Seedling raising monitoring method and system for agricultural greenhouse

Abstract

The invention discloses a seedling raising monitoring method and system for an agricultural greenhouse, and relates to the field of automatic control systems.The seedling raising monitoring method for the agricultural greenhouse comprises the steps that an image of a target area is obtained, a first object is judged, and a first object judgment result is obtained; if the first object exists, segmenting and extracting the first object to obtain a first object image; performing first object parameter calculation based on the first object image to obtain a first object parameter calculation result; based on the first object parameter calculation result, the stage of the first object is judged, and a judgment result of the stage of the first object is obtained; and generating a control signal according to the judgment result of the stage of the first object, so that the execution unit adjusts the environmental parameters according to the control signal. According to the invention, the growth state of the seedlings can be monitored in real time, and the required environment parameters can be controlled according to the growth state of the seedlings, so that the automation and intelligence of seedling cultivation are improved.

Description

Technical Field

[0001] The invention relates to the field of automatic control systems, and in particular to a seedling monitoring method and system for agricultural greenhouses. Background Art

[0002] With the continuous development of modern agricultural technology, smart greenhouses have been widely used as efficient and precise agricultural production facilities. Smart greenhouses are equipped with various advanced sensors and actuators to achieve full automation and information management of agricultural production links such as ventilation, temperature control, humidity control, irrigation, and fertilization. This intelligent agricultural planting technology not only greatly reduces labor costs, but also significantly improves production efficiency, and promotes the development of agriculture towards unmanned and automated directions.

[0003] However, in the process of raising seedlings in smart greenhouses, the existing technology still has some shortcomings. At present, smart greenhouses mainly ensure that the environmental conditions in the greenhouse are suitable for seedling growth by real-time monitoring and adjustment of environmental parameters. Although this regulation method based on environmental parameter monitoring can meet the basic needs of seedling growth to a certain extent, it ignores the different needs of seedlings for environmental conditions at different growth stages.

[0004] In fact, during the seedling raising process, seedlings will go through multiple different growth stages from sowing to seedling maturity. At each stage, the seedlings have different requirements for environmental conditions such as light, temperature, humidity, water and nutrients. However, the existing smart greenhouses cannot accurately judge the growth stage of seedlings, and therefore cannot automatically adjust the environmental conditions in the greenhouse according to the actual growth needs of the seedlings.

[0005] This situation means that in the actual seedling raising process, people still need to rely on human experience to judge the growth stage of the seedlings and adjust the relevant parameters of the greenhouse accordingly. This method not only increases the labor intensity, but also may cause the environmental conditions in the greenhouse to fail to meet the optimal requirements for seedling growth due to errors in human judgment, thus affecting the growth quality and production efficiency of the seedlings. Summary of the invention

[0006] Therefore, in order to solve the above-mentioned shortcomings, the present invention monitors the height, width and leaf area of ​​the seedlings in real time during the seedling cultivation process, and can judge the growth stage of the seedlings by the height, width and leaf area of ​​the seedlings, thereby improving the judgment accuracy. At the same time, the growth environment parameters required for the seedlings can be adjusted according to the growth stage of the seedlings, thereby realizing the automation and intelligence of seedling cultivation.

[0007] On the one hand, the present invention provides a method for monitoring seedlings in an agricultural greenhouse, comprising: Acquire a target area image, perform first object judgment, and obtain a first object judgment result, wherein the first object is a seedling; If the first object exists, segmenting and extracting the first object to obtain an image of the first object; Calculate the first object parameters based on the first object image to obtain a first object parameter calculation result; Based on the calculation result of the first object parameter, the stage of the first object is judged to obtain the judgment result of the stage of the first object; A control signal is generated according to the determination result of the stage of the first object, so that the execution unit adjusts the environmental parameters according to the control signal.

[0008] Further, the calculating the first object parameter based on the first object image to obtain the first object parameter calculation result includes: Extract and match the first feature point of the first object image to obtain coordinate information of the first feature point, calculate the height of the first feature point according to the coordinate information of the first feature point to obtain a calculation result of the height of the first feature point, and calculate the height of the first object according to the calculation result of the height of the first feature point to obtain a calculation result of the height of the first object; Extracting and matching second feature points from the first object image to obtain coordinate information of the second feature points, and calculating the width of the first object according to the coordinate information of the second feature points to obtain a calculation result of the width of the first object; Extract and match the third feature points of the first object image, obtain the coordinate information of the third feature points, count the number of the third feature points, calculate the area of ​​the first object preset region based on the coordinate information of the third feature points and the number of the third feature points, and obtain the calculation result of the area of ​​the first object preset region.

[0009] Furthermore, the calculating the first object parameter based on the first object image to obtain the first object parameter calculation result also includes: Correction calculations are performed on the first object width calculation result, the first object height calculation result, and the first object preset region area calculation result to obtain first object width correction calculation results, first object height correction calculation results, and first object preset region area correction calculation results.

[0010] Furthermore, judging the state of the first object based on the calculation result of the first object parameter to obtain the first object state judgment result further includes: The state matching result of the first object is performed on the first object width correction calculation result, the first object height correction calculation result and the first object preset region area correction calculation result, so as to obtain the state matching result of the first object.

[0011] Furthermore, judging the state of the first object based on the calculation result of the first object parameter to obtain the first object state judgment result further includes: Based on the state judgment result of the first object, calculate the current state ratio of the first object to obtain the current state ratio calculation result of the first object; The calculation result of the current state ratio of the first object is matched with the stage of the first object to obtain a matching result of the stage of the first object.

[0012] Furthermore, judging the state of the first object based on the calculation result of the first object parameter to obtain the first object state judgment result further includes: Matching the environmental parameters required by the first object with the matching result of the stage where the first object is located, to obtain a matching result of the environmental parameters required by the first object; A control signal is generated according to a matching result of the environmental parameters required by the first object in the current state, so that the execution unit adjusts the corresponding environmental parameters according to the control signal.

[0013] On the other hand, the present invention provides a seedling monitoring system for an agricultural greenhouse, including a monitoring unit, which acquires an image of a target area, performs a first object judgment, and obtains a first object judgment result; if a first object exists, segments and extracts the first object to obtain a first object image; calculates first object parameters based on the first object image to obtain a first object parameter calculation result; based on the first object parameter calculation result, judges the stage of the first object to obtain a first object stage judgment result; and generates a control signal according to the first object stage judgment result.

[0014] Furthermore, the monitoring unit includes: Data acquisition module, acquiring the target area image; An image processing module performs a first object judgment on the target area image to obtain a first object judgment result, and if the first object exists, segments and extracts the first object to obtain a first object image; A data calculation module, which calculates a first object parameter based on the first object image to obtain a first object parameter calculation result; A seedling state judgment module judges the stage of the first object based on the calculation result of the first object parameter, and obtains the judgment result of the stage of the first object; The execution control module generates a control signal according to a judgment result of the stage of the first object, so that the execution unit adjusts the environmental parameters according to the control signal.

[0015] The present invention has the following advantages: The height, width and leaf area of ​​the seedlings in the seedling raising process can be monitored in real time by the present invention, and the growth stage of the seedlings can be judged by the height, width and leaf area of ​​the seedlings, thereby improving the judgment accuracy. At the same time, the growth environment parameters required for the seedlings can be adjusted according to the growth stage of the seedlings, thereby realizing the automation and intelligence of seedling cultivation. At the same time, the present embodiment can make the judgment result more accurate by correcting the calculation result. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a flow chart of the seedling monitoring method; Figure 2 It is a logical structure diagram of the seedling monitoring system; Figure 3 yes Figure 2 The structural schematic diagram of the information collection unit in the seedling monitoring system shown; Figure 4 yes Figure 2 The schematic diagram of the logical structure of the monitoring unit in the seedling monitoring system shown; Figure 5 yes Figure 2 The structural schematic diagram of the execution unit in the seedling monitoring system shown; Figure 6 It is a structural diagram of the seedling greenhouse; Figure 7 yes Figure 6 The structural schematic diagram of the seedling raising frame in the seedling raising greenhouse shown; Figure 8 yes Figure 7 The schematic diagram of the internal structure of the seedling rack shown; Fig. 9 yes Figure 7 The structural schematic diagram of the seedling box in the seedling rack shown; Fig.10 yes Figure 5 A schematic diagram of the structure of the humidity adjustment module in the execution unit shown; Fig.11 yes Fig.10 The internal structure diagram of the humidity adjustment module is shown; Fig.12 yes Fig.11 A schematic diagram of the structure of a water tank in the humidity adjustment module shown; Fig.13 yes Fig.10 The schematic diagram of the connection between the humidity regulating module and the seedling rack is shown; In the figure: 1000, information acquisition unit; 1100, image acquisition module; 1200, light sensing module; 1300, humidity sensing module; 1400, soil parameter detection module; 1500, temperature sensing module; 1600, carbon dioxide concentration sensing module; 2000, Remote Monitoring Platform; 3000, monitoring unit; 3100, data acquisition module; 3200, parameter monitoring module; 3300, image processing module; 3400, data calculation module; 3500, execution control module; 3600, seedling status judgment module; 4000, database; 5000, execution unit; 5100, temperature adjustment module; 5200, humidity adjustment module; 5210, first air outlet; 5220, second air outlet; 5230, air inlet; 5240, drying unit; 5250, humidification unit; 5260, water spray unit; 5270, first fan; 5280, second fan; 5290, water tank; 5291, box; 5292, liquid level sensor; 5293, water pump; 5294, drainage pipe; 5300, irrigation module; 5310, irrigation pipe; 5400, ventilation module; 5500, lighting module; 6000, seedling rack; 6100, frame; 6110, seedling layer; 6200, seedling box; 6210, plug tray; 6211, plug hole; 6300, air outlet duct; 6400, first air duct; 6500, second air duct; 6600, air inlet duct; 7000. Shed. DETAILED DESCRIPTION

[0017] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0018] In this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprises", or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or apparatus that includes a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article, or apparatus.

[0019] As described in the background technology, in the actual seedling raising process, it is still necessary to rely on human experience to judge the growth stage of the seedlings and adjust the relevant parameters of the greenhouse accordingly. This method not only increases the labor intensity, but also may cause the environmental conditions in the greenhouse to fail to meet the optimal requirements for seedling growth due to errors in human judgment, thereby affecting the growth quality and production efficiency of the seedlings.

[0020] Based on the above reasons, the present invention provides the following embodiments.

[0021] Embodiment 1: like Figure 1 As shown, this embodiment provides a seedling monitoring method for an agricultural greenhouse, comprising: S100: Acquire a target area image, perform first object judgment, and obtain a first object judgment result; S200: If the first object exists, segment and extract the first object to obtain a first object image; S300: Calculating a first object parameter based on a first object image to obtain a first object parameter calculation result; S400: judging the stage of the first object based on the calculation result of the first object parameter, and obtaining the judgment result of the stage of the first object; S500: generating a control signal according to a determination result of the stage of the first object, so that the execution unit adjusts the environmental parameters according to the control signal; In this embodiment, the first object parameter calculation is performed based on the first object image to obtain the first object parameter calculation result, including: Extract and match the first feature point of the first object image to obtain coordinate information of the first feature point, calculate the height of the first feature point according to the coordinate information of the first feature point to obtain a calculation result of the height of the first feature point, and calculate the height of the first object according to the calculation result of the height of the first feature point to obtain a calculation result of the height of the first object; Specifically, the height of the first feature point is calculated as follows: ; in, h n is the height of the first feature point, in millimeters; H 1 The installation height of the image acquisition module, in millimeters; A n is the vertical length of the image acquisition module from the first feature point, in millimeters; H 3 It is the height from the planting tray to the ground in millimeters.

[0022] The height calculation result of the first feature point is obtained by the above calculation method, and the height of the first object is calculated based on the first feature point calculation result. The specific calculation method is as follows: ; in, H is the height of the first object in millimeters; n is the number of the first feature points.

[0023] Obtaining the height data of the first object by the above calculation method; Extracting and matching second feature points from the first object image to obtain coordinate information of the second feature points, and calculating the width of the first object according to the coordinate information of the second feature points to obtain a calculation result of the width of the first object; Specifically, the first object width is solved by an aggregation function, and the average value of the maximum horizontal distance of the second feature point and the maximum vertical distance of the second feature point is taken as the calculation result of the first object width.

[0024] Example: The calculation method is as follows: ; in, B The calculated result of the first object width, in millimeters; B 1 is the maximum horizontal distance of the second feature point, in millimeters; B 2 is the maximum longitudinal distance of the second feature point, in millimeters; The maximum lateral distance of the second feature point B 1 The calculation method is as follows: ; in, x m , x n is the horizontal coordinate of the second feature point at different positions; The maximum longitudinal distance of the second feature point B 2 The calculation method is as follows: ; in, y m , y n is the ordinate of the second feature point at different positions; The first object width data is obtained through the above calculation method.

[0025] Extracting and matching third feature points from the first object image, obtaining coordinate information of the third feature points, counting the number of the third feature points, calculating the area of ​​the first object preset region according to the coordinate information of the third feature points and the number of the third feature points, and obtaining a calculation result of the area of ​​the first object preset region; Specifically, the area of ​​the preset region of the first object is calculated as follows: ; Wherein, A is the area of ​​the preset region of the first object, in square millimeters; x i , x i-1 is the horizontal coordinate of the third feature point at different positions; y i , y i-1 is the ordinate of the third feature point at different positions; i is the number of the third feature points.

[0026] The area of ​​the preset region of the first object is obtained through the above calculation method.

[0027] Perform correction calculation on the first object width calculation result, the first object height calculation result, and the first object preset region area calculation result to obtain the first object width correction calculation result, the first object height correction calculation result, and the first object preset region area correction calculation result; Specifically, the correction calculation is performed as follows: ; in, C 1 The calculation result of the width of the first object, the calculation result of the height of the first object, or the calculation result of the area of ​​the preset region of the first object; C according to C 1 The selections are, in order, a first object width correction calculation result, a first object height correction calculation result, or a first object preset region area correction calculation result; λ is the correction factor, which is determined after a large number of experiments.

[0028] The step of judging the state of the first object based on the first object parameter calculation result to obtain the first object state judgment result includes: Obtaining a state-parameter comparison data table of the first object from a database; Matching the first object width correction calculation result, the first object height correction calculation result, and the first object preset region area correction calculation result with the first object state-parameter comparison data table to obtain a state matching result of the first object; Based on the state judgment result of the first object, calculate the current state ratio of the first object to obtain the current state ratio calculation result of the first object; Specifically, the current state ratio of the first object is calculated as follows: ; in D The current state ratio calculation result of the first object; e j is the number of the first object in the current state; E is the total number of first objects.

[0029] A comparison data table of the first object state ratio and the first object stage is obtained from the database, and the first object stage is matched with the calculation result of the current state ratio of the first object to obtain a matching result of the first object stage.

[0030] A data table corresponding to the first object stage and environmental parameters is obtained from the database, and the environmental parameters required by the first object are matched with the matching result of the stage of the first object to obtain the matching result of the environmental parameters required by the first object.

[0031] Finally, according to the matching result of the environmental parameters required by the first object in the current state, a control signal is generated, so that the execution unit adjusts the corresponding environmental parameters according to the control signal, so that the actual environmental parameters fall within the preset environmental parameter range.

[0032] In this embodiment, the first object is a seedling, the width of the first object is the plant width of the seedling, the height of the first object is the plant height, and the area of ​​the preset area of ​​the first object is the leaf area; the first feature point is a preset position point on the seedling; the second feature point is an edge point of the first object; and the third feature point is an edge point of the preset area of ​​the first object.

[0033] In this embodiment, the extraction and matching of the first feature point, the second feature point, and the third feature point are all achieved through the YOLACT-RFX model and the LoFTR feature matching algorithm.

[0034] Through this embodiment, the height, width and leaf area of ​​the seedlings in the seedling raising process can be monitored in real time, and the growth stage of the seedlings can be judged by the height, width and leaf area of ​​the seedlings, thereby improving the judgment accuracy. At the same time, the growth environment parameters required for the seedlings can be adjusted according to the growth stage of the seedlings, thereby realizing the automation and intelligence of seedling cultivation. At the same time, this embodiment can make the judgment result more accurate by correcting the calculation result.

[0035] Embodiment 2: In order to implement the seedling monitoring method for agricultural greenhouses described in Example 1, Figure 2As shown, this embodiment provides a seedling monitoring system for an agricultural greenhouse, comprising: An information acquisition unit 1000, which is used to acquire an image of a target area; The monitoring unit 3000 acquires an image of the target area, performs first object judgment, and obtains a first object judgment result; if the first object exists, the first object is segmented and extracted to obtain a first object image; first object parameters are calculated based on the first object image to obtain a first object parameter calculation result; based on the first object parameter calculation result, the stage of the first object is judged to obtain a first object stage judgment result; and a control signal is generated according to the first object stage judgment result; Database 4000, used for storing standard data comparison tables; The execution unit 5000 adjusts the environmental parameters according to the control signal; like Figure 2 As shown, the information acquisition unit includes an image acquisition module 1100, which is used to acquire an image of a target area; like Figure 4 As shown, the monitoring unit 3000 includes: Data acquisition module 3100, acquiring target area image; The image processing module 3300 performs a first object judgment on the target area image to obtain a first object judgment result, and if the first object exists, the first object is segmented and extracted to obtain a first object image; A data calculation module 3400 performs first object parameter calculation based on the first object image to obtain a first object parameter calculation result; The seedling state judgment module 3600 judges the stage of the first object based on the calculation result of the first object parameter, and obtains the judgment result of the stage of the first object; The execution control module 3500 generates a control signal according to the judgment result of the stage of the first object, so that the execution unit adjusts the environmental parameters according to the control signal; Through the seedling monitoring system recorded in this embodiment, the growth status of the seedlings can be monitored in real time, and the parameters of the environment required by the seedlings can be controlled according to the growth status of the seedlings, thereby improving the automation and intelligence of seedling cultivation.

[0036] In this embodiment, the standard data comparison table includes a first object state-parameter comparison data table, a first object state ratio-first object stage comparison data table, and a first object stage-environmental parameter corresponding data table; In this embodiment, the first object parameter calculation is performed based on the first object image to obtain the first object parameter calculation result, including: Extract and match the first feature point of the first object image to obtain coordinate information of the first feature point, calculate the height of the first feature point according to the coordinate information of the first feature point to obtain a calculation result of the height of the first feature point, and calculate the height of the first object according to the calculation result of the height of the first feature point to obtain a calculation result of the height of the first object; Specifically, the height of the first feature point is calculated as follows: ; in, h n is the height of the first feature point, in millimeters; H 1 The installation height of the image acquisition module, in millimeters; A n is the vertical length of the image acquisition module from the first feature point, in millimeters; H 3 It is the height from the planting tray to the ground in millimeters.

[0037] The height calculation result of the first feature point is obtained by the above calculation method, and the height of the first object is calculated based on the first feature point calculation result. The specific calculation method is as follows: ; in, H is the height of the first object in millimeters; n is the number of the first feature points.

[0038] Obtaining the height data of the first object by the above calculation method; Extracting and matching second feature points from the first object image to obtain coordinate information of the second feature points, and calculating the width of the first object according to the coordinate information of the second feature points to obtain a calculation result of the width of the first object; Specifically, the first object width is calculated as follows: ; in, B The calculated result of the first object width, in millimeters; B 1 is the maximum horizontal distance of the second feature point, in millimeters; B 2 is the maximum longitudinal distance of the second feature point, in millimeters; The maximum lateral distance of the second feature point B 1 The calculation method is as follows: ; in, x m ,x n is the horizontal coordinate of the second feature point at different positions; The maximum longitudinal distance of the second feature point B 2 The calculation method is as follows: ; in, y m , y n is the ordinate of the second feature point at different positions; The first object width data is obtained through the above calculation method.

[0039] Extracting and matching third feature points from the first object image, obtaining coordinate information of the third feature points, counting the number of the third feature points, calculating the area of ​​the first object preset region according to the coordinate information of the third feature points and the number of the third feature points, and obtaining a calculation result of the area of ​​the first object preset region; Specifically, the area of ​​the preset region of the first object is calculated as follows: ; Wherein, A is the area of ​​the preset region of the first object, in square millimeters; x i , x i-1 is the horizontal coordinate of the third feature point at different positions; y i , y i-1 is the ordinate of the third feature point at different positions; i is the number of the third feature points.

[0040] The area of ​​the preset region of the first object is obtained through the above calculation method.

[0041] Perform correction calculation on the first object width calculation result, the first object height calculation result, and the first object preset region area calculation result to obtain the first object width correction calculation result, the first object height correction calculation result, and the first object preset region area correction calculation result; Specifically, the correction calculation is performed as follows: ; in, C 1 The calculation result of the width of the first object, the calculation result of the height of the first object, or the calculation result of the area of ​​the preset region of the first object; C according to C 1The selections are, in order, a first object width correction calculation result, a first object height correction calculation result, or a first object preset region area correction calculation result; λ is the correction factor, which is determined after a large number of experiments.

[0042] The step of judging the state of the first object based on the first object parameter calculation result to obtain the first object state judgment result includes: Obtaining a state-parameter comparison data table of the first object from a database; Matching the first object width correction calculation result, the first object height correction calculation result, and the first object preset region area correction calculation result with the first object state-parameter comparison data table to obtain a state matching result of the first object; Based on the state judgment result of the first object, calculate the current state ratio of the first object to obtain the current state ratio calculation result of the first object; Specifically, the current state ratio of the first object is calculated as follows: ; in D The current state ratio calculation result of the first object; e j is the number of the first object in the current state; E is the total number of first objects.

[0043] A comparison data table of the first object state ratio and the first object stage is obtained from the database, and the first object stage is matched with the calculation result of the current state ratio of the first object to obtain a matching result of the first object stage.

[0044] A data table corresponding to the first object stage and environmental parameters is obtained from the database, and the environmental parameters required by the first object are matched with the matching result of the stage of the first object to obtain the matching result of the environmental parameters required by the first object.

[0045] Finally, according to the matching result of the environmental parameters required by the first object in the current state, a control signal is generated, so that the execution unit adjusts the corresponding environmental parameters according to the control signal, so that the actual environmental parameters fall within the preset environmental parameter range.

[0046] In this embodiment, the first object is a seedling, the width of the first object is the plant width of the seedling, the height of the first object is the plant height, and the area of ​​the preset area of ​​the first object is the leaf area; the first feature point is a preset position point on the seedling; the second feature point is an edge point of the first object; and the third feature point is an edge point of the preset area of ​​the first object.

[0047] In this embodiment, the extraction and matching of the first feature point, the second feature point, and the third feature point are all achieved through the YOLACT-RFX model and the LoFTR feature matching algorithm.

[0048] In addition, if Figure 2 As shown, the seedling monitoring system may further include a remote monitoring platform 2000, which may obtain the first object parameter calculation result and the first object state judgment result, and output the first object parameter calculation result and the first object state judgment result to a display window.

[0049] In this embodiment, if Figure 5 As shown, the execution unit includes: The temperature adjustment module 5100 is used to increase or decrease the temperature of the environment where the first object is located according to the control signal; A humidity adjustment module 5200, configured to adjust the humidity of the environment in which the first object is located according to the control signal; The irrigation module 5300 is used to irrigate the soil in the environment where the first object is located with water and fertilizer according to the control signal to adjust the soil parameters; The ventilation module 5400 is used to control the air circulation of the environment where the first object is located according to the control signal; The illumination module 5500 is used to adjust the illumination intensity of the environment where the first object is located according to the control signal.

[0050] Through this embodiment, the height, width and leaf area of ​​the seedlings in the seedling raising process can be monitored in real time, and the growth stage of the seedlings can be judged by the height, width and leaf area of ​​the seedlings, thereby improving the judgment accuracy. At the same time, the growth environment parameters required for the seedlings can be adjusted according to the growth stage of the seedlings, thereby realizing the automation and intelligence of seedling cultivation. At the same time, this embodiment can make the judgment result more accurate by correcting the calculation result.

[0051] Embodiment 3: In order to achieve real-time monitoring of seedling environmental parameters, such as Figure 3 As shown, the information collection unit may also include: The light sensing module 1200 is used to collect light intensity data of the environment where the first object is located; The humidity sensing module 1300 is used to collect air humidity data of the environment where the first object is located; A soil parameter detection module 1400 is used to collect soil parameter data of the environment where the first object is located, wherein the soil parameter data includes data such as soil moisture and organic matter content; The temperature sensing module 1500 is used to collect temperature data of the environment where the first object is located; The carbon dioxide concentration sensor module 1600 is used to collect carbon dioxide concentration data of the environment in which the first object is located.

[0052] In this embodiment, if Figure 4 As shown, the monitoring unit may further include a parameter monitoring module 3200, through which the environmental parameters are obtained, and based on the current state of the first object, the environmental parameters are compared with the first object stage-environmental parameter corresponding data table to obtain parameter comparison results, and the parameter comparison results are transmitted to the execution control module, so that the execution control module generates a control signal and sends it to the execution unit; Exemplarily, if the first object is in the growth stage, in the first object stage-environmental parameter corresponding data table, one of the environmental parameters corresponding to the growth stage is the relative air humidity of 70%±5%. If the parameter monitoring module obtains the air humidity data collected by the humidity sensing module as 80%, the parameter comparison result is that the real-time air humidity is greater than the standard air humidity of the first object in the current stage. The execution control module obtains the parameter comparison result, generates a control signal and sends it to the humidity adjustment module to reduce the air humidity in the environment where the first object is located.

[0053] Embodiment 4: This embodiment provides a seedling greenhouse adapted to the seedling monitoring system described in Embodiments 2 and 3, such as Figure 6 As shown, the seedling greenhouse includes a greenhouse body 7000, in which at least one group of seedling racks 6000 are accommodated, and a temperature regulating module 5100 and a ventilation module are provided on the outside of the greenhouse body. The temperature inside the greenhouse is regulated by the temperature regulating module, and the air flow inside the greenhouse is driven by the ventilation module.

[0054] like Figure 7-Figure 9 As shown, the seedling raising frame may include: Frame 6100, such as Figure 8 As shown, the frame 6100 has a plurality of seedling raising layers 6110 distributed vertically and linearly; Seedling box 6200, such as Fig. 9 As shown, a plug tray 6210 is provided in the upper part of the seedling box, and a plurality of plug holes are provided on the surface of the plug tray. The bottom of the plug tray can accommodate a limited amount of seedling substrate; like Figure 8 As shown, the seedling box as a whole can be placed in the seedling layer, and an image acquisition module and a lighting module are provided on the top of the seedling layer; An irrigation pipe 5310 is provided in the middle of the seedling raising layer, and the irrigation pipe is connected to the water-fertilizer integrated device of the irrigation module.

[0055] Embodiment 5: This embodiment provides a technical solution for a humidity adjustment module. Fig.10 and Fig.11As shown, the humidity adjustment module includes: An air inlet 5230, the air inlet 5230 is connected to a first air duct 6400, and the first air duct is connected to the seedling raising layer through a plurality of air outlet ducts 6300; A humidifying unit 5250, wherein the humidifying unit is provided with at least one group, and at least one group of the humidifying units is installed in a first air duct, and the first air duct is connected to the air inlet; A first fan 5270, the first fan being in communication with the first air duct; A drying section 5240, wherein the drying section is provided with at least one group, and at least one group of the drying sections is installed in a second air duct, and the second air duct is connected to the air inlet; A second fan 5280, the second fan is connected to the second air duct; A first air outlet 5210, the first air outlet is connected to a first fan; A second air outlet 5220, the second air outlet is connected to a second fan; The first air outlet and the second air outlet are connected to the second air duct 6500, and the second air duct is connected to the seedling raising layer through a plurality of air inlet pipes 6600; Air valves are provided in the plurality of air outlet ducts and the plurality of air inlet ducts; When the humidity in the seedling raising layer needs to be increased, the first fan is operated to drive the air flow, and the air in the seedling raising layer is extracted, and the air passes through the air outlet duct and the first air duct in sequence, and enters the first air duct, and after the air is humidified by the humidifying part in the first air duct, it is input into the seedling raising layer through the second air duct and the air inlet duct in sequence, so as to increase the air humidity in the seedling raising layer; Similarly, when it is necessary to reduce the humidity in the seedling layer, the second fan is operated to drive the air flow, draw the air in the seedling layer out, pass through the air outlet duct and the first air duct in turn, enter the second air duct, dry the air through the drying part in the second air duct, and then pass through the second air duct and the air inlet duct in turn into the seedling layer, so as to reduce the air humidity in the seedling layer.

[0056] In this embodiment, if Fig.11 As shown, the humidity adjustment module may further include: A water tank 5290, through which water is provided to the humidifying unit; A water spraying part 5260, which is arranged above the humidifying part; like Fig.12 As shown, the water tank shown includes: A box 5291, wherein the box can contain a limited amount of water, and a drainage pipe 5294 is provided at the bottom of the box, and a valve is provided in the drainage pipe; A liquid level sensor 5292, which is disposed in the box; A water pump 5293 is disposed in the housing, communicated with the housing, and connected with the water spraying part through a water spraying pipe.

[0057] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A seedling monitoring method for an agricultural greenhouse, characterized in that: include: Acquire a target area image, perform first object judgment, and obtain a first object judgment result, wherein the first object is a seedling; If the first object exists, segmenting and extracting the first object to obtain an image of the first object; Calculate the first object parameters based on the first object image to obtain a first object parameter calculation result; Based on the calculation result of the first object parameter, the stage of the first object is judged to obtain the judgment result of the stage of the first object; A control signal is generated according to the determination result of the stage of the first object, so that the execution unit adjusts the environmental parameters according to the control signal.

2. A method for monitoring seedlings in an agricultural greenhouse according to claim 1, characterized in that: The step of calculating the first object parameter based on the first object image to obtain the first object parameter calculation result includes: Extract and match the first feature point of the first object image to obtain coordinate information of the first feature point, calculate the height of the first feature point according to the coordinate information of the first feature point to obtain a calculation result of the height of the first feature point, and calculate the height of the first object according to the calculation result of the height of the first feature point to obtain a calculation result of the height of the first object; Extracting and matching second feature points from the first object image to obtain coordinate information of the second feature points, and calculating the width of the first object according to the coordinate information of the second feature points to obtain a calculation result of the width of the first object; Extract and match the third feature points of the first object image, obtain the coordinate information of the third feature points, count the number of the third feature points, calculate the area of ​​the first object preset region based on the coordinate information of the third feature points and the number of the third feature points, and obtain the calculation result of the area of ​​the first object preset region.

3. A method for monitoring seedlings in an agricultural greenhouse according to claim 2, characterized in that: The calculating the first object parameter based on the first object image to obtain the first object parameter calculation result also includes: Correction calculations are performed on the first object width calculation result, the first object height calculation result, and the first object preset region area calculation result to obtain first object width correction calculation results, first object height correction calculation results, and first object preset region area correction calculation results.

4. A method for monitoring seedling cultivation in an agricultural greenhouse according to claim 3, characterized in that: The step of judging the state of the first object based on the first object parameter calculation result to obtain the first object state judgment result further includes: The state matching result of the first object is performed on the first object width correction calculation result, the first object height correction calculation result and the first object preset region area correction calculation result, so as to obtain the state matching result of the first object.

5. A method for monitoring seedling cultivation in an agricultural greenhouse according to claim 4, characterized in that: The step of judging the state of the first object based on the first object parameter calculation result to obtain the first object state judgment result further includes: Based on the state judgment result of the first object, calculate the current state ratio of the first object to obtain the current state ratio calculation result of the first object; The calculation result of the current state ratio of the first object is matched with the stage of the first object to obtain a matching result of the stage of the first object.

6. A method for monitoring seedling cultivation in an agricultural greenhouse according to claim 5, characterized in that: The step of judging the state of the first object based on the first object parameter calculation result to obtain the first object state judgment result further includes: Matching the environmental parameters required by the first object with the matching result of the stage where the first object is located, to obtain a matching result of the environmental parameters required by the first object; A control signal is generated according to a matching result of the environmental parameters required by the first object in the current state, so that the execution unit adjusts the corresponding environmental parameters according to the control signal.

7. A seedling monitoring system for agricultural greenhouses, characterized in that: Used to implement a seedling monitoring method for an agricultural greenhouse as claimed in any one of claims 1 to 6, the monitoring system comprises a monitoring unit, the monitoring unit acquires an image of a target area, performs a first object judgment, and obtains a first object judgment result; If the first object exists, segmenting and extracting the first object to obtain an image of the first object; Calculate the first object parameters based on the first object image to obtain the first object parameter calculation result; determine the stage of the first object based on the first object parameter calculation result to obtain the first object stage determination result; A control signal is generated according to a determination result of the stage of the first object.

8. A seedling monitoring system for agricultural greenhouses according to claim 7, characterized in that: The monitoring unit comprises: Data acquisition module, acquiring the target area image; An image processing module performs a first object judgment on the target area image to obtain a first object judgment result, and if the first object exists, segments and extracts the first object to obtain a first object image; A data calculation module, which calculates a first object parameter based on the first object image to obtain a first object parameter calculation result; A seedling state judgment module judges the stage of the first object based on the calculation result of the first object parameter, and obtains the judgment result of the stage of the first object; The execution control module generates a control signal according to a judgment result of the stage of the first object, so that the execution unit adjusts the environmental parameters according to the control signal.

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