Intelligent growth monitoring system for plant seedling raising

Abstract

The invention relates to an intelligent growth monitoring system for plant seedling raising, in particular to the technical field of information processing, and the system comprises an information acquisition module which is used for acquiring plant growth environment information and soil information; the environment analysis module is used for analyzing the abnormality of the plant growth environment; the soil analysis module is used for analyzing the abnormality of the plant growth soil conditions; the growth management module is used for managing the fertilizing amount and the watering amount of the plants in the next management period; the management optimization module is used for optimizing the fertilization amount and watering amount management process of the plants in the next monitoring period; the updating module is used for updating the abnormality analysis process of the plant growth environment and adjusting the updating process of the abnormality analysis process of the plant growth environment according to the analysis result of the environmental abnormality in the growth cycle and the planting density; the plant growth monitoring efficiency and the plant yield are improved.

Description

Technical Field

[0001] The present invention relates to the field of information processing technology, and in particular to an intelligent growth monitoring system for plant seedling cultivation. Background Art

[0002] In recent years, with the development of the Internet of Things and intelligent technology, intelligent plant seedling growth monitoring systems have emerged. Through sensors, data acquisition equipment and Internet technology, real-time monitoring and remote management of plant growth environment and growth status have been realized, greatly improving the management efficiency and accuracy of seedling cultivation.

[0003] Chinese Patent Publication No.: CN110197308B discloses a crop monitoring system and method for agricultural Internet of Things. The crop monitoring system includes: a crop growth information acquisition unit, which is used to obtain the planting information of the planted crops corresponding to the preset planting area of ​​the agricultural Internet of Things, and obtain the actual yield of the planted crops corresponding to the preset planting area of ​​the agricultural Internet of Things; a prediction model training unit, which is used to use the planting information and actual yield of the planted crops corresponding to the preset planting area of ​​the agricultural Internet of Things as training samples to train the predetermined yield prediction model; a monitoring unit, which is used to obtain the predicted yield of the crop to be predicted according to the planting information of the crop to be predicted and the trained yield prediction model, as the monitoring result of the crop to be predicted. The crop monitoring system and method for agricultural Internet of Things of the present invention can accurately predict crop yield, monitor crop growth, and overcome the shortcomings of the prior art; it can be seen that when monitoring the growth of crops, the scheme only analyzes the sowing information of crops, and there are problems of low efficiency in monitoring the growth of crops and low crop yield. Summary of the invention

[0004] To this end, the present invention provides an intelligent growth monitoring system for plant seedling cultivation, so as to overcome the problems of low growth monitoring efficiency and low crop yield in the prior art.

[0005] To achieve the above object, the present invention provides an intelligent growth monitoring system for plant seedling cultivation, the system comprising:

[0006] An information acquisition module is used to obtain plant growth environment information and soil information;

[0007] The environmental analysis module is used to analyze the abnormality of the plant growth environment based on the greenhouse ambient temperature, ambient humidity and light duration obtained during the monitoring period;

[0008] Soil analysis module, used to analyze the abnormality of soil conditions for plant growth based on soil information obtained during the management cycle;

[0009] A growth management module is used to manage the amount of fertilizer applied to plants in the next management cycle based on the analysis results of environmental abnormalities and soil condition abnormalities within the management cycle and the plant growth height, and is also used to manage the amount of watering for plants in the next management cycle based on the analysis results of soil condition abnormalities within the management cycle and the analysis results of the amount of fertilizer applied in the next management cycle;

[0010] A management optimization module is used to optimize the management process of fertilization and watering of plants in the next monitoring period according to the average isoprene concentration and altitude obtained during the management period;

[0011] The updating module is used to update the abnormality analysis process of the plant growth environment according to the growth height of the plant in the current growth cycle, and adjust the updating process of the abnormality analysis process of the plant growth environment according to the analysis results of the environmental abnormality within the growth cycle and the planting density.

[0012] Furthermore, the environmental analysis module is provided with an environmental analysis unit, which is used to compare the acquired ambient temperature t0 with each preset temperature, and analyze the abnormality of the ambient temperature according to the comparison result, wherein:

[0013] When t0≤t1 or t0≥t2, the environment analysis unit determines that the environment temperature is abnormal;

[0014] When t1<t0<t2, the environment analysis unit determines that the environment temperature is normal;

[0015] The environmental analysis unit is used to compare the acquired environmental humidity s0 with each preset humidity, and analyze the abnormality of the environmental humidity according to the comparison result, wherein:

[0016] When s0≤s1 or s0≥s1, the environmental analysis unit determines that the environmental humidity is abnormal;

[0017] When s1<s0<s2, the environmental analysis unit determines that the environmental humidity is normal;

[0018] The environmental analysis unit is used to compare the illumination duration z0 obtained during the monitoring period with the preset illumination duration z1, and analyze the abnormality of the illumination duration according to the comparison result, wherein:

[0019] When z0≤z1, the environmental analysis unit determines that the illumination duration of the current monitoring period is abnormal;

[0020] When z0>z1, the environmental analysis unit determines that the illumination duration of the current monitoring period is normal;

[0021] Among them, t1 is the preset minimum temperature, t2 is the preset maximum temperature; s1 is the preset minimum humidity, and s2 is the preset maximum humidity.

[0022] Furthermore, the environmental analysis module is provided with an abnormality analysis unit, which is used to analyze the abnormality of the plant growth environment according to the analysis results of the abnormality of the ambient temperature and the abnormality of the ambient humidity within the monitoring period and the light duration, wherein:

[0023] When i 1 / i0×w1+i2 / i0×w2+(z1-z0) / i0×w3≤α, the abnormality analysis unit determines that the plant growth environment in the current monitoring period is normal;

[0024] When i 1 / i0×w1+i2 / i0×w2+(z1-z0) / i0×w3>α, the abnormality analysis unit determines that the plant growth environment in the current monitoring period is abnormal;

[0025] Among them, i1 is the duration of abnormal ambient temperature during the monitoring period, i0 is the duration of the monitoring period, i2 is the duration of abnormal ambient humidity during the monitoring period; α is the preset abnormality coefficient; w1 is the temperature weight, w2 is the humidity weight, w3 is the light weight, w1+w2+w3=1.

[0026] Furthermore, the soil analysis module is provided with a salinization analysis unit, which is used to compare the average soil conductivity d0 obtained during the management period with the preset conductivity d1, and analyze the abnormality of soil salinization according to the comparison result, wherein:

[0027] When d0≤d1, the salinization analysis unit determines that the salinization of the soil in the current management period is normal;

[0028] When d0>d1, the salinization analysis unit determines that the salinization of the soil in the current management period is abnormal;

[0029] The soil analysis module is provided with a soil moisture analysis unit, which is used to compare the average soil moisture a0 obtained during the management period with each preset soil moisture, and analyze the abnormality of the soil moisture according to the comparison result, wherein:

[0030] When a0≤a1, the soil moisture analysis unit determines that the soil moisture in the current management period is low;

[0031] When a1<a0<a2, the soil moisture analysis unit determines that the soil moisture in the current management period is normal;

[0032] When a0≥a2, the soil moisture analysis unit determines that the soil moisture is high;

[0033] Among them, a1 is the preset minimum soil moisture, and a2 is the preset maximum soil moisture.

[0034] Furthermore, the growth management module is provided with a first management unit, which is used to manage the amount of fertilizer applied to plants in the next management cycle according to the analysis results of the environmental abnormality and soil salinization abnormality in the management cycle and the plant growth height k0, wherein:

[0035] When k0≤k1, the first management unit determines that the plant growth height in the current management cycle is abnormal. If q1 / q0≤β and soil salinization is normal, the first management unit sets the fertilizer amount of the plant in the next management cycle to R1, setting R1=R0×{1+0.56×I n[1+(k1-k0) / (k1+k0)] / I n2}; if q1 / q0≤β and soil salinization is abnormal, the first management unit sets the fertilizer amount of the plant in the next management cycle to R2, setting R2=R0×[1+0.56×I n[1+(k1-k0) / (k1+k0)] / I n2-0.45×sin(d0-d1)×(π / 2) / (d0+d1)]; if q1 / q0>β and soil salinization is normal, the first management unit sets the fertilizer amount of the plant in the next management cycle to R3, setting R4=R0×[1+0.56×I n[1+(k1-k0) / (k1+k0)] / I n2-0.45×sin(d0-d1)×(π / 2) / (d0+d1)]; n[1+(k1-k0) / (k1+k0)] / I n2-0.45×sin(d0-d1)×(π / 2) / (d0+d1)+0.25×(q1 / q0-β) / (q1 / q0+β)]; if q1 / q0>β and the soil salinization is abnormal, the first management unit sets the fertilizer amount of the plant in the next management cycle to R4, setting R4=R0×[1+0.56×I n[1+(k1-k0) / (k1+k0)] / I n2-0.45×sin(d0-d1)×(π / 2) / (d0+d1)+0.25×(q1 / q0-β) / (q1 / q0+β)];

[0036] When k0>k1, the first management unit determines that the plant growth height in the current management cycle is normal. If q1 / q0≤β and soil salinization is normal, the first management unit sets the fertilizer amount for the plants in the next management cycle to R5, setting R5=R0; if q1 / q0≤β and soil salinization is abnormal, the first management unit sets the fertilizer amount for the plants in the next management cycle to R6, setting R6=R0×[1-0.45×sin(d0-d1)×(π / 2) / (d0+d1)]; if q1 / q0>β and soil salinization is normal, the first management unit sets the fertilizer amount for the plants in the next management cycle to R6, setting R6=R0×[1-0.45×sin(d0-d1)×(π / 2) / (d0+d1)]; The fertilizer amount of the plants in the next management cycle is set to R7, and R7=R0×[1-0.45×sin(d0-d1)×(π / 2) / (d0+d1)+0.25×(q1 / q0-β) / (q1 / q0+β)]; if q1 / q0>β and the soil salinization is abnormal, the first management unit sets the fertilizer amount of the plants in the next management cycle to R8, and sets R8=R0×[1-0.45×sin(d0-d1)×(π / 2) / (d0+d1)+0.25×(q1 / q0-β) / (q1 / q0+β)];

[0037] The first management unit outputs the analysis result of the fertilizer application amount to the user;

[0038] Among them, R0 is the preset fertilizer amount; k1 is the preset growth height; q1 is the number of abnormal plant growth environment monitoring cycles within the management cycle, and q0 is the number of monitoring cycles within the management cycle.

[0039] Furthermore, the growth management module is further provided with a second management unit, which is used to manage the watering amount of the plants in the next management cycle according to the analysis result of the abnormality of soil moisture in the management cycle and the analysis result Rr of the fertilization amount in the next management cycle, wherein:

[0040] When the soil humidity is low, if Rr≤R0, the second management unit sets the watering amount of the plants in the next management cycle to J1, setting J1=J0×{1+{[(a1-a0) / a1+1] (a1-a0) / a1+1 -1} / 9}; if Rr>R0, the second management unit sets the watering amount of the plant in the next management cycle to J2, setting J2=J0×{1+{[(a1-a0) / a1+1] (a1-a0) / a1+1 -1} / 9+0.36×(Rr-R0) / (Rr+R0)};

[0041] When the soil moisture is normal, if Rr≤R0, the second management unit sets the watering amount of the plants in the next management cycle to J3, and sets J3=J0; if Rr>R0, the second management unit sets the watering amount of the plants in the next management cycle to J4, and sets J4=J0×[1+0.36×(Rr-R0) / (Rr+R0)];

[0042] When the soil humidity is high, if Rr≤R0, the second management unit sets the watering amount of the plants in the next management cycle to J5, setting J5=J0×{1-{[(a0-a2) / a1+1] (a0-a2) / a2+1 -1} / 6}; if Rr>R0, the second management unit sets the watering amount of the plant in the next management cycle to J6, setting J6=J0×{1-{[(a0-a2) / a1+1] (a0-a2) / a2+1 -1} / 6+0.36×(Rr-R0) / (Rr+R0)};

[0043] The second management unit outputs the analysis result of the watering amount in the next management cycle to the user;

[0044] Among them, J0 is the preset watering amount.

[0045] Furthermore, the management optimization module is provided with a first optimization unit, which compares the acquired altitude h0 with the preset altitude h1, and optimizes the management process of the plant fertilization amount according to the comparison result, wherein:

[0046] When h0≤h1, the first optimization unit determines that the altitude is normal and does not perform optimization;

[0047] When h0>h1, the first optimization unit determines that the altitude is abnormal, and optimizes the management process of the plant fertilizer amount, and sets the optimized preset altitude as k1', setting k1'=k1×[1-0.45×e 3(h0-h1) / (h0+h1)-3 ].

[0048] Furthermore, the management optimization module is provided with a second optimization unit, which is used to compare the average isoprene concentration y0 obtained within the management period with the preset concentration y1, and perform secondary optimization on the management process of the plant fertilization amount according to the comparison result, wherein:

[0049] When y0≤y1, the second optimization unit determines that the concentration of isoprene volatilized by plants in the current management period is normal and does not perform optimization;

[0050] When y0>y1, the second optimization unit determines that the concentration of isoprene volatilized by plants in the current management period is abnormal, and performs secondary optimization on the management process of plant fertilization, and sets the optimized preset altitude to h1', setting h1'=k1×[1-(y0-y1) / (y0+y1)].

[0051] Furthermore, the update module is provided with an update unit, which is used to compare the growth height p0 of the plant in the current growth cycle with the preset height p1, and update the analysis process of the abnormality of the plant growth environment in the next growth cycle according to the comparison result, wherein:

[0052] When p0≤p1, the updating unit determines that the growth height of the plant in the current growth cycle is abnormal, and updates the analysis process of the abnormality of the plant growth environment in the next growth cycle, and sets the updated preset abnormality coefficient to α', setting α'=α×{1-0.3×arctan[(p1-p0) / (p1+p0)×(π / 4)]};

[0053] When p0>p1, the updating unit determines that the growth height of the plant in the current growth period is normal and does not perform updating.

[0054] Furthermore, the update module is provided with a first adjustment unit, which is used to compare the planting density g1 of the plant with the preset density g0, and adjust the update process of the analysis process of the abnormality of the plant growth environment in the next growth cycle according to the comparison result, wherein:

[0055] When g1≤g0, the first adjustment unit determines that the planting density of the plants is normal and does not make any adjustment;

[0056] When g1>g0, the first adjustment unit determines that the planting density of the plant is abnormal, and adjusts the updating process of the analysis process of the abnormality of the plant growth environment in the next growth cycle, and sets the adjusted preset height to p1', setting p1'=p1×[1-(g1-g0) / (g1+g0)];

[0057] The updating module is further provided with a second adjusting unit, which performs secondary adjustment on the updating process of the analysis process of the abnormality of the plant growth environment in the next growth cycle according to the analysis result of the abnormality of the plant growth environment in the growth cycle, wherein:

[0058] When c1 / c0≤γ, the second adjustment unit determines that the growth environment of the plant in the current growth period is normal and does not make any adjustment;

[0059] When c1 / c0>γ, the second adjustment unit determines that the growth environment of the plant in the current growth cycle is abnormal, and performs a secondary adjustment on the updating process of the analysis process of the abnormality of the plant growth environment in the next growth cycle, and sets the adjusted preset density to g1', setting g1'=g1×[1-0.2×(c1 / c0-γ) / (c1 / c0+γ)];

[0060] Wherein, c1 is the number of monitoring cycles of abnormal plant growth environment within the growth cycle, c0 is the number of monitoring cycles within the growth cycle, and γ is the preset growth abnormality coefficient.

[0061] Compared with the prior art, the beneficial effect of the present invention is that the environmental analysis unit improves the accuracy of abnormal analysis of plant growth environment by setting preset temperature, preset humidity and preset light duration, thereby improving the accuracy of analysis of plant fertilizer and watering amount, thereby improving the efficiency of plant growth monitoring and increasing plant yield; the abnormality analysis unit improves the accuracy of abnormal analysis of plant growth environment by setting preset abnormality coefficient, thereby improving the accuracy of analysis of plant fertilizer and watering amount, thereby improving the efficiency of plant growth monitoring and increasing plant yield; the salinization analysis unit improves the accuracy of soil salinization abnormality analysis by setting preset conductivity The accuracy of the analysis of the amount of fertilizer and watering for plants is improved, thereby improving the efficiency of plant growth monitoring and increasing the yield of plants; the soil moisture analysis unit improves the accuracy of the analysis of soil moisture anomalies by setting a preset soil moisture, thereby improving the accuracy of the analysis of the amount of fertilizer and watering for plants, thereby improving the efficiency of plant growth monitoring and increasing the yield of plants; the first management unit improves the accuracy of the analysis of the amount of fertilizer in the next management cycle by setting a preset growth height, thereby improving the efficiency of plant growth monitoring and increasing the yield of plants; the second management unit improves the accuracy of the analysis of the amount of watering in the next management cycle by setting a preset watering amount The first optimization unit improves the accuracy of the management process of the amount of fertilizer applied to plants by setting a preset altitude, thereby improving the efficiency of plant growth monitoring and increasing the yield of plants; when plants are affected by pests and diseases, they emit volatile chemicals, and the second optimization unit improves the accuracy of the management process of the amount of fertilizer applied to plants by setting a preset concentration, thereby improving the efficiency of plant growth monitoring and increasing the yield of plants; the update unit improves the accuracy of the abnormality analysis of the growth height of plants in the current growth cycle by setting a preset height, thereby improving the accuracy of the abnormality analysis of the growth height of plants in the current growth cycle, thereby improving the yield of plants; when plants are affected by pests and diseases, they emit volatile chemicals, and the second optimization unit improves the accuracy of the management process of the amount of fertilizer applied to plants by setting a preset concentration, thereby improving the efficiency of plant growth monitoring and increasing the yield of plants; the update unit improves the accuracy of the abnormality analysis of the growth height of plants in the current growth cycle by setting a preset height, thereby improving the yield of plants; The accuracy of the analysis process of soil salinization abnormalities in the next growth cycle is improved, thereby improving the efficiency of plant growth monitoring and increasing plant yield; the first adjustment unit sets a preset density to improve the accuracy of the update process analysis of the analysis process of plant growth environment abnormalities in the next growth cycle, so as to reduce the adverse effects of excessive planting density on plant growth, thereby improving the efficiency of plant growth monitoring and increasing plant yield; the second adjustment unit sets a preset growth abnormality coefficient to improve the accuracy of the update process analysis of the analysis process of plant growth environment abnormalities in the next growth cycle, thereby improving the efficiency of plant growth monitoring and increasing plant yield. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 This is a schematic diagram of the structure of the intelligent growth monitoring system for plant seedling cultivation in this embodiment;

[0063] Figure 2 This is a schematic diagram of the structure of the environment analysis module of this embodiment;

[0064] Figure 3 This is a schematic diagram of the structure of the soil analysis module of this embodiment;

[0065] Figure 4 This is a schematic diagram of the structure of the growth management module of this embodiment;

[0066] Figure 5 This is a schematic diagram of the structure of the management optimization module of this embodiment;

[0067] Figure 6 It is a schematic diagram of the structure of the update module in this embodiment. DETAILED DESCRIPTION

[0068] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0069] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0070] It should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected" and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0071] See also Figure 1 As shown, it is a structural schematic diagram of an intelligent growth monitoring system for plant seedling cultivation in this embodiment, and the system includes:

[0072] An information acquisition module, used to acquire plant growth environment information and soil information; the environment information includes greenhouse environment temperature, light duration, environment humidity, isoprene concentration and altitude; the soil information includes soil conductivity and soil moisture; the present embodiment does not specifically limit the acquisition method of plant growth environment information and soil information, and those skilled in the art can freely set it, as long as the acquisition requirements of plant growth environment information and soil information are met, wherein the environment temperature can be acquired by a temperature sensor, the environment humidity can be acquired by a humidity sensor, the light intensity can be acquired by a light sensor, the isoprene concentration can be acquired by a gas sensor, the altitude can be acquired by interaction, the soil conductivity can be acquired by a conductivity meter, and the soil moisture can be acquired by a hygrometer;

[0073] The environment analysis module is used to analyze the abnormality of the plant growth environment according to the greenhouse environment temperature, environment humidity and light duration obtained during the monitoring period. The environment analysis module is connected to the information acquisition module. In this embodiment, the setting of the monitoring period is not specifically limited, and those skilled in the art can freely set it as long as the setting requirements of the monitoring period are met. Among them, the monitoring period can be set to one day, two days, etc.;

[0074] A soil analysis module is used to analyze the abnormality of soil conditions for plant growth according to the soil information obtained during the management period. The soil analysis module is connected to the information acquisition module. In this embodiment, the setting of the management period is not specifically limited. Those skilled in the art can freely set it as long as the setting requirements of the management period are met. Among them, the setting of the management period should be greater than the setting of the monitoring period. The management period can be set to 7 days, 10 days, etc.

[0075] A growth management module is used to manage the amount of fertilizer applied to plants in the next management cycle according to the analysis results of environmental abnormalities and soil condition abnormalities within the management cycle and the plant growth height, and is also used to manage the amount of watering for plants in the next management cycle according to the analysis results of soil condition abnormalities within the management cycle and the analysis results of the amount of fertilizer applied in the next management cycle. The growth management module is connected to the environmental analysis module and the soil analysis module. The plant growth height in this embodiment is the average growth height of plants in the operating area, and the operating area is the circumscribed rectangle of the farmland. In this embodiment, there is no specific limitation on the method for obtaining the plant growth height, and technical personnel in this field can set it freely, as long as the requirements for obtaining the plant growth height are met. The plant growth height can be obtained through interaction or through an infrared sensor.

[0076] A management optimization module, used for optimizing the management process of fertilization and watering of plants in the next monitoring period according to the average isoprene concentration and altitude obtained in the management period, and the management optimization module is connected to the growth management module;

[0077] An update module is used to update the soil condition abnormality analysis process according to the growth height of the plant in the current growth cycle, and adjust the update process according to the analysis results of the environmental abnormalities within the growth cycle and the planting density. The growth cycle described in this embodiment is the elongation period of the plant, and the elongation period is the period of plant height growth. In this embodiment, the setting of the growth cycle is not specifically limited, and technical personnel in this field can set it freely, and it is only necessary to meet the setting requirements of the growth cycle. Among them, when the plant is safflower, the optimal setting of the growth cycle is 30 days. In this embodiment, there is no specific limitation on the method for obtaining the planting density, and technical personnel in this field can set it freely, and it is only necessary to meet the acquisition requirements of the planting density. Among them, the planting density can be obtained through interaction.

[0078] See also Figure 2 As shown, it is a schematic diagram of the structure of the environment analysis module of this embodiment, and the environment analysis module includes:

[0079] The environmental analysis unit is used to analyze the abnormality of the ambient temperature, the ambient humidity and the duration of light exposure according to the greenhouse ambient temperature, the ambient humidity and the duration of light exposure obtained during the monitoring period;

[0080] The abnormality analysis unit is used to analyze the abnormality of the plant growth environment according to the analysis results of the abnormality of the ambient temperature and the abnormality of the ambient humidity within the monitoring period and the light duration. The abnormality analysis unit is connected to the environmental analysis unit.

[0081] See also Figure 3 As shown, it is a schematic diagram of the structure of the soil analysis module of this embodiment, and the soil analysis module includes:

[0082] Salinization analysis unit, used to analyze the abnormality of soil salinization based on the average soil conductivity obtained during the management period;

[0083] The soil moisture analysis unit is used to analyze the abnormality of soil moisture according to the average soil moisture obtained during the management period, and the soil moisture analysis unit is connected to the salinization analysis unit.

[0084] See also Figure 4 As shown, it is a schematic diagram of the structure of the growth management module of this embodiment, and the growth management module includes:

[0085] The first management unit is used to manage the amount of fertilizer applied to plants in the next management cycle according to the analysis results of environmental abnormalities and soil salinization abnormalities within the management cycle and the plant growth height;

[0086] The second management unit is used to manage the watering amount of plants in the next management cycle according to the analysis results of soil moisture anomalies in the management cycle and the analysis results of fertilizer application amount in the next management cycle. The second management unit is connected to the first management unit.

[0087] See also Figure 5 As shown, it is a schematic diagram of the structure of the management optimization module of this embodiment, and the management optimization module includes:

[0088] The first optimization unit is used to optimize the management process of plant fertilizer application according to the acquired altitude;

[0089] The second optimization unit is used to perform secondary optimization on the management process of the amount of fertilizer applied to plants according to the average isoprene concentration obtained within the management period, and the second optimization unit is connected to the first optimization unit.

[0090] See also Figure 6 As shown, it is a schematic diagram of the structure of the update module of this embodiment, and the update module includes:

[0091] An updating unit, used to update the analysis process of abnormality of plant growth environment in the next growth cycle according to the growth height of the plant in the current growth cycle;

[0092] A first adjustment unit, used for adjusting the updating process of the analysis process of the abnormality of the plant growth environment in the next growth cycle according to the planting density of the plant, the first adjustment unit being connected to the updating unit;

[0093] The second adjustment unit is used to perform secondary adjustment on the updating process of the analysis process of the abnormality of the plant growth environment in the next growth period according to the analysis result of the abnormality of the plant growth environment in the growth period. The second adjustment unit is connected to the first adjustment unit.

[0094] Specifically, the intelligent growth monitoring system for plant seedling cultivation described in this embodiment is specifically used for growth monitoring of safflower during the elongation period in greenhouses in high-altitude areas. It analyzes the abnormalities of the plant growth environment and soil conditions, manages the amount of fertilizer and watering for the plants based on the analysis results, and updates the analysis process through the plant's growth height, thereby improving the efficiency of plant growth monitoring and plant yield.

[0095] Specifically, the environmental analysis module improves the accuracy of abnormal analysis of plant growth environment by setting preset temperature, preset humidity, and preset light duration, and improves the accuracy of abnormal analysis of plant growth environment by setting preset abnormal coefficient. The soil analysis module improves the accuracy of soil salinization abnormal analysis by setting preset conductivity, and improves the accuracy of soil moisture abnormal analysis by setting preset soil moisture. The growth management module improves the accuracy of fertilizer analysis in the next management cycle by setting preset growth height, and improves the accuracy of watering analysis in the next management cycle by setting preset watering amount, thereby improving the efficiency of plant growth monitoring. The plant yield is improved. The management optimization module improves the accuracy of the management process of plant fertilization by setting a preset altitude, and improves the accuracy of the management process of plant fertilization by setting a preset concentration. The update module improves the accuracy of the analysis of plant growth height abnormality in the current growth cycle by setting a preset height, and improves the accuracy of the update process analysis of the analysis process of plant growth environment abnormality in the next growth cycle by setting a preset density. The element improves the accuracy of the update process analysis of the analysis process of plant growth environment abnormality in the next growth cycle by setting a preset growth abnormality coefficient, thereby improving the efficiency of plant growth monitoring and increasing plant yield.

[0096] Specifically, the environmental analysis unit compares the acquired ambient temperature t0 with each preset temperature, and analyzes the abnormality of the ambient temperature according to the comparison result, wherein:

[0097] When t0≤t1 or t0≥t2, the environment analysis unit determines that the environment temperature is abnormal;

[0098] When t1<t0<t2, the environment analysis unit determines that the environment temperature is normal;

[0099] The environmental analysis unit compares the acquired environmental humidity s0 with each preset humidity, and analyzes the abnormality of the environmental humidity according to the comparison result, wherein:

[0100] When s0≤s1 or s0≥s1, the environmental analysis unit determines that the environmental humidity is abnormal;

[0101] When s1<s0<s2, the environmental analysis unit determines that the environmental humidity is normal;

[0102] The environmental analysis unit compares the illumination duration z0 obtained during the monitoring period with the preset illumination duration z1, and analyzes the abnormality of the illumination duration according to the comparison result, wherein:

[0103] When z0≤z1, the environmental analysis unit determines that the illumination duration of the current monitoring period is abnormal;

[0104] When z0>z1, the environmental analysis unit determines that the illumination duration of the current monitoring period is normal;

[0105] Among them, t1 is the preset minimum temperature, t2 is the preset maximum temperature; s1 is the preset minimum humidity, and s2 is the preset maximum humidity.

[0106] Specifically, the environmental analysis unit improves the accuracy of the abnormality analysis of the plant growth environment by setting the preset temperature, preset humidity, and preset light duration, thereby improving the accuracy of the analysis of the amount of fertilizer and watering for the plant, thereby improving the efficiency of plant growth monitoring and increasing the yield of the plant; in this embodiment, there is no specific limitation on the setting of the preset temperature, preset humidity, and preset light duration, and those skilled in the art can set them freely as long as the setting requirements of the preset temperature, preset humidity, and preset light duration are met, among which the optimal value of t1 is 15°C, the optimal value of t2 is 25°C, the optimal value of s1 is 40%RH, the optimal value of s2 is 60%RH, and the optimal value of z1 is 7h.

[0107] Specifically, the abnormality analysis unit analyzes the abnormality of the plant growth environment according to the analysis results of the abnormality of the ambient temperature and the abnormality of the ambient humidity within the monitoring period and the light duration, wherein:

[0108] When i 1 / i0×w1+i2 / i0×w2+(z1-z0) / i0×w3≤α, the abnormality analysis unit determines that the plant growth environment in the current monitoring period is normal;

[0109] When i 1 / i0×w1+i2 / i0×w2+(z1-z0) / i0×w3>α, the abnormality analysis unit determines that the plant growth environment in the current monitoring period is abnormal;

[0110] Among them, i1 is the duration of abnormal ambient temperature during the monitoring period, i0 is the duration of the monitoring period, i2 is the duration of abnormal ambient humidity during the monitoring period; α is the preset abnormality coefficient; w1 is the temperature weight, w2 is the humidity weight, w3 is the light weight, w1+w2+w3=1, w1>w2>w3.

[0111] Specifically, the abnormality analysis unit improves the accuracy of the abnormality analysis of the plant growth environment by setting a preset abnormality coefficient, thereby improving the accuracy of the analysis of the plant fertilizer and watering amounts, thereby improving the efficiency of plant growth monitoring and increasing plant yields; in this embodiment, there is no specific limitation on the setting of the preset abnormality coefficient and each weight, and those skilled in the art can set them freely as long as the setting requirements of the preset abnormality coefficient and each weight are met, among which the optimal value of α is 0.37, the optimal value of w1 is 0.6, the optimal value of w2 is 0.25, and the optimal value of w3 is 0.15.

[0112] Specifically, the salinization analysis unit compares the average soil conductivity d0 obtained during the management period with the preset conductivity d1, and analyzes the abnormality of soil salinization according to the comparison result, wherein:

[0113] When d0≤d1, the salinization analysis unit determines that the salinization of the soil in the current management period is normal;

[0114] When d0>d1, the salinization analysis unit determines that the salinization of the soil in the current management period is abnormal.

[0115] Specifically, the salinization analysis unit improves the accuracy of soil salinization abnormality analysis by setting a preset conductivity, thereby improving the accuracy of plant fertilization and watering analysis, thereby improving the efficiency of plant growth monitoring and increasing plant yield. In this embodiment, there is no specific limitation on the setting of the preset conductivity, and technicians in this field can set it freely as long as the setting requirements of the preset conductivity are met. Among them, the optimal value of d1 is 2.6mS / m.

[0116] Specifically, the soil moisture analysis unit compares the average soil moisture a0 obtained during the management period with each preset soil moisture, and analyzes the abnormality of the soil moisture according to the comparison result, wherein:

[0117] When a0≤a1, the soil moisture analysis unit determines that the soil moisture in the current management period is low;

[0118] When a1<a0<a2, the soil moisture analysis unit determines that the soil moisture in the current management period is normal;

[0119] When a0≥a2, the soil moisture analysis unit determines that the soil moisture is high;

[0120] Among them, a1 is the preset minimum soil moisture, and a2 is the preset maximum soil moisture.

[0121] Specifically, the soil moisture analysis unit improves the accuracy of soil moisture anomaly analysis by setting a preset soil moisture, thereby improving the accuracy of plant fertilization and watering amount analysis, thereby improving the efficiency of plant growth monitoring and increasing plant yield. In this embodiment, there is no specific limitation on the setting of the preset soil moisture, and technicians in this field can set it freely as long as the setting requirements of the preset soil moisture are met. Among them, the optimal value of a1 is 50%, and the optimal value of a2 is 70%.

[0122] Specifically, the first management unit manages the amount of fertilizer to be applied to plants in the next management cycle according to the analysis results of the environmental abnormality and soil salinization abnormality in the management cycle and the plant growth height k0, wherein:

[0123] When k0≤k1, the first management unit determines that the plant growth height in the current management cycle is abnormal. If q1 / q0≤β and soil salinization is normal, the first management unit sets the fertilizer amount of the plant in the next management cycle to R1, setting R1=R0×{1+0.56×I n[1+(k1-k0) / (k1+k0)] / I n2}; if q1 / q0≤β and soil salinization is abnormal, the first management unit sets the fertilizer amount of the plant in the next management cycle to R2, setting R2=R0×[1+0.56×I n[1+(k1-k0) / (k1+k0)] / I n2-0.45×sin(d0-d1)×(π / 2) / (d0+d1)]; if q1 / q0>β and soil salinization is normal, the first management unit sets the fertilizer amount of the plant in the next management cycle to R3, setting R4=R0×[1+0.56×I n[1+(k1-k0) / (k1+k0)] / I n2-0.45×sin(d0-d1)×(π / 2) / (d0+d1)]; n[1+(k1-k0) / (k1+k0)] / I n2-0.45×sin(d0-d1)×(π / 2) / (d0+d1)+0.25×(q1 / q0-β) / (q1 / q0+β)]; if q1 / q0>β and the soil salinization is abnormal, the first management unit sets the fertilizer amount of the plant in the next management cycle to R4, setting R4=R0×[1+0.56×I n[1+(k1-k0) / (k1+k0)] / I n2-0.45×sin(d0-d1)×(π / 2) / (d0+d1)+0.25×(q1 / q0-β) / (q1 / q0+β)];

[0124] When k0>k1, the first management unit determines that the plant growth height in the current management cycle is normal. If q1 / q0≤β and soil salinization is normal, the first management unit sets the fertilizer amount for the plants in the next management cycle to R5, setting R5=R0; if q1 / q0≤β and soil salinization is abnormal, the first management unit sets the fertilizer amount for the plants in the next management cycle to R6, setting R6=R0×[1-0.45×sin(d0-d1)×(π / 2) / (d0+d1)]; if q1 / q0>β and soil salinization is normal, the first management unit sets the fertilizer amount for the plants in the next management cycle to R7, setting R7=R0×[1-0.45×sin(d0-d1)×(π / 2) / (d0+d1)]. in(d0-d1)×(π / 2) / (d0+d1)+0.25×(q1 / q0-β) / (q1 / q0+β)]; if q1 / q0>β and the soil salinization is abnormal, the first management unit sets the fertilizer amount of the plant in the next management cycle to R8, setting R8=R0×[1-0.45×s in(d0-d1)×(π / 2) / (d0+d1)+0.25×(q1 / q0-β) / (q1 / q0+β)];

[0125] The first management unit outputs the analysis result of the fertilizer application amount to the user;

[0126] Among them, R0 is the preset fertilizer amount; k1 is the preset growth height; q1 is the number of abnormal monitoring cycles of plant growth environment within the management cycle, q0 is the number of monitoring cycles within the management cycle, and β is the preset abnormal proportion.

[0127] Specifically, the first management unit improves the accuracy of fertilizer analysis in the next management cycle by setting a preset growth height, etc., thereby improving the efficiency of plant growth monitoring and increasing plant yield. In this embodiment, there is no specific limitation on the setting of the preset growth height, the preset abnormality ratio and the preset fertilizer amount. Technical personnel in this field can set them freely, and only need to meet the setting requirements of the preset growth height, the preset abnormality ratio and the preset fertilizer amount. Among them, when the management cycle is 7 days, if the fertilizer type is inorganic fertilizer, the optimal value of R0 is 20 grams / square meter, the optimal value of k1 is 15 centimeters, and the optimal value of β is 0.3.

[0128] Specifically, the second management unit manages the watering amount of the plants in the next management cycle according to the analysis result of the abnormality of soil moisture in the management cycle and the analysis result Rr of the fertilization amount in the next management cycle, wherein:

[0129] When the soil humidity is low, if Rr≤R0, the second management unit sets the watering amount of the plants in the next management cycle to J1, setting J1=J0×{1+{[(a1-a0) / a1+1] (a1-a0) / a1+1-1} / 9}; if Rr>R0, the second management unit sets the watering amount of the plant in the next management cycle to J2, setting J2=J0×{1+{[(a1-a0) / a1+1] (a1-a0) / a1+1 -1} / 9+0.36×(Rr-R0) / (Rr+R0)};

[0130] When the soil moisture is normal, if Rr≤R0, the second management unit sets the watering amount of the plants in the next management cycle to J3, and sets J3=J0; if Rr>R0, the second management unit sets the watering amount of the plants in the next management cycle to J4, and sets J4=J0×[1+0.36×(Rr-R0) / (Rr+R0)];

[0131] When the soil humidity is high, if Rr≤R0, the second management unit sets the watering amount of the plants in the next management cycle to J5, setting J5=J0×{1-{[(a0-a2) / a1+1] (a0-a2) / a2+1 -1} / 6}; if Rr>R0, the second management unit sets the watering amount of the plant in the next management cycle to J6, setting J6=J0×{1-{[(a0-a2) / a1+1] (a0-a2) / a2+1 -1} / 6+0.36×(Rr-R0) / (Rr+R0)};

[0132] The second management unit outputs the analysis result of the watering amount in the next management cycle to the user;

[0133] Among them, J0 is the preset watering amount.

[0134] Specifically, the second management unit improves the accuracy of watering amount analysis in the next management cycle by setting a preset watering amount, thereby improving the efficiency of plant growth monitoring and increasing plant yield. In this embodiment, there is no specific limitation on the setting of the preset watering amount, and technicians in this field can set it freely as long as the setting requirements of the preset watering amount are met. When the management cycle is 7 days, if the fertilizer type is inorganic fertilizer, the optimal value of J0 is 15 liters / square meter.

[0135] Specifically, the first optimization unit compares the obtained altitude h0 with the preset altitude h1, and optimizes the management process of the plant fertilization amount according to the comparison result, wherein:

[0136] When h0≤h1, the first optimization unit determines that the altitude is normal and does not perform optimization;

[0137] When h0>h1, the first optimization unit determines that the altitude is abnormal, and optimizes the management process of the plant fertilizer amount, and sets the optimized preset altitude as k1', setting k1'=k1×[1-0.45×e 3(h0-h1) / (h0+h1)-3].

[0138] Specifically, when the altitude is high, it has an adverse effect on the cultivation of safflower. The first optimization unit improves the accuracy of the management process of plant fertilization by setting a preset altitude, thereby improving the efficiency of plant growth monitoring and increasing plant yield. In this embodiment, there is no specific limitation on the setting of the preset altitude, and technical personnel in this field can set it freely as long as the setting requirements of the preset altitude are met. Among them, the optimal value of the preset altitude is 1500 meters.

[0139] Specifically, the second optimization unit compares the average isoprene concentration y0 obtained within the management period with the preset concentration y1, and performs secondary optimization on the management process of the plant fertilization amount according to the comparison result, wherein:

[0140] When y0≤y1, the second optimization unit determines that the concentration of isoprene volatilized by plants in the current management period is normal and does not perform optimization;

[0141] When y0>y1, the second optimization unit determines that the concentration of isoprene volatilized by plants in the current management period is abnormal, and performs secondary optimization on the management process of plant fertilization, and sets the optimized preset altitude to h1', setting h1'=k1×[1-(y0-y1) / (y0+y1)].

[0142] Specifically, when plants are affected by pests and diseases, they will emit volatile chemicals. The second optimization unit improves the accuracy of the management process of plant fertilization by setting a preset concentration, thereby improving the efficiency of plant growth monitoring and increasing plant yields. In this embodiment, there is no specific limitation on the setting of the preset concentration, and technical personnel in this field can set it freely as long as the setting requirements of the preset concentration are met. Among them, the optimal value of the preset concentration is 1.25ppb.

[0143] Specifically, the updating unit compares the growth height p0 of the plant in the current growth cycle with the preset height p1, and updates the analysis process of the abnormality of the plant growth environment in the next growth cycle according to the comparison result, wherein:

[0144] When p0≤p1, the updating unit determines that the growth height of the plant in the current growth cycle is abnormal, and updates the analysis process of the abnormality of the plant growth environment in the next growth cycle, and sets the updated preset abnormality coefficient to α', setting α'=α×{1-0.3×arctan[(p1-p0) / (p1+p0)×(π / 4)]};

[0145] When p0>p1, the updating unit determines that the growth height of the plant in the current growth period is normal and does not perform updating.

[0146] Specifically, the update unit sets a preset height to improve the accuracy of the growth height abnormality analysis of the plant in the current growth cycle, and then improves the accuracy of the analysis process of soil salinization abnormality in the next growth cycle, thereby improving the efficiency of plant growth monitoring and increasing plant yield. In this embodiment, there is no specific limitation on the setting of the preset height, and technical personnel in this field can set it freely as long as the setting requirements of the preset height are met. Among them, when the plant is safflower, the optimal value of the preset height is 70cm.

[0147] Specifically, the first adjustment unit compares the planting density g1 of the plant with the preset density g0, and adjusts the updating process of the analysis process of the abnormality of the plant growth environment in the next growth cycle according to the comparison result, wherein:

[0148] When g1≤g0, the first adjustment unit determines that the planting density of the plants is normal and does not make any adjustment;

[0149] When g1>g0, the first adjustment unit determines that the planting density of the plants is abnormal, and adjusts the updating process of the analysis process of the abnormality of the plant growth environment in the next growth cycle, and sets the adjusted preset height to p1', setting p1'=p1×[1-(g1-g0) / (g1+g0)].

[0150] Specifically, the first adjustment unit sets a preset density to improve the accuracy of the update process analysis of the analysis process of the abnormality of the plant growth environment in the next growth cycle, so as to reduce the adverse effects of excessive planting density on plant growth, thereby improving the efficiency of plant growth monitoring and increasing plant yield. In this embodiment, there is no specific limitation on the setting of the preset density, and technical personnel in this field can set it freely as long as the setting requirements of the preset density are met. When the plant is safflower, the optimal value of g0 is 25 plants / square meter.

[0151] Specifically, the second adjustment unit performs secondary adjustment on the updating process of the analysis process of the abnormality of the plant growth environment in the next growth period according to the analysis result of the abnormality of the plant growth environment in the growth period, wherein:

[0152] When c1 / c0≤γ, the second adjustment unit determines that the growth environment of the plant in the current growth period is normal and does not make any adjustment;

[0153] When c1 / c0>γ, the second adjustment unit determines that the growth environment of the plant in the current growth cycle is abnormal, and performs a secondary adjustment on the updating process of the analysis process of the abnormality of the plant growth environment in the next growth cycle, and sets the adjusted preset density to g1', setting g1'=g1×[1-0.2×(c1 / c0-γ) / (c1 / c0+γ)];

[0154] Wherein, c1 is the number of monitoring cycles of abnormal plant growth environment within the growth cycle, c0 is the number of monitoring cycles within the growth cycle, and γ is the preset growth abnormality coefficient.

[0155] Specifically, the second adjustment unit improves the accuracy of the update process analysis of the analysis process of the abnormality of the plant growth environment in the next growth cycle by setting a preset growth anomaly coefficient, thereby improving the efficiency of plant growth monitoring and increasing plant yield. In this embodiment, there is no specific limitation on the setting of the preset growth anomaly coefficient, and technical personnel in this field can set it freely, as long as the setting requirements of the preset growth anomaly coefficient are met. When the plant is safflower, the optimal value of γ is 0.28.

[0156] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. An intelligent growth monitoring system for plant seedling cultivation, characterized in that: include, An information acquisition module is used to obtain plant growth environment information and soil information; The environmental analysis module is used to analyze the abnormality of the plant growth environment based on the greenhouse ambient temperature, ambient humidity and light duration obtained during the monitoring period; Soil analysis module, used to analyze the abnormality of soil conditions for plant growth based on soil information obtained during the management cycle; A growth management module is used to manage the amount of fertilizer applied to plants in the next management cycle based on the analysis results of environmental abnormalities and soil condition abnormalities within the management cycle and the plant growth height, and is also used to manage the amount of watering for plants in the next management cycle based on the analysis results of soil condition abnormalities within the management cycle and the analysis results of the amount of fertilizer applied in the next management cycle; A management optimization module is used to optimize the management process of fertilization and watering of plants in the next monitoring period according to the average isoprene concentration and altitude obtained during the management period; The updating module is used to update the abnormality analysis process of the plant growth environment according to the growth height of the plant in the current growth cycle, and adjust the updating process of the abnormality analysis process of the plant growth environment according to the analysis results of the environmental abnormality within the growth cycle and the planting density.

2. The intelligent growth monitoring system for plant seedling cultivation according to claim 1, characterized in that: The environmental analysis module is provided with an environmental analysis unit, which is used to compare the acquired ambient temperature t0 with each preset temperature and analyze the abnormality of the ambient temperature according to the comparison result, wherein: When t0≤t1 or t0≥t2, the environment analysis unit determines that the environment temperature is abnormal; When t1<t0<t2, the environment analysis unit determines that the environment temperature is normal; The environmental analysis unit is used to compare the acquired environmental humidity s0 with each preset humidity, and analyze the abnormality of the environmental humidity according to the comparison result, wherein: When s0≤s1 or s0≥s1, the environmental analysis unit determines that the environmental humidity is abnormal; When s1<s0<s2, the environmental analysis unit determines that the environmental humidity is normal; The environmental analysis unit is used to compare the illumination duration z0 obtained during the monitoring period with the preset illumination duration z1, and analyze the abnormality of the illumination duration according to the comparison result, wherein: When z0≤z1, the environmental analysis unit determines that the illumination duration of the current monitoring period is abnormal; When z0>z1, the environmental analysis unit determines that the illumination duration of the current monitoring period is normal; Among them, t1 is the preset minimum temperature, t2 is the preset maximum temperature; s1 is the preset minimum humidity, and s2 is the preset maximum humidity.

3. The intelligent growth monitoring system for plant seedling cultivation according to claim 2, characterized in that: The environmental analysis module is provided with an abnormality analysis unit, which is used to analyze the abnormality of the plant growth environment according to the analysis results of the abnormality of the ambient temperature and the abnormality of the ambient humidity within the monitoring period and the duration of light exposure, wherein: When i 1 / i0×w1+i2 / i0×w2+(z1-z0) / i0×w3≤α, the abnormality analysis unit determines that the plant growth environment in the current monitoring period is normal; When i 1 / i0×w1+i2 / i0×w2+(z1-z0) / i0×w3>α, the abnormality analysis unit determines that the plant growth environment in the current monitoring period is abnormal; Among them, i1 is the duration of abnormal ambient temperature during the monitoring period, i0 is the duration of the monitoring period, i2 is the duration of abnormal ambient humidity during the monitoring period; α is the preset abnormality coefficient; w1 is the temperature weight, w2 is the humidity weight, w3 is the light weight, w1+w2+w3=1.

4. The intelligent growth monitoring system for plant seedling cultivation according to claim 1, characterized in that: The soil analysis module is provided with a salinization analysis unit, which is used to compare the average soil conductivity d0 obtained during the management period with the preset conductivity d1, and analyze the abnormality of soil salinization according to the comparison result, wherein: When d0≤d1, the salinization analysis unit determines that the salinization of the soil in the current management period is normal; When d0>d1, the salinization analysis unit determines that the salinization of the soil in the current management period is abnormal; The soil analysis module is provided with a soil moisture analysis unit, which is used to compare the average soil moisture a0 obtained during the management period with each preset soil moisture, and analyze the abnormality of the soil moisture according to the comparison result, wherein: When a0≤a1, the soil moisture analysis unit determines that the soil moisture in the current management period is low; When a1<a0<a2, the soil moisture analysis unit determines that the soil moisture in the current management period is normal; When a0≥a2, the soil moisture analysis unit determines that the soil moisture is high; Among them, a1 is the preset minimum soil moisture, and a2 is the preset maximum soil moisture.

5. The intelligent growth monitoring system for plant seedling cultivation according to claim 4, characterized in that: The growth management module is provided with a first management unit, which is used to manage the amount of fertilizer applied to plants in the next management cycle according to the analysis results of environmental abnormalities and soil salinization abnormalities within the management cycle and the plant growth height k0, wherein: When k0≤k1, the first management unit determines that the plant growth height in the current management cycle is abnormal. If q1 / q0≤β and soil salinization is normal, the first management unit sets the fertilizer amount for the plants in the next management cycle to R1, and sets R1=R0×{1+0.56×In[1+(k1-k0) / (k1+k0)] / In2}; if q1 / q0≤β and soil salinization is abnormal, the first management unit sets the fertilizer amount for the plants in the next management cycle to R2, and sets R2=R0×[1+0.56×In[1+(k1-k0) / (k1+k0)] / In2-0.45×sin(d0-d1)×(π / 2) / (d0+d1)]; if q1 / q0>β and soil salinization is normal, the first management unit sets the fertilizer amount for the plants in the next management cycle to R2, and sets R2=R0×[1+0.56×In[1+(k1-k0) / (k1+k0)] / In2-0.45×sin(d0-d1)×(π / 2) / (d0+d1)]; The unit sets the fertilizer amount of the plants in the next management cycle to R3, and sets R4 = R0 × [1 + 0.56 × In [1 + (k1-k0) / (k1 + k0)] / In2 - 0.45 × sin (d0-d1) × (π / 2) / (d0 + d1) + 0.25 × (q1 / q0-β) / (q1 / q0 + β)]; if q1 / q0 > β and the soil salinization is abnormal, the first management unit sets the fertilizer amount of the plants in the next management cycle to R4, and sets R4 = R0 × [1 + 0.56 × In [1 + (k1-k0) / (k1 + k0)] / In2 - 0.45 × sin (d0-d1) × (π / 2) / (d0 + d1) + 0.25 × (q1 / q0-β) / (q1 / q0 + β)]; When k0>k1, the first management unit determines that the plant growth height in the current management cycle is normal. If q1 / q0≤β and soil salinization is normal, the first management unit sets the fertilizer amount for the plants in the next management cycle to R5, setting R5=R0; if q1 / q0≤β and soil salinization is abnormal, the first management unit sets the fertilizer amount for the plants in the next management cycle to R6, setting R6=R0×[1-0.45×sin(d0-d1)×(π / 2) / (d0+d1)]; if q1 / q0>β and soil salinization is normal, the first management unit sets the fertilizer amount for the plants in the next management cycle to R6, setting R6=R0×[1-0.45×sin(d0-d1)×(π / 2) / (d0+d1)]; The fertilizer amount of the plants in the next management cycle is set to R7, and R7=R0×[1-0.45×sin(d0-d1)×(π / 2) / (d0+d1)+0.25×(q1 / q0-β) / (q1 / q0+β)]; if q1 / q0>β and the soil salinization is abnormal, the first management unit sets the fertilizer amount of the plants in the next management cycle to R8, and sets R8=R0×[1-0.45×sin(d0-d1)×(π / 2) / (d0+d1)+0.25×(q1 / q0-β) / (q1 / q0+β)]; The first management unit outputs the analysis result of the fertilizer application amount to the user; Among them, R0 is the preset fertilizer amount; k1 is the preset growth height; q1 is the number of abnormal plant growth environment monitoring cycles within the management cycle, and q0 is the number of monitoring cycles within the management cycle.

6. The intelligent growth monitoring system for plant seedling cultivation according to claim 5, characterized in that: The growth management module is further provided with a second management unit, which is used to manage the watering amount of plants in the next management cycle according to the analysis result of soil moisture anomaly in the management cycle and the analysis result Rr of the fertilization amount in the next management cycle, wherein: When the soil humidity is low, if Rr≤R0, the second management unit sets the watering amount of the plants in the next management cycle to J1, setting J1=J0×{1+{[(a1-a0) / a1+1] (a1-a0) / a1+1 -1} / 9}; if Rr>R0, the second management unit sets the watering amount of the plant in the next management cycle to J2, setting J2=J0×{1+{[(a1-a0) / a1+1] (a1-a0) / a1+1 -1} / 9+0.36×(Rr-R0) / (Rr+R0)}; When the soil moisture is normal, if Rr≤R0, the second management unit sets the watering amount of the plants in the next management cycle to J3, and sets J3=J0; if Rr>R0, the second management unit sets the watering amount of the plants in the next management cycle to J4, and sets J4=J0×[1+0.36×(Rr-R0) / (Rr+R0)]; When the soil humidity is high, if Rr≤R0, the second management unit sets the watering amount of the plants in the next management cycle to J5, setting J5=J0×{1-{[(a0-a2) / a1+1] (a0-a2) / a2+1 -1} / 6}; if Rr>R0, the second management unit sets the watering amount of the plant in the next management cycle to J6, setting J6=J0×{1-{[(a0-a2) / a1+1] (a0-a2) / a2+1 -1} / 6+0.36×(Rr-R0) / (Rr+R0)}; The second management unit outputs the analysis result of the watering amount in the next management cycle to the user; Among them, J0 is the preset watering amount.

7. The intelligent growth monitoring system for plant seedling cultivation according to claim 5, characterized in that: The management optimization module is provided with a first optimization unit, which compares the acquired altitude h0 with the preset altitude h1, and optimizes the management process of the plant fertilization amount according to the comparison result, wherein: When h0≤h1, the first optimization unit determines that the altitude is normal and does not perform optimization; When h0>h1, the first optimization unit determines that the altitude is abnormal, and optimizes the management process of the plant fertilizer amount, and sets the optimized preset altitude as k1', setting k1'=k1×[1-0.45×e 3(h0-h1) / (h0+h1)-3 ].

8. The intelligent growth monitoring system for plant seedling cultivation according to claim 7, characterized in that: The management optimization module is provided with a second optimization unit, which is used to compare the average isoprene concentration y0 obtained within the management period with the preset concentration y1, and perform secondary optimization on the management process of the plant fertilization amount according to the comparison result, wherein: When y0≤y1, the second optimization unit determines that the concentration of isoprene volatilized by plants in the current management period is normal and does not perform optimization; When y0>y1, the second optimization unit determines that the concentration of isoprene volatilized by plants in the current management period is abnormal, and performs secondary optimization on the management process of plant fertilization, and sets the optimized preset altitude to h1', setting h1'=k1×[1-(y0-y1) / (y0+y1)].

9. The intelligent growth monitoring system for plant seedling cultivation according to claim 3, characterized in that: The updating module is provided with an updating unit, which is used to compare the growth height p0 of the plant in the current growth cycle with the preset height p1, and update the analysis process of the abnormality of the plant growth environment in the next growth cycle according to the comparison result, wherein: When p0≤p1, the updating unit determines that the growth height of the plant in the current growth cycle is abnormal, and updates the analysis process of the abnormality of the plant growth environment in the next growth cycle, and sets the updated preset abnormality coefficient to α', setting α'=α×{1-0.3×arctan[(p1-p0) / (p1+p0)×(π / 4)]}; When p0>p1, the updating unit determines that the growth height of the plant in the current growth period is normal and does not perform updating.

10. The intelligent growth monitoring system for plant seedling cultivation according to claim 9, characterized in that: The updating module is provided with a first adjusting unit, which is used to compare the planting density g1 of the plant with the preset density g0, and to adjust the updating process of the analysis process of the abnormality of the plant growth environment in the next growth cycle according to the comparison result, wherein: When g1≤g0, the first adjustment unit determines that the planting density of the plants is normal and does not make any adjustment; When g1>g0, the first adjustment unit determines that the planting density of the plant is abnormal, and adjusts the updating process of the analysis process of the abnormality of the plant growth environment in the next growth cycle, and sets the adjusted preset height to p1', setting p1'=p1×[1-(g1-g0) / (g1+g0)]; The updating module is further provided with a second adjusting unit, which performs secondary adjustment on the updating process of the analysis process of the abnormality of the plant growth environment in the next growth cycle according to the analysis result of the abnormality of the plant growth environment in the growth cycle, wherein: When c1 / c0≤γ, the second adjustment unit determines that the growth environment of the plant in the current growth period is normal and does not make any adjustment; When c1 / c0>γ, the second adjustment unit determines that the growth environment of the plant in the current growth cycle is abnormal, and performs a secondary adjustment on the updating process of the analysis process of the abnormality of the plant growth environment in the next growth cycle, and sets the adjusted preset density to g1', setting g1'=g1×[1-0.2×(c1 / c0-γ) / (c1 / c0+γ)]; Wherein, c1 is the number of monitoring cycles of abnormal plant growth environment within the growth cycle, c0 is the number of monitoring cycles within the growth cycle, and γ is the preset growth abnormality coefficient.

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