Digital seedling raising monitoring system and method

Abstract

The invention provides a digital seedling raising monitoring system and method, and belongs to the field of intelligent manufacturing equipment, and the system comprises an integrated monitoring device which is used for obtaining the data of key growth factors of a digital incubator in real time through a sensor network, and transmitting the data of the key growth factors to a central control device; the X mobile ray machine is used for acquiring growth data of plant root systems and tubers in the digital cultivation box in real time and sending the growth data to the central control device; the operation monitor is used for sending an adjusting instruction to the central control device; the digital cultivation box is used for providing a growth environment for the plants; and the central control device is used for correspondingly adjusting the integrated monitoring device according to the adjusting instruction so as to ensure that the growth data of the key growth factors and the plant root systems and tubers are maintained in a preset range. The system provided by the invention ensures that the seedlings grow and develop according to various preset targets.

Description

Technical Field

[0001] The present application belongs to the field of intelligent manufacturing equipment, and specifically relates to a digital seedling monitoring system and method. Background Art

[0002] At present, traditional seedling raising methods rely on manual observation and recording, which is not only labor-intensive and time-consuming, but also prone to errors due to human factors. Especially in the seedling raising stage, slight changes in environmental conditions may seriously affect the growth of plants. In traditional methods, seedling raisers need to constantly adjust parameters such as lighting and fertilization to ensure the normal growth of seedlings, but due to the lack of efficient digital tool support, this process is often difficult to achieve the best results, especially in large-scale seedling raising operations, this method of relying on experience and manual operation is particularly insufficient. Summary of the invention

[0003] Based on the above technical problems, the present application proposes a digital seedling monitoring system and method, which realizes real-time monitoring and intelligent regulation of the seedling environment.

[0004] In a first aspect, the present application proposes a digital seedling monitoring system, comprising: a central control device, an X-ray mobile machine, an integrated monitoring device, an operation monitor, and a digital incubator;

[0005] The central control device is connected to the X-ray mobile machine, the integrated monitoring device, and the operation monitor respectively;

[0006] The integrated monitoring device is used to obtain the data of key growth factors of the digital incubator in real time through the sensor network, and send the data of key growth factors to the central control device;

[0007] The X-ray mobile machine is used to obtain the growth data of the plant roots and tubers in the digital incubator in real time, and send the growth data to the central control device;

[0008] The operation monitor is used to send adjustment instructions to the central control device;

[0009] The digital cultivation box is a glass box used to provide a growth environment for plants;

[0010] The central control device is used to make corresponding adjustments to the sensor network of the integrated monitoring device according to the adjustment instructions to ensure that the key growth factors and the growth data of the plant roots and tubers are maintained within a preset range.

[0011] The key growth factors include: temperature, humidity, light intensity, carbon dioxide concentration, pH value and matrix nutrient elements.

[0012] The X-ray mobile machine includes: an X-ray scanner, a motor and a guide rail;

[0013] The motor is connected to an X-ray scanner, and the X-ray scanner is mounted on a guide rail;

[0014] The motor is used to drive the X-ray scanner to move on the guide rail;

[0015] The X-ray scanner is used to digitize the X-ray images of plant roots and tubers in the incubator during movement, and to send the X-ray images to the central control device;

[0016] The guide rail is used to provide a sliding track for the X-ray scanner.

[0017] The integrated monitoring device comprises: a composite gas input control module, an integrated soil monitoring module, a soil matrix adjustment module, a light intensity control module, a carbon dioxide concentration gas and flow control module and an internal gas circuit;

[0018] The composite gas input control module is used to input composite gas into the digital incubator according to the specified time and the preset gas input amount in the adjustment instruction sent by the central control device;

[0019] The integrated soil monitoring module is used to obtain the performance indicators of the soil in the digital incubator and send the performance indicators of the soil to the central control device;

[0020] The soil matrix adjustment module is used to provide the digital incubator with a soil matrix nutrient solution of a preset concentration in the adjustment instruction;

[0021] The light intensity control module is used to provide the digital incubator with a preset light intensity in an adjustment instruction;

[0022] The carbon dioxide concentration and airflow control module is connected to the composite gas input control module through an internal gas path, and is used to provide the digital incubator with a preset carbon dioxide concentration in the adjustment instruction;

[0023] The internal gas circuit provides a gas circuit loop for the input composite gas of the composite gas input control module and the carbon dioxide in the carbon dioxide concentration and airflow control module.

[0024] The carbon dioxide concentration and airflow control module is provided with an exhaust hole and an exhaust fan. By starting the exhaust fan, carbon dioxide is discharged from the digital incubator through the internal air path and from the exhaust hole to reduce the carbon dioxide concentration in the digital incubator.

[0025] The operation monitor and the central control device are connected via a self-organizing network composed of a LoRa gateway and a LoRa terminal, and the adjustment instruction is sent to the central control device via the self-organizing network.

[0026] The composite gas input control module, the integrated soil monitoring module, the soil matrix adjustment module, the light intensity control module, and the carbon dioxide concentration gas and flow control module respectively include independent local controllers. When the central control device is disconnected from the integrated monitoring device, the independent local controllers are used to control the composite gas input control module, the integrated soil monitoring module, the soil matrix adjustment module, the light intensity control module, and the carbon dioxide concentration gas and flow control module respectively.

[0027] The central control device is also used to analyze the collected data on key growth factors and growth data on plant roots and tubers, compare them with the parameters of the corresponding period in the database, obtain new adjustment instructions, and send the new adjustment instructions to the integrated monitoring device.

[0028] In the second aspect, the present application proposes a digital seedling monitoring method, comprising:

[0029] Use an operation monitor to send adjustment instructions to a central control device;

[0030] The central control device makes corresponding adjustments to the integrated monitoring device according to the adjustment instructions to ensure that the key growth factors and the growth data of the plant roots and tubers are maintained within the preset range;

[0031] An integrated monitoring device is used to obtain the data of key growth factors of the digital incubator in real time, and the data of key growth factors are sent to the central control device;

[0032] An X-ray machine is used to obtain the growth data of plant roots and tubers in the digital incubator in real time, and the growth data is sent to a central control device.

[0033] Beneficial effects:

[0034] The present application proposes a digital seedling monitoring system and method, which combines modern seedling facilities with the Internet of Things and big data technologies, and innovatively applies ground-penetrating non-destructive three-dimensional imaging technology to collect, transmit and analyze data on various factors affecting seedling growth, such as temperature, humidity, and light, in real time. It also combines images of each stage of seedling growth with parameter comparison analysis in the database, and timely issues and adjusts various growth factors such as temperature and humidity to ensure that the seedlings grow and develop according to pre-set goals. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 A schematic diagram of a digital seedling monitoring system according to an embodiment of the present application;

[0036] Figure 2 A front view of a digital seedling monitoring system according to an embodiment of the present application;

[0037] Figure 3 A schematic diagram of an X-ray scanner according to an embodiment of the present application;

[0038] Figure 4 This is a front schematic diagram of an integrated monitoring device according to an embodiment of the present application;

[0039] Figure 5 This is a schematic diagram of the back side of the integrated monitoring device according to an embodiment of the present application;

[0040] Among them, 1-central control device, 2-X-ray mobile machine, 3-integrated monitoring device, 4-operation monitor, 5-digital incubator, 6-X-ray scanner, 7-motor, 8-guide rail, 3-1 composite gas input control module, 3-2 integrated soil monitoring module, 3-3 soil matrix adjustment module, 3-4 light intensity control module 3-4, 3-5 carbon dioxide concentration gas and flow control module, 3-6 internal gas circuit. DETAILED DESCRIPTION

[0041] The specific implementation of the present application is further described in detail below in conjunction with the drawings and examples.

[0042] There are also some seedling boxes in the prior art, but they are all for achieving real-time monitoring and intelligent regulation of the seedling environment.

[0043] For example, a technical solution in the prior art is: a new type of seedling raising box, including a box body and a box cover, wherein the box body is provided with a plurality of groups of regularly arranged seed holes, and the bottom hole wall of the seed hole is provided with drainage holes; the seed hole is also provided with a seedling starter, and the seedling starter includes a filter at the bottom, a support connector on the side, and a handle at the top, wherein the filter is placed at the bottom of the seed hole, and the shape of the filter corresponds to the size of the hole wall at the bottom of the seed hole, the - side of the support connector is against the side wall of the seed hole, the bottom of the support connector is connected to the filter, and the upper part of the support connector is connected to the handle extending out of the seed hole. The new type of seedling raising box does not need to be used with a finished seedling raising block, is suitable for loose soil seedling raising, reduces production costs, is easy to start seedlings, does not accumulate water, and has a good seedling raising effect.

[0044] Since this device has drainage holes at the bottom of the seed hole, some fine soil particles may be lost with the water during watering, thus affecting the structure of the soil around the seeds and causing an unstable environment for seed germination. Secondly, although the design of the seedling opener makes transplanting more convenient, the seedling opener needs to be manually installed and disassembled for each sowing, which may increase the workload and time consumption during the seedling raising process. Finally, since there is a complex structure inside the seed hole (such as supporting connectors), it may make it more difficult to clean the seedling box after use.

[0045] The present application does not have drainage holes at the bottom, but can still achieve the effect of preventing water accumulation, because the present application can monitor and intelligently control the temperature and humidity environment in the seedling cultivation in real time.

[0046] In addition, there is another solution in the prior art: a fully CNC track-type seedling raising device, which is composed of a box, a base, a control component, a seedling raising system and an environmental adjustment system. The seedling raising system is composed of a seedling raising rack, a track car, a track, a seedling raising lamp and an automatic nutrient solution replenishment component. The environmental adjustment system includes an induced draft duct, an air supply duct, an induced draft fan, an air supply fan, etc.; it has the characteristics of ensuring that the indoor temperature, humidity and CQ2 concentration remain consistent, and meeting the requirements of the light source intensity at different growth stages of crop seedlings, and has the characteristics of less equipment investment, lower use cost and easy operation. It is a fully enclosed multi-layer seedling raising facility indoors or outdoors, which can be used for vegetable, fruit and tobacco seedlings, as well as flower and tree seedlings, and can also be used for seedling raising during grain crop planting.

[0047] Although the existing technology provides a series of advanced seedling solutions, it is also accompanied by a series of potential disadvantages. First, although the system design is flexible and the environmental parameters can be adjusted according to different crops, frequent changes in seedling varieties still require adjustment of system settings, which reduces operational flexibility. Secondly, the device lacks efficient digital tools, and the environmental adjustment system needs to be dynamically adjusted according to the growth status of the seedlings. However, the device can only maintain a certain degree of stability in temperature, humidity and gas concentration, and cannot be flexibly adjusted according to actual conditions. Finally, although the closed seedling environment can effectively isolate external pollution sources, it also increases the risk of concentrated outbreaks of pests and diseases. Once an epidemic occurs, it may spread rapidly and have a serious impact on seedling cultivation.

[0048] The seedling raising system of the present application can simultaneously collect real-time data on temperature, humidity, light intensity, carbon dioxide concentration, pH value, and substrate nutrient elements, and can perform real-time monitoring, and can dynamically adjust according to the growth status of the seedlings.

[0049] The technical problem to be solved by this application is to provide a digital seedling monitoring system and method, aiming to overcome the multiple defects existing in traditional seedling raising methods. Traditional seedling raising methods rely on manual observation and recording, which is not only labor-intensive and time-consuming, but also very prone to errors due to human factors, especially in the seedling raising stage, where slight changes in environmental conditions may seriously affect the growth of sweet potatoes. In traditional methods, seedling raisers need to constantly adjust parameters such as lighting and fertilization to ensure the normal growth of sweet potato seedlings, but due to the lack of efficient digital tool support, this process is often difficult to achieve optimal results, especially in large-scale seedling raising operations, where this method of relying on experience and manual operation is particularly insufficient.

[0050] In order to solve these problems, this application proposes a digital seedling monitoring system and method, which realizes real-time monitoring and intelligent regulation of the seedling environment by introducing modern information technology, such as the Internet of Things, big data analysis and image recognition technology. The system can automatically collect data on key growth factors such as soil nutrients, humidity, and light intensity, and predict and optimize the growth status of plant seedlings through data analysis, adjust the seedling environment in time, and avoid undesirable growth phenomena such as "empty mounds" or "empty trees", thereby greatly improving the yield and quality of seedlings.

[0051] In addition, this application is also committed to reducing labor costs, improving seedling efficiency, and ensuring that plant seedlings mature according to the preset optimal growth curve through intelligent seedling facilities, such as smart greenhouses, plant protection drones, and precision drip irrigation systems. The use of digital seedling technology can not only effectively solve the various drawbacks of traditional seedling cultivation, but also significantly enhance the controllability and predictability of the seedling cultivation process, achieving the goal of increasing production and income.

[0052] In short, this application aims to comprehensively improve the technical level of seedling cultivation through digital and intelligent means, and fundamentally solve the problems of low efficiency, high cost, unstable yield, etc. in traditional seedling cultivation. Now, through the central control device of the environment, the digital seedling box, the integrated monitoring device and the mobile X-ray machine, the seedling environment (for example: sweet potato seedlings, tubers) is digitally controlled, and the development of the tubers is observed through the X-ray machine; by comparing the growth conditions of the tubers under different environments, a set of key data information is obtained.

[0053] Embodiment 1:

[0054] This embodiment provides a digital seedling monitoring system. Figure 1 , Figure 2 As shown, it includes: a central control device 1, an X-ray mobile machine 2, an integrated monitoring device 3, an operation monitor 4 and a digital incubator 5;

[0055] The central control device 1 is connected to the X-ray mobile machine 2, the integrated monitoring device 3, and the operation monitor 4 respectively;

[0056] The integrated monitoring device 3 is used to obtain the data of the key growth factors of the digital incubator 5 in real time through the sensor network, and send the data of the key growth factors to the central control device 1;

[0057] The X-ray mobile machine 2 is used to obtain the growth data of the plant roots and tubers in the digital incubator 5 in real time, and send the growth data to the central control device 1;

[0058] The operation monitor 4 is used to send adjustment instructions to the central control device 1;

[0059] The digital cultivation box 5 is a glass box, which is used to provide a growth environment for plants;

[0060] The central control device 1 is used to make corresponding adjustments to the sensor network of the integrated monitoring device 3 according to the adjustment instructions to ensure that the key growth factors and the growth data of the plant roots and tubers are maintained within a preset range.

[0061] The key growth factors include: temperature, humidity, light intensity, carbon dioxide concentration, pH value and matrix nutrient elements.

[0062] In this embodiment, a digital seedling monitoring system is a highly integrated system, mainly composed of a central control device 1, an X-ray machine 2, an integrated monitoring device 3, an operation monitor 4 and a digital incubator 5. These components work together to ensure the accuracy and efficiency of the entire device during the seedling raising process.

[0063] The integrated monitoring device is a comprehensive system platform that integrates multiple functional modules for efficient monitoring and control of the environment. The central control device is the core module that can coordinate and manage the operation of other modules, including receiving monitoring data, processing information and sending control instructions. The integrated soil monitoring module is responsible for monitoring various parameters of the soil (such as pH value, humidity, nutrients, etc.) and transmitting the data to the control module. The soil matrix adjustment module optimizes the soil environment (such as adjusting pH value or humidity) by adjusting physical or chemical methods according to the data sent back by the monitoring module. The light intensity control module adjusts and optimizes the light conditions to meet the needs of plant growth, and this module is also controlled by the control module. In this embodiment, the sensor network should include: soil integrated sensors, meteorological sensors, light sensors and CO2 sensors; soil integrated sensors for monitoring soil pH value, humidity, temperature, conductivity and other parameters. The soil integrated sensor includes: pH sensor, humidity sensor and temperature sensor. Among them, the pH sensor uses the electrode method to measure, that is, by inserting the pH electrode into the soil, the pH value is determined according to the potential difference generated. Humidity sensors use capacitive sensors to measure soil moisture by detecting changes in capacitance caused by moisture in the soil. Temperature sensors mostly use thermistors to measure soil temperature. Soil conductivity is related to the salt content in the soil and can reflect the fertility level of the soil. At the same time, high conductivity may mean that the soil contains more soluble salts, which may be harmful to some plants. The conductivity of the soil is determined by measuring the current intensity in the soil. Meteorological sensors: monitor environmental parameters such as temperature and humidity in the air. Light sensors: used to measure light intensity and spectral distribution. CO2 sensors: detect the concentration of carbon dioxide in the air.

[0064] The operation process of this device is as follows: First, the integrated monitoring device 3 monitors the key growth factors (such as temperature, humidity, light intensity, carbon dioxide concentration, pH value and matrix nutrients, etc.) in the digital incubator 5 in real time by deploying a high-precision sensor network, and uses an X-ray machine 2 to obtain the growth of the roots and tubers of the seedlings, so as to analyze the growth status of the seedlings. By comparing with the ideal growth parameter model in the database, the comparison results are uploaded to the seedling growth parameter cloud platform. Subsequently, the staff can use the LoRa transmission communication technology to send adjustment instructions to the environmental central control system 1 through the operation monitor 4. The controller automatically adjusts the seedling environment according to the instructions to ensure that the six growth factors are maintained within the optimal range, so as to achieve efficient and balanced growth of seedlings and improve yield and quality.

[0065] The X-ray moving machine 2, such as Figure 3 As shown, it includes: an X-ray scanner 6, a motor 7 and a guide rail 8;

[0066] The motor 7 is connected to the X-ray scanner 6, and the X-ray scanner 6 is mounted on a guide rail 8;

[0067] The motor 7 is used to drive the X-ray scanner 6 to move on the guide rail 8;

[0068] The X-ray scanner 6 is used to take X-ray images of plant roots and tubers in the digital incubator 5 during movement, and send the X-ray images to the central control device 1;

[0069] The guide rail 8 is used to provide a sliding track for the X-ray scanner 6 .

[0070] In this embodiment, the X-ray mobile machine is composed of an X-ray scanner 6, a motor 7 and a guide rail 8. The X-ray scanner 6 is connected to the guide rail 8, and the motor 7 is used to realize repeated movement, thereby realizing the detection of the entire digital incubator. Taking sweet potato as an example, since the sweet potato tubers are buried underground, the traditional method is to directly observe the tuber growth by means such as trial digging, which is harmful to the growing sweet potato seedlings and is not comprehensive enough. Indirect speculation through the growth of stems and leaves requires long-term and rich experience comparison. At present, most of the models used to estimate the root growth function to evaluate the "pathway" of sweet potato nutrient transport are based on nutritional characteristics, which cannot highly predict the generation of roots. Through X-ray non-destructive imaging technology, direct observation of the growth of sweet potato tubers can be achieved without interfering with the normal growth of sweet potatoes, thereby realizing accurate control of the growth state of sweet potato seedlings, improving production efficiency and product quality. In this embodiment, X-ray non-destructive imaging technology is used to perform deep learning, image processing, etc., and the captured images are accurately processed and analyzed to realize accurate identification of the sweet potato root system and tuber position. This is the basis for this embodiment to achieve high-precision imaging technology.

[0071] The integrated monitoring device 3, such as Figure 4 , Figure 5 As shown, it includes: a composite gas input control module 3-1, an integrated soil monitoring module 3-2, a soil matrix adjustment module 3-3, a light intensity control module 3-4, a carbon dioxide concentration gas and flow control module 3-5 and an internal gas circuit 3-6;

[0072] The composite gas input control module 3-1 is used to input composite gas into the digital incubator 5 according to the specified time and the preset gas input amount in the adjustment instruction sent by the central control device 1;

[0073] The integrated soil monitoring module 3-2 is used to obtain the performance indicators of the soil in the digital incubator 5 and send the performance indicators of the soil to the central control device 1;

[0074] The soil matrix adjustment module 3-3 is used to provide the digital cultivation box 5 with a soil matrix nutrient solution of a preset concentration in the adjustment instruction;

[0075] The light intensity control module 3-4 is used to provide the digital incubator 5 with a preset light intensity in an adjustment instruction;

[0076] The carbon dioxide concentration and airflow control module is connected to the composite gas input control module 3-1 through the internal gas path 3-6, and is used to provide the digital incubator 5 with a preset carbon dioxide concentration in the adjustment instruction;

[0077] The internal gas circuit 3 - 6 provides a gas circuit for the input composite gas of the composite gas input control module 3 - 1 and the carbon dioxide in the carbon dioxide concentration and airflow control module.

[0078] The carbon dioxide concentration and airflow control module is provided with an exhaust hole and an exhaust fan. By starting the exhaust fan, carbon dioxide is discharged from the digital incubator 5 through the internal air path 3-6 from the exhaust hole to reduce the carbon dioxide concentration in the digital incubator 5.

[0079] In this embodiment, the digital cultivation system is composed of a composite gas input control module 3-1, an integrated soil monitoring module 3-2, a soil matrix adjustment module 3-3, a light intensity control module 3-4, a CO2 concentration and airflow control module 3-5 and an internal gas path 3-6. The digital seedling system mainly contains the following environmental condition controls: composite gas control, containerized soil monitoring, soil moisture control, CO2 concentration and airflow control, soil pH adjustment, light intensity and duration control. All control systems of the equipment will be centrally controlled by the environmental central control system, and the user will set the environmental conditions and the third-party gas or solution required by the control system. The composite gas control provides composite gas through the composite gas input control module 3-1, and the control system performs timed and quantitative input through time. The integrated soil monitoring module 3-2 is used to feedback various soil performance indicators to transmit data to the environmental central control system to record and adjust the soil environment in real time. The light intensity control module 3-4 controls the light intensity and light duration in the growth environment. An exhaust hole and an exhaust fan are provided at the CO2 concentration and airflow control module 3-5, which are connected to the composite gas input control module 3-1 through the internal air path 3-6 to increase or decrease the CO2 concentration. To reduce the CO2 concentration, the system will start the exhaust to discharge the CO2 through the exhaust hole.

[0080] The composite gas input control module 3-1, the integrated soil monitoring module 3-2, the soil matrix adjustment module 3-3, the light intensity control module 3-4, and the carbon dioxide concentration gas and flow control module 3-5 respectively include independent local controllers. When the central control device 1 is disconnected from the integrated monitoring device 3, the independent local controllers are used to control the composite gas input control module 3-1, the integrated soil monitoring module 3-2, the soil matrix adjustment module 3-3, the light intensity control module 3-4, and the carbon dioxide concentration gas and flow control module 3-5 respectively.

[0081] In this embodiment, each module is equipped with a local controller, which can perform basic functions without the intervention of the central control device 1. For example, the light intensity control module can independently adjust the brightness of the LED lamp according to a preset schedule or light sensor feedback.

[0082] The operation monitor 4 and the central control device 1 are connected via an ad hoc network consisting of a LoRa gateway and a LoRa terminal, and the adjustment instruction is sent to the central control device 1 via the ad hoc network.

[0083] In this embodiment, the present invention uses the cloud platform network remote monitoring technology of LoRa to solve the problem of real-time monitoring and remote management difficulties in the traditional seedling raising method. The traditional seedling raising method relies on manual monitoring and management, and there are problems such as poor real-time performance, low accuracy, and untimely response, which leads to the inability to timely discover and solve environmental changes and seedling problems in the seedling raising process. Through the self-organizing network system composed of LoRa gateway and LoRa terminal, the real-time parameters monitored by the electronic sensor can be effectively collected and uploaded to the cloud. The management personnel can view the leaves and branches of the sweet potato seedlings in real time through the deep learning image recognition technology. At the same time, the ground-based non-destructive three-dimensional imaging technology (i.e., the X-ray imaging technology in the mobile X-ray machine) can also be used to observe the growth of the tuber root, and analyze and judge according to the real-time data, and timely adjust the seedling raising plan manually through the background to prevent the occurrence of the "empty mound" phenomenon. This technology not only improves the real-time and accuracy of seedling raising environment monitoring, but also greatly reduces the workload of manual inspections, improves management efficiency, and ensures that the sweet potato seedlings develop under the best growth conditions, thereby effectively improving the success rate of seedling raising and the quality of seedlings.

[0084] A digital seedling monitoring system proposed in the present application combines modern seedling facilities with the Internet of Things and big data technologies, and innovatively applies ground-penetrating non-destructive three-dimensional imaging technology (i.e., X-ray imaging technology in X-ray mobile machines) to collect, transmit, and analyze data on various factors affecting seedling growth, such as temperature, humidity, and light, in real time. In combination with the images of each stage of seedling growth and the parameter comparison analysis in the database, various growth factors such as temperature and humidity are issued and adjusted in a timely manner to ensure that the seedlings grow and develop according to the pre-set goals. Within 10-20 days, the "channel for transporting photosynthetic products (source) to tubers (sink)" is smoothly formed, solving the "excessive growth and empty tubers" phenomenon that affects yield (excessive growth refers to lush stems and leaves but small sweet potato tubers, and empty tubers refer to lush stems and leaves but no sweet potato tubers), thereby effectively improving seedling quality and ensuring stable and high crop yields. The promotion and application of digital facility seedling products and technologies can help various production cooperatives, family farms, and farmers increase production and income by more than 30%, and some sweet potato varieties can more than double their yields.

[0085] Embodiment 2:

[0086] This embodiment provides a digital seedling monitoring method, including:

[0087] Step S1: using the operation monitor to send an adjustment instruction to the central control device;

[0088] Step S2: The central control device makes corresponding adjustments to the integrated monitoring device according to the adjustment instruction to ensure that the key growth factors and the growth data of the plant roots and tubers are maintained within a preset range;

[0089] Step S3: using an integrated monitoring device to obtain data of key growth factors of the digital incubator in real time, and sending the data of key growth factors to a central control device;

[0090] Step S4: Using an X-ray machine to obtain real-time growth data of plant roots and tubers in the digital incubator, and sending the growth data to a central control device.

[0091] Among them, step S3 and step S4 are in no particular order. A digital seedling monitoring method is proposed in this embodiment. First, the operation monitor sends an adjustment instruction to the central control device through a wireless network. The central control device makes corresponding adjustments to the integrated monitoring device according to the adjustment instruction. At the same time, the integrated monitoring device obtains the data of key growth factors of the digital incubator in real time, and the X-ray machine obtains the growth data of plant roots and tubers in the digital incubator in real time. Finally, the growth data and the data of key growth factors are sent to the central control device to ensure real-time monitoring and intelligent regulation of the seedling environment.

[0092] The various embodiments in the present application are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0093] The protection scope of the present application is not limited to the above-mentioned embodiments. Obviously, those skilled in the art can make various changes and modifications to the present disclosure without departing from the scope and spirit of the present disclosure. If these changes and modifications fall within the scope of the claims of the present disclosure and their equivalents, the intention of the present disclosure also includes these changes and modifications.

Claims

1. A digital seedling monitoring system, characterized in that: include: Central control unit, mobile X-ray machine, integrated monitoring device, operation monitor and digital incubator; The central control device is connected to the X-ray mobile machine, the integrated monitoring device, and the operation monitor respectively; The integrated monitoring device is used to obtain the data of key growth factors of the digital incubator in real time through the sensor network, and send the data of key growth factors to the central control device; The X-ray mobile machine is used to obtain the growth data of the plant roots and tubers in the digital incubator in real time, and send the growth data to the central control device; The operation monitor is used to send adjustment instructions to the central control device; The digital cultivation box is a glass box used to provide a growth environment for plants; The central control device is used to make corresponding adjustments to the sensor network of the integrated monitoring device according to the adjustment instructions to ensure that the key growth factors and the growth data of the plant roots and tubers are maintained within a preset range.

2. The digital seedling monitoring system according to claim 1, characterized in that: The key growth factors include: temperature, humidity, light intensity, carbon dioxide concentration, pH value and matrix nutrient elements.

3. The digital seedling monitoring system according to claim 1 is characterized in that: The X-ray mobile machine includes: an X-ray scanner, a motor and a guide rail; The motor is connected to an X-ray scanner, and the X-ray scanner is mounted on a guide rail; The motor is used to drive the X-ray scanner to move on the guide rail; The X-ray scanner is used to digitize the X-ray images of plant roots and tubers in the incubator during movement, and to send the X-ray images to the central control device; The guide rail is used to provide a sliding track for the X-ray scanner.

4. The digital seedling monitoring system according to claim 1, characterized in that: The integrated monitoring device comprises: a composite gas input control module, an integrated soil monitoring module, a soil matrix adjustment module, a light intensity control module, a carbon dioxide concentration gas and flow control module and an internal gas circuit; The composite gas input control module is used to input composite gas into the digital incubator according to the specified time and the preset gas input amount in the adjustment instruction sent by the central control device; The integrated soil monitoring module is used to obtain the performance indicators of the soil in the digital incubator and send the performance indicators of the soil to the central control device; The soil matrix adjustment module is used to provide the digital incubator with a soil matrix nutrient solution of a preset concentration in the adjustment instruction; The light intensity control module is used to provide the digital incubator with a preset light intensity in an adjustment instruction; The carbon dioxide concentration and airflow control module is connected to the composite gas input control module through an internal gas path, and is used to provide the digital incubator with a preset carbon dioxide concentration in the adjustment instruction; The internal gas circuit provides a gas circuit loop for the input composite gas of the composite gas input control module and the carbon dioxide in the carbon dioxide concentration and airflow control module.

5. The digital seedling monitoring system according to claim 4, characterized in that: The carbon dioxide concentration and airflow control module is provided with an exhaust hole and an exhaust fan. By starting the exhaust fan, carbon dioxide is discharged from the digital incubator through the internal air path and from the exhaust hole to reduce the carbon dioxide concentration in the digital incubator.

6. The digital seedling monitoring system according to claim 1, characterized in that: The operation monitor and the central control device are connected via a self-organizing network composed of a LoRa gateway and a LoRa terminal, and the adjustment instruction is sent to the central control device via the self-organizing network.

7. The digital seedling monitoring system according to claim 4, characterized in that: The composite gas input control module, the integrated soil monitoring module, the soil matrix adjustment module, the light intensity control module, and the carbon dioxide concentration gas and flow control module respectively include independent local controllers. When the central control device is disconnected from the integrated monitoring device, the independent local controllers are used to control the composite gas input control module, the integrated soil monitoring module, the soil matrix adjustment module, the light intensity control module, and the carbon dioxide concentration gas and flow control module respectively.

8. The digital seedling monitoring system according to claim 1, characterized in that: The central control device is also used to analyze the collected data on key growth factors and growth data on plant roots and tubers, compare them with the parameters of the corresponding period in the database, obtain new adjustment instructions, and send the new adjustment instructions to the integrated monitoring device.

9. A digital seedling monitoring method, characterized in that: include: Use an operation monitor to send adjustment instructions to a central control device; The central control device makes corresponding adjustments to the integrated monitoring device according to the adjustment instructions to ensure that the key growth factors and the growth data of the plant roots and tubers are maintained within the preset range; An integrated monitoring device is used to obtain the data of key growth factors of the digital incubator in real time, and the data of key growth factors are sent to the central control device; An X-ray machine is used to obtain the growth data of plant roots and tubers in the digital incubator in real time, and the growth data is sent to a central control device.

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