where the preset coordinate system is pre-set and includes the position coordinates of different boundaries, the position error caused by shooting can be effectively reduced.

[0109] In this embodiment, the shooting plane of the device refers to the horizontal plane of the shooting camera, and the shooting focus point refers to the focus point of the picture.

[0110] In this embodiment, where S0 represents the area of the focused picture based on the shooting focus point; Sp represents the area of the corresponding captured image; θ represents the shooting angle based on the angular relationship, with a value ranging from 0 to 90°.

[0111] In this embodiment, the number of occurrences of each point is determined based on the projection result of the preset coordinate system. If the number of occurrences is greater than or equal to 360 / 2, at this time, the corresponding point is regarded as a valid point and retained;

[0112] If the number of occurrences is less than 360 / 2, the points involved in the first boundary with a highlighting coefficient greater than or equal to the preset coefficient are retained;

[0113] All the retained points are regarded as valid points to draw the final boundary.

[0114] In this embodiment, cropping refers to cropping the corresponding first image according to the corresponding boundary.

[0115] In this embodiment, gray-scale processing is to convert the cropped image into a grayscale image.

[0116] In this embodiment, if the growth trend is not as good as the standard trend, at this time, the growth coefficient = sim(growth trend, standard trend); if the growth trend is better than the standard trend, at this time, the growth coefficient = 1.

[0117] In this embodiment, the pest and disease coefficient = the pest and disease coverage area determined by the corresponding grayscale image / the area of the cropped image.

[0118] In this embodiment, where Sh is the growth qualification coefficient, bc is the boundary length, b0 is the standard length under the corresponding standard trend; bs is the pest and disease coverage area determined by the corresponding grayscale image; B0 is the area of the corresponding cropped image.

[0119] In this embodiment,

[0120] where Zh is the corresponding comprehensive qualification coefficient; N1 represents the number of plants involved in the corresponding unit block; Sh j1 represents the growth qualification coefficient of the j1th plant; represents all Sh j1 of the variance; u0 represents the variance threshold, with a value of 0.1; (Sh j1 ) min represents all Sh j1 in the minimum value; (Sh j1 ) maxRepresents all Sh j1 The maximum value among them.

[0121] The beneficial effects of the above technical solution are as follows: By counting the first boundary of the same plant and combining the projection results based on the coordinate system to determine the occurrence times, and then determining the highlighting coefficient based on shooting to determine the effective points for reconstruction, and further obtaining the correlation coefficient by performing gray-scale processing on the image, which ensures the reliability of the subsequent determination of the comprehensive qualification coefficient.

[0122] The present invention provides an intelligent fertilization method for integrated oil tea water and fertilizer. Before obtaining the environmental data collected by the sensor group set in each unit block, it includes:

[0123] Sort the elevations of each position point in the unit block from small to large, and divide the sorting result with a preset height threshold to obtain the first quantity of the position points existing in each divided line segment, and judge whether there is an elevation with the most frequent occurrence under the corresponding divided line segment;

[0124] If it exists, use the elevation with the most frequent occurrence as a cluster;

[0125] If it does not exist, use the average value of all elevations involved under the corresponding divided line segment as a cluster;

[0126] Judge whether the absolute value of the difference between the elevations of adjacent clusters after sorting is less than the preset height threshold;

[0127] If so, obtain the average value of the elevations of adjacent clusters as a new cluster and retain it;

[0128] Otherwise, retain the original clusters;

[0129] Based on all the retained clusters, cluster all the elevations and position points of the corresponding unit block, and set a sensor group for each continuous surface formed by the clustering results.

[0130] In this embodiment, the clustering can be the K-means clustering algorithm, which is a prior art.

[0131] In this embodiment, the preset height threshold is 1m.

[0132] In this embodiment, the divided line segment refers to dividing the elevation results sorted by size according to the preset height threshold, and each sorted segment of the elevation sorting results involved under each division result is regarded as a divided line segment.

[0133] In this embodiment, if there are 3 continuous surfaces in the unit block, then a sensor group is set at the center position of each continuous surface.

[0134] The beneficial effects of the above technical solution are as follows: By sorting the elevations from small to large and taking the elevation with the most frequent occurrences obtained in combination with a preset height threshold as a cluster, the rationality of clustering is ensured through further judgment and analysis of the cluster.

[0135] The present invention provides an intelligent fertilization method for integrated water and fertilizer in oil tea, which divides the rainwater flow direction of the elevation surface of the area and sets a rainwater convergence coefficient for each unit block respectively, including:

[0136] Input the elevation surface of the area into the flow direction analysis model to obtain several rainwater basins;

[0137] Determine the number of irrigation sources converging to the same unit block, and at the same time, determine the source priority of each irrigation source;

[0138] According to the high and low trend of each rainwater basin, the distance between the starting point of the corresponding rainwater basin and the corresponding irrigation source, the source priority, the unit blocks passed by the corresponding rainwater basin, and in combination with the number of irrigation sources of the corresponding unit block, set a rainwater convergence coefficient for each unit block involved in the corresponding rainwater basin.

[0139] In this embodiment, the flow direction analysis model is trained on a neural network model with the elevation surfaces of different regions and the pre-planned flow directions for the elevation surfaces as samples. Therefore, the rainwater basins for the elevation surface of the area can be directly obtained. The rainwater basin refers to the rainwater flow direction based on the oil tea fields, etc.

[0140] In this embodiment, according to several rainwater flow directions, a flow direction map for the oil tea fertilization area can be formed, and this flow direction map can show the width of each rainwater basin, the water source location, and the irrigation sources connected to each unit block.

[0141] In this embodiment, the source priority is preset and can be directly determined based on the flow direction map. Generally, the wider the basin and the larger the amount of rainwater that can be stored, the higher the corresponding priority.

[0142] In this embodiment, the value of the priority = (the amount of rainwater that can be stored corresponding to it / the maximum amount of rainwater stored in all sources involved) × (the width of the corresponding basin / the maximum width involved in all sources).

[0143] In this embodiment, where M represents the number of irrigation sources involved in the corresponding unit block; Y i represents the value of the priority of the rainwater basin under the i-th irrigation source; G i represents the irrigation coefficient of the rainwater basin under the i-th irrigation source; L i represents the distance between the i-th irrigation source and the center point of the corresponding unit block; L0 represents the maximum distance among all rainwater basins;

[0144] It should be noted that the value range of the irrigation coefficient is from 0 to 1.

[0145] The beneficial effects of the above technical solution are as follows: By analyzing the regional elevation surface based on the model, the rainwater basin can be obtained. Furthermore, through the number, priority, etc. of the irrigation sources, the rainwater convergence coefficient based on each unit block can be obtained.

[0146] The present invention provides an intelligent fertilization method for integrated oil tea water and fertilizer. Combining with weather forecast information, a fertilization interval T is set between the current moment and the end moment of the cycle corresponding to the current growth stage, including:

[0147] Perform a preset dimension split on the weather forecast information and construct a weather matrix;

[0148] Input the weather matrix into a matrix analysis model to obtain the drought state of the oil tea fertilization area at the end moment of the cycle;

[0149] Determine the time length between the current moment and the end moment of the cycle corresponding to the current growth stage;

[0150] Determine the initial cycle matching the drought state from the state-length-cycle comparison table;

[0151] If the weather forecast information has nothing to do with rainfall, at this time, regard the initial cycle as the set fertilization interval T;

[0152] If the weather forecast information is related to rainfall, at this time, determine the balance relationship based on the total rainfall and evaporation obtained from the weather forecast information;

[0153] Adjust the initial cycle based on the rainwater convergence coefficient and balance relationship corresponding to the unit block to obtain the set fertilization interval T.

[0154] In this embodiment, And the dimensions involve temperature dimension, humidity dimension, precipitation dimension, wind speed dimension, etc., and each column represents the weather information of 1 day and is continuous.

[0155] In this embodiment, the matrix analysis model is trained for a neural network model based on the weather combinations under the dimensions and the drying conditions under these weather combinations as samples.

[0156] In this embodiment, the drought state refers to the drying condition of the corresponding oil tea fertilization area.

[0157] In this embodiment, the state-length-cycle comparison table contains the fertilization cycles based on the time length under different drought states, that is, the initial cycles.

[0158] In this embodiment, the balance relationship refers to the relationship between the total rainfall and the evaporation situation. If the total rainfall is greater than or equal to the evaporation amount, at this time, it is determined that the subsequent relationship is the humidity relationship.

[0159] If the total rainfall is less than the evaporation amount, it is determined that the subsequent relationship is the drought relationship.

[0160] In this embodiment,

[0161] where Tc is the initial period; ln is the symbol of the logarithmic function; Ysh is the rainwater convergence coefficient of the corresponding unit block; σ 2 is the variance of all rainwater convergence coefficients.

[0162] In this embodiment, by adjusting the fertilization period, it is possible to effectively avoid the low yield of oil tea caused by overly dry soil, the damage of fertilizers to oil tea plants, etc. Because, the comprehensive factors of high temperature, drought and lack of fertilizer will lead to low tea yield, low oil yield and poor flower bud development.

[0163] The beneficial effect of the above technical solution is: the initial period is obtained by matrix analysis of the weather forecast information, and then the balance relationship is determined by judging whether the weather forecast information is related to rainfall, and then the set fertilization isolation is obtained, which provides convenience for subsequent fertilization.

[0164] The present invention provides an integrated intelligent fertilization system for oil tea and water, as Figure 2 shown, including:

[0165] An elevation surface construction module, which is used to divide the oil tea fertilization area into units, determine the soil elevation of each unit block to construct the block surface of the unit block, and obtain the regional elevation surface of the oil tea fertilization area;

[0166] A data acquisition module, which is used to obtain the current growth stage and comprehensive qualification coefficient of the oil tea in each unit block, and at the same time, obtain the environmental data collected by the sensor group set in each unit block;

[0167] A scheme determination module, which is used to determine the fertilization scheme of the corresponding unit block according to the environmental data captured by the sensor group, the estimated growth standard of the oil tea in the current growth stage, and the comprehensive qualification coefficient;

[0168] An interval setting module, which is used to divide the rainwater flow direction of the regional elevation surface, set the rainwater convergence coefficient for each unit block respectively, and set the fertilization interval T between the current moment and the end moment of the period corresponding to the current growth stage in combination with the weather forecast information;

[0169] The fertilization treatment module is used to continue to update the fertilization plan every time the set fertilization interval T is reached, and then control the opening of two solenoid valves set in the corresponding unit block and perform fertilization treatment every time the fertilization plan is obtained.

[0170] The beneficial effects of the above technical solution are as follows: by constructing the elevation surface of the fertilization area, combining the environmental data collected from the unit block and the growth situation of the oil tea, the fertilization plan can be effectively determined, and then by combining with the weather forecast information and the rainwater convergence coefficient, a reasonable fertilization interval can be set to effectively ensure the fertilization efficiency.

[0171] The present invention provides a device, including a storage medium, which is used to execute the above-mentioned intelligent fertilization method for integrated water and fertilizer of oil tea.

[0172] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention also intends to include these changes and modifications.

Claims

1. An intelligent fertilization method for tea oil with integrated water and fertilizer, characterized in that: include: Step 1: Divide the oil-tea fertilization area into units, and determine the soil elevation of each unit block to construct a block surface of the unit block, and obtain a regional elevation surface of the oil-tea fertilization area; Step 2: Obtain the current growth stage and comprehensive qualified coefficient of the oil-tea tree of each unit block, and at the same time, obtain the environmental data collected by the sensor group set in each unit block; Step 3: Determine a fertilization plan for a corresponding unit block according to the environmental data captured by the sensor group, the estimated growth standard of the oil-tea tree at the current growth stage, and the comprehensive qualification coefficient; Step 4: dividing the regional elevation surface into rainwater flow directions, and setting rainwater convergence coefficients for each unit block respectively, and setting a fertilization interval T between the current time and the end time of the cycle corresponding to the current growth stage in combination with weather forecast information; Step 5: When the set fertilization interval T is reached each time, the fertilization plan is continuously updated, and then after each fertilization plan is obtained, the two solenoid valves set in the corresponding unit block are controlled to open and fertilization is performed.

2. The water-fertilizer integrated intelligent fertilization method for oil-tea according to claim 1, characterized in that: Determine the soil elevation of each unit block to construct a block surface of the unit block, including: Based on the position sensor, each position point in each unit block is measured in turn to obtain the soil elevation of each position point; The soil elevation is added to the corresponding position point to obtain the block surface of the unit block.

3. The water-fertilizer integrated intelligent fertilization method for oil-tea according to claim 1 is characterized in that: Get the current growth stage of the camellia oleifera in each unit block and the comprehensive qualification coefficient, including: According to the initial growth time of the oil-tea tea in each unit block, the current growth stage of the oil-tea tea in each unit block is obtained from the time-oil-tea variety-full cycle comparison table; At the same time, all-round images of the unit block are taken at 1°, and the images taken at each angle are analyzed to obtain the growth status of the oil tea in the corresponding unit block, and then the comprehensive qualified coefficient is obtained.

4. The water-fertilizer integrated intelligent fertilization method for oil-tea according to claim 3 is characterized in that: Analyze the images taken at each angle to obtain the comprehensive qualified coefficient of the oil-tea tree in the corresponding unit block, including: Based on the images taken at each angle, the Camellia oleifera plants are framed, and the framed boundaries of each plant are numbered and set, and a boundary set with the same number is constructed, wherein each framed boundary in the boundary set is regarded as a first boundary; Projecting each first boundary in the same boundary set into a preset coordinate system for drawing, and determining the number of occurrences of each position point; Based on the angular relationship between the device shooting surface at each shooting angle and the reference control surface of the photographed oil-tea tree, and combined with the shooting focus point, determine the highlight coefficient of the frame selection boundary of each plant at the corresponding shooting angle; According to the prominence coefficient corresponding to each first boundary in the boundary set and the number of occurrences of each position point in the first boundary, effective points are selected to reconstruct the final boundary of the corresponding plant; Selecting a first image with a maximum coefficient from all the highlight coefficients in the boundary set corresponding to the plant, and cropping the first image according to the first boundary with the maximum highlight coefficient to obtain a cropped image; Performing grayscale processing on the cropped image to obtain the growth status of the corresponding plant, and determining the growth coefficient and pest and disease coefficient of the corresponding plant; According to the boundary length, growth coefficient and pest and disease coefficient of the final boundary of the corresponding plant, the growth qualification coefficient of the corresponding plant is obtained; Based on the qualified growth coefficients of all plants in the corresponding unit block, the comprehensive qualified coefficient of Camellia oleifera in the corresponding unit block is obtained.

5. The water-fertilizer integrated intelligent fertilization method for oil-tea according to claim 1, characterized in that: Before obtaining the environmental data collected by the sensor group set in each unit block, it includes: Sorting the elevation of each position point in the unit block from small to large, and dividing the sorting result by a preset height threshold, obtaining a first number of position points in each divided line segment, and determining whether there is an elevation with the highest frequency of occurrence under the corresponding divided line segment; If it exists, the elevation with the highest frequency will be regarded as a cluster; If it does not exist, the average value of all elevations involved under the corresponding dividing line segment is taken as a cluster; Determine whether the absolute value of the difference in elevation between the sorted adjacent clusters is less than a preset height threshold; If so, obtain the average of the elevations of the adjacent clusters as a new cluster and retain it; Otherwise, the original cluster is retained; All elevation and location points of the corresponding unit blocks are clustered based on all retained clusters, and a sensor group is set for the continuous surface composed of each clustering result.

6. The water-fertilizer integrated intelligent fertilization method for oil-tea according to claim 1, characterized in that: The regional elevation surface is divided into rainwater flow directions, and rainwater convergence coefficients are set for each unit block, including: Inputting the regional elevation surface into a flow direction analysis model to obtain a number of rainwater basins; Determine the number of irrigation sources that converge into the same unit block, and at the same time, determine the source priority of each irrigation source; According to the ups and downs trend of each rainwater basin, the distance between the starting point of the corresponding rainwater basin and the corresponding irrigation source, the source priority, the unit blocks of the corresponding rainwater basin, and the number of irrigation sources of the corresponding unit block, a rainwater convergence coefficient is set for each unit block involved in the corresponding rainwater basin.

7. The water-fertilizer integrated intelligent fertilization method for oil-tea according to claim 1, characterized in that: Combined with weather forecast information, a fertilization interval T is set between the current time and the end time of the cycle corresponding to the current growth stage, including: The weather forecast information is split into preset dimensions and a weather matrix is ​​constructed; Inputting the weather matrix into a matrix analysis model to obtain the drought state of the oil-tea fertilization area at the end of the cycle; Determine the time length between the current moment and the end moment of the cycle corresponding to the current growth stage; Determine an initial period matching the drought state from a state-length-period comparison table; If the weather forecast information is not related to rainfall, then the initial period is regarded as the set fertilization interval T; If the weather forecast information is related to rainfall, then the balance relationship is determined based on the total rainfall and evaporation conditions obtained from the weather forecast information; The initial period is adjusted based on the rainwater convergence coefficient and the balance relationship of the corresponding unit block to obtain the set fertilization isolation T.

8. The water-fertilizer integrated intelligent fertilization method for oil-tea according to claim 1, characterized in that: The two solenoid valves include: a fertilization solenoid valve and a watering solenoid valve.

9. An integrated water-fertilizer intelligent fertilization system for oil tea, characterized in that: include: An elevation surface construction module is used to divide the oil-tea fertilization area into units, determine the soil elevation of each unit block to construct the block surface of the unit block, and obtain the regional elevation surface of the oil-tea fertilization area; The data acquisition module is used to obtain the current growth stage and comprehensive qualified coefficient of the oil-tea tree of each unit block, and at the same time, obtain the environmental data collected by the sensor group set in each unit block; A scheme determination module is used to determine a fertilization scheme for a corresponding unit block according to the environmental data captured by the sensor group, the estimated growth standard of the oil tea at the current growth stage, and the comprehensive qualification coefficient; An interval setting module, used to divide the regional elevation surface into rainwater flow directions, and set a rainwater convergence coefficient for each unit block respectively, and set a fertilization interval T between the current time and the end time of the cycle corresponding to the current growth stage in combination with weather forecast information; The fertilization processing module is used to continue updating the fertilization plan when the set fertilization interval T is reached, and then control the two solenoid valves set in the corresponding unit block to open and perform fertilization processing after each fertilization plan is obtained.

10. A device comprising a storage medium, characterized in that Used to implement the integrated water-fertilizer intelligent fertilization method for tea oil as described in any one of claims 1-8.

Images