A soilless crop growth monitoring system

Abstract

The present invention relates to the technical field of agricultural growth monitoring, and in particular to a soilless planting crop growth monitoring system, comprising an information acquisition module for acquiring crop growth data, environmental data, fog cultivation parameters and crop images within a monitoring period, a stage analysis module for analyzing the crop growth stage, an environmental state analysis module for analyzing the environmental state, a growth monitoring module for analyzing the crop state, an abnormality analysis module for analyzing the abnormal growth state of the crop according to the crop state analysis results and the environmental state analysis results within the monitoring period, a cultivation management module for controlling the light intensity and atomization frequency of the next monitoring period according to the abnormal growth state analysis results within the monitoring period, and a management update module for updating the control process of the next growth period. The present invention effectively improves the efficiency of agricultural growth monitoring.

Description

Technical Field

[0001] The invention relates to the technical field of agricultural growth monitoring, and in particular to a soilless planting crop growth monitoring system. Background Art

[0002] With the development of modern agricultural technology, soilless cultivation has attracted widespread attention due to its advantages such as high efficiency, environmental protection and resource conservation. However, the growth of crops in soilless cultivation environments is affected by multiple factors such as nutrient solution composition, light intensity, temperature and humidity, which puts forward higher requirements for precise regulation. Therefore, it is of great significance to develop a system that can monitor and analyze the growth status of soilless crops in real time and accurately.

[0003] Chinese Patent Publication No.: CN103645704A discloses an agricultural greenhouse monitoring system and a monitoring method thereof, which are used to monitor the environmental parameter information of agricultural greenhouses in real time. The agricultural greenhouse monitoring system includes a monitoring terminal for real-time monitoring of the environmental parameter information of agricultural greenhouses, a wireless serial port connected to the monitoring terminal and packaging the received environmental parameter information, a mobile phone platform connected to the wireless serial port to determine whether the environmental parameter information is abnormal, and a remote server connected to the mobile phone platform and transmitting information through wireless communication. The agricultural greenhouse monitoring system and the monitoring method of the present invention make the agricultural platform more closely integrated with the mobile phone network, and also make better use of the display function of the mobile phone itself, reducing costs; it can be seen that the invention does not monitor the growth status of crops, and there is a problem of low efficiency in agricultural growth monitoring. Summary of the invention

[0004] To this end, the present invention provides a soilless crop growth monitoring system to overcome the problem of low efficiency of agricultural growth monitoring in the prior art.

[0005] To achieve the above-mentioned purpose, the present invention provides a soilless planting crop growth monitoring system, comprising:

[0006] An information acquisition module is used to obtain crop growth data, environmental data, aeroponic parameters and crop images within the monitoring period;

[0007] A stage analysis module is used to analyze the growth stage of crops based on crop images within the monitoring period;

[0008] The environmental status analysis module is used to analyze the abnormal status of the greenhouse environment according to the greenhouse data and stage analysis results within the monitoring period, and to analyze the environmental status according to the abnormal status analysis results of the greenhouse environment and the air data;

[0009] Growth monitoring module, used to analyze the status of crops according to the chlorophyll concentration and stage analysis results during the monitoring period, and to adjust the analysis process of crop status according to the leaf area ratio and crop root length;

[0010] The abnormal analysis module is used to analyze the abnormal growth status of crops according to the crop status analysis results and environmental status analysis results within the monitoring period;

[0011] The cultivation management module is used to control the light intensity and atomization frequency of the next monitoring period according to the analysis results of abnormal growth status in the monitoring period;

[0012] The management update module is used to update the control process of the next growth cycle according to the yield of crops in the growth cycle.

[0013] Furthermore, the stage analysis module is provided with an image analysis unit, and the image analysis unit is used to perform gray value analysis on the crop images within the monitoring period;

[0014] The image analysis unit compares the crop image grayscale value G(i) within the monitoring period with the preset distinction grayscale value G1, and classifies the pixel point according to the comparison result, wherein:

[0015] When G(i)≥G1, the image analysis unit determines that the pixel point is a leaf pixel point;

[0016] When G(i)<G1, the image analysis unit determines that the pixel point is a non-leaf pixel point;

[0017] The image analysis unit counts the number N1 of leaf pixels in the crop image within the monitoring period, and calculates the average grayscale value Gary of the leaf pixels, and sets Gary=[g(1)+g(2)+...+g(N1)] / N1;

[0018] Where G(i) is the grayscale value of the i-th pixel in the crop image during the monitoring period, i = 1, 2...N, N is the number of pixels in the crop image, g(1) is the grayscale value of the first leaf pixel, g(2) is the grayscale value of the second leaf pixel, and g(N1) is the grayscale value of the N1-th leaf pixel.

[0019] Furthermore, the stage analysis module is further provided with a stage analysis unit, which is used to compare the average gray value Gary of the leaf pixel points with each preset gray value, and analyze the crop growth stage according to the comparison result, wherein:

[0020] When Gary<g1, the stage analysis unit determines that the growth stage of the crop is the seedling stage;

[0021] When g1≤Gary<g2, the stage analysis unit determines that the crop growth stage is the vegetative growth stage;

[0022] When Gary≥g2, the stage analysis unit determines that the crop growth stage is the reproductive growth stage;

[0023] Wherein, g1 is a first preset grayscale value, g2 is a second preset grayscale value, and g1<g2.

[0024] Furthermore, the environmental state analysis module is provided with a greenhouse environment analysis unit, and the greenhouse environment analysis unit is used to calculate the environmental factor α according to the average temperature t and the average humidity s in the monitoring period, and set α=|tT| / T×a1+(sS) / S×a2;

[0025] Where T is the suitable temperature value, S is the humidity threshold, a1 is the temperature anomaly weight, a2 is the humidity anomaly weight, and a1+a2=1;

[0026] The greenhouse environment analysis unit environmental factor α is compared with the environmental factor threshold A, and the abnormal state of the greenhouse environment is analyzed according to the comparison result, wherein:

[0027] When α<A, the greenhouse environment analysis unit determines that the abnormal state of the greenhouse environment within the monitoring period is normal;

[0028] When α≥A, the greenhouse environment analysis unit determines that the abnormal state of the greenhouse environment within the monitoring period is abnormal.

[0029] Furthermore, the environmental status analysis module is further provided with an air analysis unit, and the air analysis unit is used to analyze the abnormal state of air within the monitoring period according to the carbon dioxide concentration and the oxygen concentration within the monitoring period;

[0030] The air analysis unit analyzes the abnormal state of the air within the monitoring period according to the analysis result of the abnormal state of the greenhouse environment within the monitoring period, wherein:

[0031] When the greenhouse environment abnormal state is abnormal, the air analysis unit determines that the air abnormal state within the monitoring period is abnormal;

[0032] When the abnormal state of the greenhouse environment is normal, the air analysis unit calculates the air impact factor β according to the carbon dioxide concentration ρ(CO2) and the oxygen concentration ρ(O2) during the monitoring period, and sets β=[ρ(CO2)-C1] / C1+[ρ(O2)-C2] / C2; if β<B, the air analysis unit determines that the abnormal state of the air during the monitoring period is normal; if β≥B, the air analysis unit determines that the abnormal state of the air during the monitoring period is abnormal;

[0033] Among them, B is the air impact factor threshold.

[0034] Furthermore, the environmental state analysis unit is used to analyze the environmental state according to the abnormal air state analysis results, crop growth stage analysis results and aeroponic parameters within the monitoring period, wherein:

[0035] When the abnormal air state is normal and the crop growth stage is the seedling stage, if μ<μ1, the environmental state analysis unit determines that the environmental state within the monitoring period is abnormal; if μ1≤μ<μ2, the environmental state analysis unit determines that the environmental state within the monitoring period is normal; if μ≥μ2, the environmental state analysis unit determines that the environmental state within the monitoring period is abnormal;

[0036] When the abnormal air state is normal and the crop growth stage is the vegetative growth stage, if μ<μ2, the environmental state analysis unit determines that the environmental state within the monitoring period is abnormal; if μ2≤μ<μ3, the environmental state analysis unit determines that the environmental state within the monitoring period is normal; if μ≥μ3, the environmental state analysis unit determines that the environmental state within the monitoring period is abnormal;

[0037] When the abnormal air state is normal and the crop growth stage is the reproductive growth stage, if μ<μ3, the environmental state analysis unit determines that the environmental state within the monitoring period is abnormal; if μ3≤μ<μ4, the environmental state analysis unit determines that the environmental state within the monitoring period is normal; if μ≥μ4, the environmental state analysis unit determines that the environmental state within the monitoring period is abnormal;

[0038] When the air abnormality state is abnormal, the environmental state analysis unit determines that the environmental state within the monitoring period is abnormal;

[0039] Among them, μ is the atomization frequency of the atomization system during the monitoring period, μ1 is the first preset atomization frequency, μ2 is the second preset atomization frequency, μ3 is the third preset atomization frequency, μ4 ​​is the fourth preset atomization frequency, and μ1<μ2<μ3<μ4.

[0040] Furthermore, the growth monitoring module is provided with a growth monitoring unit, which is used to analyze the state of the crops according to the chlorophyll concentration y and the crop growth stage analysis results within the monitoring period, wherein:

[0041] When the crop growth stage is the seedling stage, if y<Y1, the growth monitoring unit determines that the crop state is normal within the monitoring period, and if y≥Y1, the growth monitoring unit determines that the crop state is abnormal within the monitoring period;

[0042] When the crop growth stage is the vegetative growth stage, if y<Y2, the growth monitoring unit determines that the crop state is normal within the monitoring period; if y≥Y2, the growth monitoring unit determines that the crop state is abnormal within the monitoring period;

[0043] When the crop growth stage is the reproductive growth stage, if y<Y3, the growth monitoring unit determines that the crop state is normal within the monitoring period; if y≥Y3, the growth monitoring unit determines that the crop state is abnormal within the monitoring period;

[0044] Among them, Y1 is the chlorophyll concentration threshold in the seedling stage, Y2 is the chlorophyll concentration threshold in the vegetative growth stage, and Y3 is the chlorophyll concentration threshold in the reproductive growth stage, and Y1<Y2<Y3;

[0045] The growth monitoring module is further provided with an adjustment unit, which calculates the leaf area ratio v according to the number of leaf pixel points N1 within the monitoring period, and sets v=N1 / N;

[0046] The adjustment unit is used to compare the leaf area ratio v with the preset area ratio, and adjust the analysis result of the crop state according to the comparison result, wherein:

[0047] When the crop growth stage is the reproductive growth stage, if v<V1, the adjustment unit determines that the leaf area ratio is abnormal, and adjusts the chlorophyll concentration threshold of the seedling stage to Y1', setting Y1'=Y1×[1+(V1-v) / V1]; if v≥V1, the adjustment unit determines that the leaf area ratio is normal and does not make any adjustment;

[0048] When the crop growth stage is the reproductive growth stage, if v<V2, the adjustment unit determines that the leaf area ratio is abnormal, and adjusts the chlorophyll concentration threshold of the vegetative growth stage to Y2', setting Y2'=Y2×[1+(V2-v) / V2]; if v≥V2, the adjustment unit determines that the leaf area ratio is normal and does not make any adjustment;

[0049] When the crop growth stage is the reproductive growth stage, if v<V3, the adjustment unit determines that the leaf area ratio is abnormal, and adjusts the chlorophyll concentration threshold of the reproductive growth stage to Y3', setting Y3'=Y3×[1+(V3-v) / V3]; if v≥V3, the adjustment unit determines that the leaf area ratio is normal and does not make any adjustment;

[0050] Wherein, V1 is the first preset blade area, V2 is the second preset blade area, V3 is the third preset blade area, and V1<V2<V3;

[0051] The growth monitoring module is further provided with an optimization unit, which is used to compare the root length h of the crop within the monitoring period with the root length threshold L, and optimize the adjustment process of the crop state according to the comparison result, wherein:

[0052] When h<L, the optimization unit determines that the root length is abnormal within the monitoring period, optimizes the leaf area ratio to v', and sets v'=v×{1-arctan[(Lh) / L]};

[0053] When h≥L, the optimization unit determines that the root length is normal within the monitoring period and does not perform optimization.

[0054] Furthermore, the abnormal analysis module analyzes the abnormal growth state of the crops according to the crop state analysis results, the environmental state analysis results and the historical cultivation information within the monitoring period, wherein:

[0055] When the environmental state is normal and the crop state is normal, the abnormality analysis module determines that the abnormal growth state of the crop within the monitoring period is normal;

[0056] When the environmental state is normal and the crop state is abnormal, if W>W2, the abnormal analysis module determines that the abnormal growth state of the crops during the monitoring period is a high light abnormality; if W<W1, the abnormal analysis module determines that the abnormal growth state of the crops during the monitoring period is a low light abnormality; if W1≤W<W2, the abnormal analysis module determines that the abnormal growth state of the crops during the monitoring period is an environmental abnormality;

[0057] When the environmental state is abnormal and the crop state is normal, the abnormality analysis module determines that the abnormal growth state of the crop within the monitoring period is normal;

[0058] When the environmental state is abnormal and the crop state is abnormal, if W1≤W<W2, the abnormality analysis module determines that the abnormal growth state of the crops during the monitoring period is an environmental abnormality; if W<W1, the abnormality analysis module determines that the abnormal growth state of the crops during the monitoring period is a low light abnormality; if W>W2, the abnormality analysis module determines that the abnormal growth state of the crops during the monitoring period is a high light abnormality;

[0059] Wherein, W is the average light intensity during the monitoring period, W1 is the first preset light intensity, W2 is the second preset light intensity, and W1<W2.

[0060] Furthermore, the cultivation management module controls the illumination intensity and atomization frequency of the next monitoring period according to the abnormal growth state analysis results and historical cultivation information within the monitoring period, wherein:

[0061] When the abnormal growth state of the crop is normal, the first management unit does not adjust the aeroponic system in the next monitoring cycle;

[0062] When the abnormal growth state of the crop is a high light abnormality, the first management unit sets the fill light illumination intensity of the next monitoring period to Ws1, and sets Ws1 = [Ws-(W-W2)] × (W-W2) / (W2-W1) × ln(1+α+β);

[0063] When the abnormal growth state of the crop is low light abnormality, the first management unit sets the supplementary light intensity of the next monitoring cycle to Ws2, and sets Ws2 = [Ws + (W1-W)] × (W1-W) / (W2-W1) × ln (1 + α + β);

[0064] When the abnormal growth state of the crop is an abnormal environment, the first management unit sets the atomization frequency of the next monitoring period to D, and sets D=d×exp(α×β);

[0065] Among them, Ws is the fill light intensity during the monitoring period, and d is the atomization frequency during the current monitoring period.

[0066] Furthermore, the management update module updates the control process of the next growth cycle according to the yield r of the crops in the growth cycle, wherein:

[0067] When r<R, the management update module determines that the crop yield in the growth cycle is low, and updates the supplementary light intensity in the next monitoring cycle to Wsj', where j=1,2, and sets Wsj'=Wsj×cos[(Rr) / R];

[0068] When r≥R, the management and update module determines that the crop yield within the growth cycle is normal and does not update;

[0069] Among them, R is the preset output.

[0070] Compared with the prior art, the beneficial effects of the present invention are that the information acquisition module improves the accuracy and completeness of information acquisition by acquiring the information required by the system, thereby improving the accuracy of crop growth stage analysis, thereby improving the accuracy of environmental status and crop status analysis, thereby improving the accuracy of abnormal crop growth state analysis, and ultimately improving the efficiency of agricultural growth monitoring; the stage analysis module improves the accuracy of crop growth stage analysis by analyzing the crop growth stage, thereby improving the accuracy of environmental status and crop status analysis, thereby improving the accuracy of abnormal crop growth state analysis, and ultimately improving the efficiency of agricultural growth monitoring; the environmental status analysis module improves the accuracy of environmental status analysis by analyzing the environmental status according to the abnormal air status analysis results, the crop growth stage analysis results and the fog cultivation parameters within the monitoring period, thereby improving the accuracy of abnormal crop growth state analysis, thereby improving the accuracy of abnormal crop growth state analysis, and ultimately improving the efficiency of agricultural growth monitoring; the growth The monitoring module analyzes the state of crops according to the chlorophyll concentration y and the analysis results of the crop growth stage within the monitoring period, thereby improving the accuracy of the crop state analysis, thereby improving the accuracy of the analysis of the abnormal growth state of crops, and ultimately improving the efficiency of agricultural growth monitoring. The abnormal analysis module analyzes the abnormal growth state of crops according to the crop state analysis results, environmental state analysis results and historical cultivation information within the monitoring period, thereby improving the accuracy of the analysis of the abnormal growth state of crops, and ultimately improving the efficiency of agricultural growth monitoring. The cultivation management module controls the light intensity and atomization frequency of the next monitoring period according to the abnormal growth state analysis results and historical cultivation information within the monitoring period, thereby improving the accuracy of controlling the light intensity and atomization frequency of the next monitoring period, thereby improving the efficiency of agricultural growth monitoring. The management update module updates the control process of the fog cultivation system for the next growth period, thereby improving the accuracy of controlling the light intensity and atomization frequency of the next monitoring period, thereby improving the efficiency of agricultural growth monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] Figure 1 This is a schematic diagram of the structure of a soilless crop growth monitoring system according to the present embodiment;

[0072] Figure 2 This is a schematic diagram of the structure of the stage analysis module of this embodiment;

[0073] Figure 3 This is a schematic diagram of the structure of the environmental status analysis module of this embodiment;

[0074] Figure 4 Schematic diagram of the structure of the growth monitoring module of this embodiment. DETAILED DESCRIPTION

[0075] 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.

[0076] 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.

[0077] 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.

[0078] See also Figure 1 As shown, it is a structural schematic diagram of a soilless planting crop growth monitoring system of this embodiment, including:

[0079] An information acquisition module is used to acquire crop growth data, environmental data, aeroponic parameters and crop images within a monitoring period; the crop growth data includes crop root length and chlorophyll concentration; the environmental data includes average light intensity, air data and greenhouse data, the greenhouse data includes average temperature and average humidity in the greenhouse, and the air data includes carbon dioxide concentration and oxygen concentration; the aeroponic parameters include atomization frequency; in this embodiment, no specific limitation is made to the value of the monitoring period, and those skilled in the art can freely set it, as long as the value requirement of the monitoring period is met, such as the monitoring period can be set to 1 day; the crop image is a grayscale image of the crop from a bird's-eye view, and in this embodiment, the shooting height is 50 cm; in this embodiment, no specific limitation is made to the acquisition method of crop growth data and environmental data, and those skilled in the art can freely set it, as long as the acquisition requirement of crop growth data and environmental data is met, such as greenhouse data can be acquired through temperature sensors and humidity sensors, average light intensity can be acquired through light intensity monitoring devices, chlorophyll concentration can be acquired through chlorophyll meters, and aeroponic parameters can be acquired through aeroponic systems;

[0080] A stage analysis module, used for analyzing the growth stage of crops according to the crop images within the monitoring period, the stage analysis module being connected to the information acquisition module;

[0081] An environmental status analysis module, used to analyze the environmental status according to the environmental data within the monitoring period, and the environmental status analysis module is connected to the stage analysis module;

[0082] A growth monitoring module, used for analyzing the state of crops according to the root length of crops and crop images within a monitoring period, the growth monitoring module being connected to the stage analysis module;

[0083] An abnormality analysis module, used to analyze the abnormal growth state of crops according to the crop state analysis results, historical cultivation information and environmental state analysis results within the monitoring period, and the abnormality analysis module is connected to the growth monitoring module and the environmental state analysis module;

[0084] A cultivation management module, used to control the light intensity and atomization frequency of the next monitoring period according to the abnormal growth state analysis results and historical cultivation information within the monitoring period, and the cultivation management module is connected to the abnormal analysis module;

[0085] The management update module is used to update the control process of the next growth cycle according to the yield of the crops in the growth cycle. The management update module is connected to the training management module. In this embodiment, the growth cycle is the time period from germination to maturity of the crops.

[0086] See also Figure 2 As shown, it is a schematic diagram of the structure of the stage analysis module of this embodiment, including:

[0087] An image analysis unit, used to perform gray value analysis on crop images within a monitoring period;

[0088] The stage analysis unit is used to analyze the growth stage of the crop according to the gray value analysis result, and the stage analysis unit is connected to the image analysis unit.

[0089] See also Figure 3 As shown, it is a schematic diagram of the structure of the environmental status analysis module of this embodiment, including:

[0090] A greenhouse environment analysis unit is used to analyze abnormal conditions of the greenhouse environment based on greenhouse data;

[0091] An air analysis unit, used to analyze the abnormal state of air in the monitoring period according to the analysis results of the carbon dioxide concentration, oxygen concentration and abnormal state of the greenhouse environment in the monitoring period, and the air analysis unit is connected to the greenhouse environment analysis unit;

[0092] The environmental state analysis unit is used to analyze the environmental state according to the abnormal air state analysis results, the crop growth stage analysis results and the aeroponic parameters within the monitoring period. The environmental state analysis unit is connected to the air analysis unit.

[0093] See also Figure 4 As shown, it is a schematic diagram of the structure of the growth monitoring module of this embodiment, including:

[0094] Growth monitoring unit, used to analyze the status of crops based on the analysis results of chlorophyll concentration and crop growth stage during the monitoring period;

[0095] an adjustment unit, which adjusts the analysis result of the crop state according to the number of leaf pixel points within the monitoring period, and the adjustment unit is connected to the growth monitoring unit;

[0096] The optimization unit is used to optimize the adjustment process of the crop state according to the root length of the crop within the monitoring period, and the optimization unit is connected to the adjustment unit.

[0097] Specifically, the soilless crop growth monitoring system described in this embodiment is applied to the production monitoring of spinach planted in aerosol culture in a greenhouse. The present invention analyzes the growth stage of crops, analyzes the environmental state and the crop state according to the analysis results, and then controls the illumination and atomization frequency, thereby improving the efficiency of agricultural growth monitoring.

[0098] Specifically, the image analysis unit performs grayscale value analysis on the crop images within the monitoring period;

[0099] The image analysis unit compares the crop image grayscale value G(i) within the monitoring period with the preset distinction grayscale value G1, and classifies the pixel point according to the comparison result, wherein:

[0100] When G(i)≥G1, the image analysis unit determines that the pixel point is a leaf pixel point;

[0101] When G(i)<G1, the image analysis unit determines that the pixel point is a non-leaf pixel point;

[0102] The image analysis unit counts the number N1 of leaf pixels in the crop image within the monitoring period, and calculates the average grayscale value Gary of the leaf pixels, and sets Gary=[g(1)+g(2)+...+g(N1)] / N1;

[0103] Where G(i) is the grayscale value of the i-th pixel in the crop image during the monitoring period, i = 1, 2...N, N is the number of pixels in the crop image, g(1) is the grayscale value of the first leaf pixel, g(2) is the grayscale value of the second leaf pixel, and g(N1) is the grayscale value of the N1-th leaf pixel.

[0104] Specifically, the image analysis unit divides the crop images into leaf pixels and non-leaf pixels by performing grayscale value analysis on the crop images within the monitoring period, thereby improving the accuracy of the analysis of the crop growth stage, and further improving the accuracy of the analysis of the environmental state and the crop state, thereby improving the accuracy of the analysis of the abnormal growth state of the crop, and ultimately improving the efficiency of agricultural growth monitoring; in this embodiment, there is no specific limitation on the value of the preset distinction grayscale value G1, and technical personnel in this field can set it freely, as long as the value requirement of the preset distinction grayscale value G1 is met, such as the preset distinction grayscale value G1 can be set to 100.

[0105] Specifically, the stage analysis unit compares the average grayscale value Gary of the leaf pixels with each preset grayscale value, and analyzes the growth stage of the crop according to the comparison result, wherein:

[0106] When Gary<g1, the stage analysis unit determines that the growth stage of the crop is the seedling stage;

[0107] When g1≤Gary<g2, the stage analysis unit determines that the crop growth stage is the vegetative growth stage;

[0108] When Gary≥g2, the stage analysis unit determines that the crop growth stage is the reproductive growth stage;

[0109] Wherein, g1 is a first preset grayscale value, g2 is a second preset grayscale value, and g1<g2.

[0110] Specifically, the stage analysis unit improves the accuracy of the analysis of the crop growth stage by analyzing the crop growth stage, thereby improving the accuracy of the analysis of the environmental state and the crop state, thereby improving the accuracy of the analysis of the abnormal growth state of the crop, and ultimately improving the efficiency of agricultural growth monitoring; in this embodiment, there is no specific limitation on the values ​​of the first preset grayscale value g1 and the second preset grayscale value g2, and technical personnel in this field can set them freely as long as the value requirements of the first preset grayscale value g1 and the second preset grayscale value g2 are met. For example, the first preset grayscale value g1 can be set to 128, and the second preset grayscale value g2 can be set to 156.

[0111] Specifically, the greenhouse environment analysis unit calculates the environmental factor α according to the average temperature t and the average humidity s during the monitoring period, and sets α=|tT| / T×a1+(sS) / S×a2;

[0112] Where T is the suitable temperature value, S is the humidity threshold, a1 is the temperature anomaly weight, a2 is the humidity anomaly weight, and a1+a2=1;

[0113] The greenhouse environment analysis unit environmental factor α is compared with the environmental factor threshold A, and the abnormal state of the greenhouse environment is analyzed according to the comparison result, wherein:

[0114] When α<A, the greenhouse environment analysis unit determines that the abnormal state of the greenhouse environment within the monitoring period is normal;

[0115] When α≥A, the greenhouse environment analysis unit determines that the abnormal state of the greenhouse environment within the monitoring period is abnormal.

[0116] Specifically, the greenhouse environment analysis unit analyzes the environment inside the greenhouse by calculating environmental factors, and analyzes the abnormal state of the greenhouse environment according to the analysis results, thereby improving the accuracy of the environmental state analysis, and then improving the accuracy of the air abnormal state analysis, thereby improving the accuracy of the abnormal growth state analysis of crops, and ultimately improving the efficiency of agricultural growth monitoring; in this embodiment, the value of the environmental factor threshold A is not specifically limited, and technical personnel in this field can set it freely, as long as the value requirements of the environmental factor threshold A are met, such as the environmental factor threshold A can be set to 0.5.

[0117] Specifically, the air analysis unit analyzes the abnormal state of air within the monitoring period according to the carbon dioxide concentration and oxygen concentration within the monitoring period;

[0118] The air analysis unit analyzes the abnormal state of the air within the monitoring period according to the analysis result of the abnormal state of the greenhouse environment within the monitoring period, wherein:

[0119] When the greenhouse environment abnormal state is abnormal, the air analysis unit determines that the air abnormal state within the monitoring period is abnormal;

[0120] When the abnormal state of the greenhouse environment is normal, the air analysis unit calculates the air impact factor β according to the carbon dioxide concentration ρ(CO2) and the oxygen concentration ρ(O2) during the monitoring period, and sets β=[ρ(CO2)-C1] / C1+[ρ(O2)-C2] / C2; if β<B, the air analysis unit determines that the abnormal state of the air during the monitoring period is normal; if β≥B, the air analysis unit determines that the abnormal state of the air during the monitoring period is abnormal;

[0121] Among them, B is the air impact factor threshold, C1 is the preset carbon dioxide concentration, and C2 is the preset oxygen concentration.

[0122] Specifically, the air analysis unit analyzes the abnormal air state within the monitoring period according to the analysis results of the carbon dioxide concentration, oxygen concentration and abnormal state of the greenhouse environment within the monitoring period, thereby improving the accuracy of the analysis of the abnormal air state, and then improving the accuracy of the environmental state analysis, thereby improving the accuracy of the analysis of the abnormal growth state of crops, and ultimately improving the efficiency of agricultural growth monitoring; in this embodiment, no specific limitation is made on the values ​​of the air impact factor threshold B, the preset carbon dioxide concentration C1 and the preset oxygen concentration C2. Technical personnel in this field can set them freely, as long as the value requirements of the air impact factor threshold B, the preset carbon dioxide concentration C1 and the preset oxygen concentration C2 are met. For example, the air impact factor threshold B can be set to 0.7, the preset carbon dioxide concentration C1 can be set to 1500ppm, and the preset oxygen concentration C2 can be set to 190000ppm.

[0123] Specifically, the environmental state analysis unit analyzes the environmental state according to the abnormal air state analysis results, crop growth stage analysis results and aeroponic parameters within the monitoring period, wherein:

[0124] When the abnormal air state is normal and the crop growth stage is the seedling stage, if μ<μ1, the environmental state analysis unit determines that the environmental state within the monitoring period is abnormal; if μ1≤μ<μ2, the environmental state analysis unit determines that the environmental state within the monitoring period is normal; if μ≥μ2, the environmental state analysis unit determines that the environmental state within the monitoring period is abnormal;

[0125] When the abnormal air state is normal and the crop growth stage is the vegetative growth stage, if μ<μ2, the environmental state analysis unit determines that the environmental state within the monitoring period is abnormal; if μ2≤μ<μ3, the environmental state analysis unit determines that the environmental state within the monitoring period is normal; if μ≥μ3, the environmental state analysis unit determines that the environmental state within the monitoring period is abnormal;

[0126] When the abnormal air state is normal and the crop growth stage is the reproductive growth stage, if μ<μ3, the environmental state analysis unit determines that the environmental state within the monitoring period is abnormal; if μ3≤μ<μ4, the environmental state analysis unit determines that the environmental state within the monitoring period is normal; if μ≥μ4, the environmental state analysis unit determines that the environmental state within the monitoring period is abnormal;

[0127] When the air abnormality state is abnormal, the environmental state analysis unit determines that the environmental state within the monitoring period is abnormal;

[0128] Among them, μ is the atomization frequency of the atomization system during the monitoring period, μ1 is the first preset atomization frequency, μ2 is the second preset atomization frequency, μ3 is the third preset atomization frequency, μ4 ​​is the fourth preset atomization frequency, and μ1<μ2<μ3<μ4.

[0129] Specifically, the environmental state analysis unit analyzes the environmental state according to the abnormal air state analysis results, the crop growth stage analysis results and the fog cultivation parameters within the monitoring period, thereby improving the accuracy of the environmental state analysis, thereby improving the accuracy of the abnormal growth state analysis of crops, and ultimately improving the efficiency of agricultural growth monitoring; it can be understood that in this embodiment, the values ​​of the first preset atomization frequency μ1, the second preset atomization frequency μ2, the third preset atomization frequency μ3 and the fourth preset atomization frequency μ4 are not specifically limited, and technical personnel in this field can set them freely, as long as the value requirements of the first preset atomization frequency μ1, the second preset atomization frequency μ2, the third preset atomization frequency μ3 and the fourth preset atomization frequency μ4 are met, such as μ1=1.7MHz, μ2=1.9MHz, μ3=2.1MHz, μ4=2.4MHz can be set.

[0130] Specifically, the growth monitoring unit analyzes the crop status according to the chlorophyll concentration y and the crop growth stage analysis results within the monitoring period, wherein:

[0131] When the crop growth stage is the seedling stage, if y<Y1, the growth monitoring unit determines that the crop state is normal within the monitoring period, and if y≥Y1, the growth monitoring unit determines that the crop state is abnormal within the monitoring period;

[0132] When the crop growth stage is the vegetative growth stage, if y<Y2, the growth monitoring unit determines that the crop state is normal within the monitoring period; if y≥Y2, the growth monitoring unit determines that the crop state is abnormal within the monitoring period;

[0133] When the crop growth stage is the reproductive growth stage, if y<Y3, the growth monitoring unit determines that the crop state is normal within the monitoring period; if y≥Y3, the growth monitoring unit determines that the crop state is abnormal within the monitoring period;

[0134] Among them, Y1 is the chlorophyll concentration threshold in the seedling stage, Y2 is the chlorophyll concentration threshold in the vegetative growth stage, and Y3 is the chlorophyll concentration threshold in the reproductive growth stage, and Y1<Y2<Y3.

[0135] Specifically, the growth monitoring unit analyzes the crop status according to the chlorophyll concentration y and the crop growth stage analysis results within the monitoring period, thereby improving the accuracy of the crop status analysis, thereby improving the accuracy of the abnormal growth status analysis of the crops, and ultimately improving the efficiency of agricultural growth monitoring; in this embodiment, there is no specific limitation on the values ​​of the chlorophyll concentration threshold Y1 in the seedling stage, the chlorophyll concentration threshold Y2 in the vegetative growth stage, and the chlorophyll concentration threshold Y3 in the reproductive growth stage. Technical personnel in this field can set them freely, and only need to meet the value requirements of the chlorophyll concentration threshold Y1 in the seedling stage, the chlorophyll concentration threshold Y2 in the vegetative growth stage, and the chlorophyll concentration threshold Y3 in the reproductive growth stage, such as Y1=30SPAD, Y2=40SPAD, and Y3=50SPAD.

[0136] Specifically, the adjustment unit calculates the leaf area ratio v according to the number of leaf pixels N1 in the monitoring period, and sets v=N1 / N;

[0137] The adjustment unit compares the leaf area ratio v with the preset area ratio, and adjusts the analysis result of the crop state according to the comparison result, wherein:

[0138] When the crop growth stage is the reproductive growth stage, if v<V1, the adjustment unit determines that the leaf area ratio is abnormal, and adjusts the chlorophyll concentration threshold of the seedling stage to Y1', setting Y1'=Y1×[1+(V1-v) / V1]; if v≥V1, the adjustment unit determines that the leaf area ratio is normal and does not make any adjustment;

[0139] When the crop growth stage is the reproductive growth stage, if v<V2, the adjustment unit determines that the leaf area ratio is abnormal, and adjusts the chlorophyll concentration threshold of the vegetative growth stage to Y2', setting Y2'=Y2×[1+(V2-v) / V2]; if v≥V2, the adjustment unit determines that the leaf area ratio is normal and does not make any adjustment;

[0140] When the crop growth stage is the reproductive growth stage, if v<V3, the adjustment unit determines that the leaf area ratio is abnormal, and adjusts the chlorophyll concentration threshold of the reproductive growth stage to Y3', setting Y3'=Y3×[1+(V3-v) / V3]; if v≥V3, the adjustment unit determines that the leaf area ratio is normal and does not make any adjustment;

[0141] Among them, V1 is the first preset blade area ratio, V2 is the second preset blade area ratio, V3 is the third preset blade area ratio, and V1<V2<V3.

[0142] Specifically, the adjustment unit analyzes the crop status according to the chlorophyll concentration y and the crop growth stage analysis results during the monitoring period, thereby improving the accuracy of the crop status analysis, thereby improving the accuracy of the abnormal growth status analysis of the crops, and ultimately improving the efficiency of agricultural growth monitoring; in this embodiment, there is no specific limitation on the values ​​of the first preset leaf area ratio V1, the second preset leaf area ratio V2 and the third preset leaf area ratio V3, and technical personnel in this field can set them freely, as long as the value requirements of the first preset leaf area ratio V1, the second preset leaf area ratio V2 and the third preset leaf area ratio V3 are met, such as V1=0.3, V2=0.5, V3=0.7 can be set.

[0143] Specifically, the optimization unit compares the root length h of the crop within the monitoring period with the root length threshold L, and optimizes the adjustment process of the crop state according to the comparison result, wherein:

[0144] When h<L, the optimization unit determines that the root length is abnormal within the monitoring period, optimizes the leaf area ratio to v', and sets v'=v×{1-arctan[(Lh) / L]};

[0145] When h≥L, the optimization unit determines that the root length is normal within the monitoring period and does not perform optimization.

[0146] Specifically, the adjustment unit optimizes the adjustment process of the crop state according to the root length of the crops during the monitoring period, thereby improving the accuracy of the crop state analysis, thereby improving the accuracy of the abnormal growth state analysis of the crops, and ultimately improving the efficiency of agricultural growth monitoring; in this embodiment, there is no specific limitation on the value of the root length threshold L, and technical personnel in this field can set it freely, as long as the value requirement of the root length threshold L is met, such as the root length threshold L can be set to 2 cm.

[0147] Specifically, the abnormal analysis module analyzes the abnormal growth state of crops according to the crop state analysis results, environmental state analysis results and historical cultivation information within the monitoring period, wherein:

[0148] When the environmental state is normal and the crop state is normal, the abnormality analysis module determines that the abnormal growth state of the crop within the monitoring period is normal;

[0149] When the environmental state is normal and the crop state is abnormal, if W>W2, the abnormal analysis module determines that the abnormal growth state of the crops during the monitoring period is a high light abnormality; if W<W1, the abnormal analysis module determines that the abnormal growth state of the crops during the monitoring period is a low light abnormality; if W1≤W<W2, the abnormal analysis module determines that the abnormal growth state of the crops during the monitoring period is an environmental abnormality;

[0150] When the environmental state is abnormal and the crop state is normal, the abnormality analysis module determines that the abnormal growth state of the crop within the monitoring period is normal;

[0151] When the environmental state is abnormal and the crop state is abnormal, if W1≤W<W2, the abnormality analysis module determines that the abnormal growth state of the crops during the monitoring period is an environmental abnormality; if W<W1, the abnormality analysis module determines that the abnormal growth state of the crops during the monitoring period is a low light abnormality; if W>W2, the abnormality analysis module determines that the abnormal growth state of the crops during the monitoring period is a high light abnormality;

[0152] Wherein, W is the average light intensity during the monitoring period, W1 is the first preset light intensity, W2 is the second preset light intensity, and W1<W2.

[0153] Specifically, the abnormal analysis module analyzes the abnormal growth status of crops according to the crop status analysis results, environmental status analysis results and historical cultivation information within the monitoring period, thereby improving the accuracy of the abnormal growth status analysis of crops and ultimately improving the efficiency of agricultural growth monitoring; it can be understood that in this embodiment, the values ​​of the first preset light intensity W1 and the second preset light intensity W2 are not specifically limited, and technical personnel in this field can freely set them, such as setting W1=4000l x and W2=7000l x.

[0154] Specifically, the cultivation management module controls the aeroponic system for the next monitoring period according to the abnormal growth state analysis results and historical cultivation information within the monitoring period, wherein:

[0155] When the abnormal growth state of the crop is normal, the first management unit does not adjust the aeroponic system in the next monitoring cycle;

[0156] When the abnormal growth state of the crop is a high light abnormality, the first management unit sets the fill light illumination intensity of the next monitoring period to Ws1, and sets Ws1 = [Ws-(W-W2)] × (W-W2) / (W2-W1) × ln(1+α+β);

[0157] When the abnormal growth state of the crop is low light abnormality, the first management unit sets the supplementary light intensity of the next monitoring cycle to Ws2, and sets Ws2 = [Ws + (W1-W)] × (W1-W) / (W2-W1) × ln (1 + α + β);

[0158] When the abnormal growth state of the crop is an abnormal environment, the first management unit sets the atomization frequency of the next monitoring period to D, and sets D=d×exp(α×β);

[0159] Among them, Ws is the fill light illumination intensity during the monitoring period, and d is the atomization frequency during the current monitoring period.

[0160] Specifically, the cultivation management module controls the light intensity and atomization frequency of the next monitoring cycle according to the abnormal growth status analysis results and historical cultivation information within the monitoring cycle, thereby improving the accuracy of controlling the light intensity and atomization frequency of the next monitoring cycle and thus the efficiency of agricultural growth monitoring.

[0161] Specifically, the management update module updates the control process of the aeroponic system in the next growth cycle according to the yield r of the crops in the growth cycle, wherein:

[0162] When r<R, the management update module determines that the crop yield in the growth cycle is low, and updates the supplementary light intensity in the next monitoring cycle to Wsj', where j=1,2, and sets Wsj'=Wsj×cos[(Rr) / R];

[0163] When r≥R, the management and update module determines that the crop yield within the growth cycle is normal and does not update;

[0164] Among them, R is the preset output.

[0165] Specifically, the management update module improves the accuracy of controlling the light intensity and atomization frequency in the next monitoring period, thereby improving the efficiency of agricultural growth monitoring, by updating the control process of the mist cultivation system in the next growth period. In this embodiment, there is no specific limitation on the method for obtaining the preset yield R, and technical personnel in this field can set it freely, as long as the requirements for obtaining the preset yield R are met, such as the historical yield average value can be used as the preset yield R.

[0166] 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. A soilless crop growth monitoring system, characterized in that: include, An information acquisition module is used to obtain crop growth data, environmental data, aeroponic parameters and crop images within the monitoring period; A stage analysis module is used to analyze the growth stage of crops based on crop images within the monitoring period; The environmental status analysis module is used to analyze the abnormal status of the greenhouse environment according to the greenhouse data within the monitoring period, and analyze the environmental status according to the abnormal status analysis results of the greenhouse environment, air data, crop growth stage analysis results and aeroponics parameters; Growth monitoring module, used to analyze the status of crops according to the chlorophyll concentration and stage analysis results during the monitoring period, and to adjust the analysis process of crop status according to the leaf area ratio and crop root length; The abnormal analysis module is used to analyze the abnormal growth status of crops according to the crop status analysis results and environmental status analysis results within the monitoring period; The cultivation management module is used to control the light intensity and atomization frequency of the next monitoring period according to the analysis results of abnormal growth status in the monitoring period; A management update module is used to update the control process of the next growth cycle according to the yield of crops in the growth cycle; The environmental state analysis module is provided with a greenhouse environmental analysis unit, and the greenhouse environmental analysis unit is used to calculate the environmental factor α according to the average temperature t and the average humidity s in the monitoring period, and set α=|tT| / T×a1+(sS) / S×a2; Where T is the suitable temperature value, S is the humidity threshold, a1 is the temperature anomaly weight, a2 is the humidity anomaly weight, and a1+a2=1; The greenhouse environment analysis unit compares the environmental factor α with the environmental factor threshold A, and analyzes the abnormal state of the greenhouse environment according to the comparison result, wherein: When α<A, the greenhouse environment analysis unit determines that the abnormal state of the greenhouse environment within the monitoring period is normal; When α≥A, the greenhouse environment analysis unit determines that the abnormal state of the greenhouse environment within the monitoring period is abnormal; The environmental state analysis module is further provided with an air analysis unit, which is used to analyze the abnormal state of air within the monitoring period according to the carbon dioxide concentration and oxygen concentration within the monitoring period; The air analysis unit analyzes the abnormal state of the air within the monitoring period according to the analysis result of the abnormal state of the greenhouse environment within the monitoring period, wherein: When the greenhouse environment abnormal state is abnormal, the air analysis unit determines that the air abnormal state within the monitoring period is abnormal; When the abnormal state of the greenhouse environment is normal, the air analysis unit calculates the air impact factor β according to the carbon dioxide concentration ρ (CO2) and the oxygen concentration ρ (O2) during the monitoring period, and sets β=[ρ(CO2)-C1] / C1+[ρ(O2)-C2] / C2; if β<B, the air analysis unit determines that the abnormal state of the air during the monitoring period is normal; if β≥B, the air analysis unit determines that the abnormal state of the air during the monitoring period is abnormal; Among them, B is the air impact factor threshold, C1 is the preset carbon dioxide concentration, and C2 is the preset oxygen concentration; The environmental state analysis module is further provided with an environmental state analysis unit, which is used to analyze the environmental state according to the abnormal air state analysis results, the crop growth stage analysis results and the aeroponics parameters within the monitoring period, wherein: When the abnormal air state is normal and the crop growth stage is the seedling stage, if μ<μ1, the environmental state analysis unit determines that the environmental state within the monitoring period is abnormal; if μ1≤μ<μ2, the environmental state analysis unit determines that the environmental state within the monitoring period is normal; if μ≥μ2, the environmental state analysis unit determines that the environmental state within the monitoring period is abnormal; When the abnormal air state is normal and the crop growth stage is the vegetative growth stage, if μ<μ2, the environmental state analysis unit determines that the environmental state within the monitoring period is abnormal; if μ2≤μ<μ3, the environmental state analysis unit determines that the environmental state within the monitoring period is normal; if μ≥μ3, the environmental state analysis unit determines that the environmental state within the monitoring period is abnormal; When the abnormal air state is normal and the crop growth stage is the reproductive growth stage, if μ<μ3, the environmental state analysis unit determines that the environmental state within the monitoring period is abnormal; if μ3≤μ<μ4, the environmental state analysis unit determines that the environmental state within the monitoring period is normal; if μ≥μ4, the environmental state analysis unit determines that the environmental state within the monitoring period is abnormal; When the air abnormality state is abnormal, the environmental state analysis unit determines that the environmental state within the monitoring period is abnormal; Among them, μ is the atomization frequency of the atomization system during the monitoring period, μ1 is the first preset atomization frequency, μ2 is the second preset atomization frequency, μ3 is the third preset atomization frequency, μ4 ​​is the fourth preset atomization frequency, and μ1<μ2<μ3<μ4.

2. A soilless crop growth monitoring system according to claim 1, characterized in that: The stage analysis module is provided with an image analysis unit, and the image analysis unit is used to perform gray value analysis on the crop image within the monitoring period; The image analysis unit compares the crop image grayscale value G(i) within the monitoring period with the preset distinction grayscale value G1, and classifies the pixels according to the comparison result, wherein: When G(i)≥G1, the image analysis unit determines that the pixel point is a leaf pixel point; When G(i)<G1, the image analysis unit determines that the pixel point is a non-leaf pixel point; The image analysis unit counts the number N1 of leaf pixels in the crop image within the monitoring period, and calculates the average grayscale value Gray of the leaf pixels, setting Gray=[g(1)+g(2)+...+g(N1)] / N1; Where G(i) is the grayscale value of the i-th pixel in the crop image during the monitoring period, i=1,2...N, N is the number of pixels in the crop image, g(1) is the grayscale value of the first leaf pixel, g(2) is the grayscale value of the second leaf pixel, and g(N1) is the grayscale value of the N1-th leaf pixel.

3. A soilless crop growth monitoring system according to claim 2, characterized in that: The stage analysis module is further provided with a stage analysis unit, which is used to compare the average gray value Gray of the leaf pixels with each preset gray value, and analyze the crop growth stage according to the comparison result, wherein: When Gray<g1, the stage analysis unit determines that the crop growth stage is the seedling stage; When g1≤Gray<g2, the stage analysis unit determines that the crop growth stage is the vegetative growth stage; When Gray≥g2, the stage analysis unit determines that the crop growth stage is the reproductive growth stage; Wherein, g1 is a first preset grayscale value, g2 is a second preset grayscale value, and g1<g2.

4. A soilless crop growth monitoring system according to claim 3, characterized in that: The growth monitoring module is provided with a growth monitoring unit, which is used to analyze the state of the crops according to the chlorophyll concentration y and the crop growth stage analysis results within the monitoring period, wherein: When the crop growth stage is the seedling stage, if y<Y1, the growth monitoring unit determines that the crop state is normal within the monitoring period, and if y≥Y1, the growth monitoring unit determines that the crop state is abnormal within the monitoring period; When the crop growth stage is the vegetative growth stage, if y<Y2, the growth monitoring unit determines that the crop state is normal within the monitoring period; if y≥Y2, the growth monitoring unit determines that the crop state is abnormal within the monitoring period; When the crop growth stage is the reproductive growth stage, if y<Y3, the growth monitoring unit determines that the crop state is normal within the monitoring period; if y≥Y3, the growth monitoring unit determines that the crop state is abnormal within the monitoring period; Among them, Y1 is the chlorophyll concentration threshold in the seedling stage, Y2 is the chlorophyll concentration threshold in the vegetative growth stage, and Y3 is the chlorophyll concentration threshold in the reproductive growth stage, and Y1<Y2<Y3; The growth monitoring module is further provided with an adjustment unit, which calculates the leaf area ratio v according to the number of leaf pixels N1 in the monitoring period, and sets v=N1 / N; The adjustment unit is used to compare the leaf area ratio v with the preset area ratio, and adjust the analysis result of the crop state according to the comparison result, wherein: When the crop growth stage is the seedling stage, if v<V1, the adjustment unit determines that the leaf area ratio is abnormal, and adjusts the chlorophyll concentration threshold of the seedling stage to Y1', setting Y1'=Y1×[1+(V1-v) / V1]; if v≥V1, the adjustment unit determines that the leaf area ratio is normal and does not make adjustments; When the crop growth stage is the vegetative growth stage, if v<V2, the adjustment unit determines that the leaf area ratio is abnormal, and adjusts the chlorophyll concentration threshold of the vegetative growth stage to Y2', setting Y2'=Y2×[1+(V2-v) / V2]; if v≥V2, the adjustment unit determines that the leaf area ratio is normal and does not make any adjustment; When the crop growth stage is the reproductive growth stage, if v<V3, the adjustment unit determines that the leaf area ratio is abnormal, and adjusts the chlorophyll concentration threshold of the reproductive growth stage to Y3', setting Y3'=Y3×[1+(V3-v) / V3]; if v≥V3, the adjustment unit determines that the leaf area ratio is normal and does not make adjustments; Wherein, V1 is the first preset blade area, V2 is the second preset blade area, V3 is the third preset blade area, and V1<V2<V3; The growth monitoring module is further provided with an optimization unit, which is used to compare the root length h of the crop within the monitoring period with the root length threshold L, and optimize the adjustment process of the crop state according to the comparison result, wherein: When h<L, the optimization unit determines that the root length is abnormal within the monitoring period, optimizes the leaf area ratio to v', and sets v'=v×{1-arctan[(Lh) / L]}; When h≥L, the optimization unit determines that the root length is normal within the monitoring period and does not perform optimization.

5. A soilless crop growth monitoring system according to claim 4, characterized in that: The abnormality analysis module analyzes the abnormal growth state of crops according to the crop state analysis results and the environmental state analysis results within the monitoring period, wherein: When the environmental state is normal and the crop state is normal, the abnormality analysis module determines that the abnormal growth state of the crop within the monitoring period is normal; When the environmental state is normal and the crop state is abnormal, if W>W2, the abnormal analysis module determines that the abnormal growth state of the crops during the monitoring period is a high light abnormality; if W<W1, the abnormal analysis module determines that the abnormal growth state of the crops during the monitoring period is a low light abnormality; if W1≤W<W2, the abnormal analysis module determines that the abnormal growth state of the crops during the monitoring period is an environmental abnormality; When the environmental state is abnormal and the crop state is normal, the abnormality analysis module determines that the abnormal growth state of the crop within the monitoring period is normal; When the environmental state is abnormal and the crop state is abnormal, if W1≤W<W2, the abnormality analysis module determines that the abnormal growth state of the crops during the monitoring period is an environmental abnormality; if W<W1, the abnormality analysis module determines that the abnormal growth state of the crops during the monitoring period is a low light abnormality; if W>W2, the abnormality analysis module determines that the abnormal growth state of the crops during the monitoring period is a high light abnormality; Wherein, W is the average light intensity during the monitoring period, W1 is the first preset light intensity, W2 is the second preset light intensity, and W1<W2.

6. A soilless crop growth monitoring system according to claim 5, characterized in that: The cultivation management module controls the illumination intensity and atomization frequency of the next monitoring period according to the abnormal growth state analysis results and historical cultivation information within the monitoring period, wherein: When the abnormal growth state of the crop is normal, the cultivation management module does not adjust the aeroponic system in the next monitoring cycle; When the abnormal growth state of the crop is high light abnormality, the cultivation management module sets the supplementary light intensity of the next monitoring cycle to Ws1, and sets Ws1=[Ws-(W-W2)]×(W-W2) / (W2-W1)×ln(1+α+β); When the abnormal growth state of the crop is low light abnormality, the cultivation management module sets the supplementary light intensity of the next monitoring cycle to Ws2, and sets Ws2=[Ws+(W1-W)]×(W1-W) / (W2-W1)×ln(1+α+β); When the abnormal growth state of the crop is an abnormal environment, the cultivation management module sets the atomization frequency of the next monitoring period to D, and sets D=d×exp(α×β); Among them, Ws is the fill light illumination intensity during the monitoring period, and d is the atomization frequency during the current monitoring period.

7. A soilless crop growth monitoring system according to claim 6, characterized in that: The management update module updates the control process of the next growth cycle according to the yield r of the crop in the growth cycle, wherein: When r<R, the management update module determines that the crop yield in the growth cycle is low, and updates the supplementary light intensity in the next monitoring cycle to Wsj', where j=1,2, and sets Wsj'=Wsj×cos[(Rr) / R]; When r≥R, the management and update module determines that the crop yield within the growth cycle is normal and does not update; Among them, R is the preset output.

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