Efficient silkworm seedling raising system and method

Abstract

The invention relates to the technical field of seedling raising, in particular to a silkworm efficient seedling raising system and method, and aims at achieving the efficient automatic and intelligent seedling raising integrated process, reducing the plant seedling raising risk and improving precise regulation and control of plant seedling raising growth. The seedling pot frame is placed in the seedling raising chamber to cultivate plants; the intelligent control system comprises the steps that an information collection module collects environment data in a seedling raising chamber and target space images of seedling pot frames in the seedling raising chamber through an internet-of-things sensor and intelligent equipment, and captures the target space images to automatically recognize pests and pest activity information; the seedling raising setting module sets different control strategies according to different growth cycles of the plant seedling stage; the environment monitoring module monitors environment data change to obtain an environment state coefficient; the pest situation monitoring module monitors pest movement track information to obtain a pest influence coefficient; the data analysis module analyzes a monitoring result and adjusts a corresponding control strategy; and the seedling culture management module performs plant seedling culture management according to the adjusted control strategy.

Description

Technical Field

[0001] The invention relates to the technical field of seedling cultivation, and in particular to a silkworm and mulberry efficient seedling cultivation system and method. Background Art

[0002] The efficient seedling raising system for sericulture usually involves a series of optimized modern intelligent control technology steps, aiming to improve the growth efficiency and quality of mulberry seedlings. The advantage of intelligent efficient seedling raising technology for sericulture is that it can improve the efficiency of seedling raising, promote mulberry seedlings to avoid the squatting period, and help improve the overall productivity and economic benefits of mulberry gardens.

[0003] Existing seedling raising technology methods usually include monitoring of the indoor environment of seedling raising and the safety of cultivation and growth. Through computer monitoring and growth environment control technologies and combined with the characteristics of plant growth rhythm, the healthy growth of mulberry seedlings and the simplified transportation process can be promoted. However, challenges that may be faced in practical applications include ensuring the suitability of the seedling raising environment, effective control of pests and diseases, and technology promotion and farmer acceptance.

[0004] In order to accelerate the efficient realization of economic benefits of silkworm and mulberry cultivation, the existing silkworm and mulberry cultivation process mostly completes the safe growth process of seedlings by setting up cultivation space to control the environment and monitor the insect situation. However, the actual use of equipment for monitoring still requires real-time manual management of seedlings, and the seedling environment and pest control still rely on manual experience and judgment, which lacks intelligence. In addition, problems with safety management operations during manual intervention may increase the risk of plant seedling infection in the early stage, and it is difficult to predict in advance and effectively. Summary of the invention

[0005] The object of the present invention is to provide a system and method for efficiently raising silkworm seedlings, and to solve the following technical problems: How to achieve efficient automation and intelligent seedling cultivation integrated process, reduce plant seedling cultivation risks, and improve the precise regulation of plant seedling growth.

[0006] The purpose of the present invention can be achieved by the following technical solutions: A silkworm and mulberry efficient seedling raising system comprises: a seedling pot rack, a seedling raising room, and an intelligent control system; the seedling pot rack is placed in the seedling raising room for cultivating plants; the intelligent control system comprises: An information collection module is used to collect indoor environment data of the nursery room and target space images of seedling pots and racks in the nursery room through IoT sensors and smart devices, and to capture target space images to automatically identify pests and pest activity information; Environmental data include indoor temperature and indoor humidity; The target space images include three-dimensional images of plants and three-dimensional images of pests; The seedling setting module is used to set different control strategies according to the different growth cycles of the plant seedlings; the control strategies include light intensity, insecticide addition and water supply; Environmental monitoring module, used to monitor the changes in environmental data within a preset time period to obtain environmental status coefficients; The pest monitoring module is used to monitor the movement trajectory information of pests within a preset time period to obtain the pest impact coefficient; A data transmission module, used to upload the monitoring results obtained in real time by the environment monitoring module and the insect monitoring module to the control host; Data analysis module, used to analyze monitoring results and adjust corresponding control strategies; The seedling management module is used to manage plant seedlings according to the adjusted control strategy.

[0007] Preferably, the seedling room is provided with a gas supply system, a temperature and humidity control system, an automatic water and fertilizer circulation system, a ventilation system, an LED lighting system, an insecticide system and a timer.

[0008] Preferably, the environmental state coefficient is: By formula Calculate the environmental state coefficient ;in, is the indoor temperature, is the indoor humidity; is the standard indoor temperature; is the standard indoor humidity; is the preset indoor temperature deviation value; It is the preset indoor humidity deviation value; for light intensity; is the water supply; Set the influence function for indoor temperature seedling conditions; Set the influence function for indoor humidity seedling conditions.

[0009] Preferably, the environmental monitoring module obtains the environmental state coefficient in the following manner: The environmental state factor The preset environmental status coefficient threshold range To compare: like < , then the current environmental status is judged to be normal and environmental monitoring continues; like ≤ ≤ , then perform environmental status analysis and obtain the current environmental status coefficient; like > , then the current environmental state is judged to be abnormal and the first warning information is generated.

[0010] Preferably, the process of obtaining and analyzing the pest movement trajectory information includes: Collect continuous frames of pest motion trajectory images within a preset time period as data set input to build a motion three-dimensional model and output pest motion parameters; Obtain the real-time time variation curve of pest movement parameters within a preset time period ; Obtain the standard time variation curve of pest movement parameters within the historical time period ; The curve and curve Establish and perform difference calculation in the same coordinate system, the formula is: , the difference Compare with the difference standard threshold: If the difference If it is greater than the difference standard threshold, it is judged that the pest movement trajectory is frequent and the current difference is obtained. ,remember for pest movement parameters; Otherwise, continue with insect monitoring.

[0011] Preferably, the method for obtaining the pest impact coefficient is: By formula Pest impact coefficient ;in, is the total number of plants affected by pests, and ∈ ; is the length of the preset time period; For the Pest movement parameters for each pest-affected plant; For the Standard pest movement parameters for each pest-infested plant; is the conversion function of the impact of pests on plants in an area of ​​S; For the The location distribution coefficient of plants affected by pests.

[0012] Preferably, it also includes: Pest impact factor The influence coefficient threshold interval with the preset standard To compare: like ∈ , then it is judged that the impact of pests on plants is within the normal monitoring range, and the current pest impact coefficient is obtained; like > , it is judged that the impact of pests on plants exceeds the normal monitoring range and a second warning information is generated.

[0013] Preferably, the control strategy is: After obtaining the environmental state coefficient through environmental state analysis within a preset time period, the number of obtained pest impact coefficients under the environmental state coefficient is extracted and recorded as a set F; Record the number of elements X in the set F and the number of elements in the preset standard set N The ratio of is denoted as K; If K≥50%, the preset light intensity and water supply in the nursery room will continue to remain unchanged; If K is less than 50%, increase the preset light intensity in the current nursery room and add insecticides and water supply.

[0014] A method for efficiently raising silkworm and mulberry seedlings, comprising: S1. Collect the indoor environment data of the nursery room and the target space image of the seedling pot rack in the nursery room through IoT sensors and smart devices, and capture the target space image to automatically identify pests and pest activity information; the environmental data includes indoor temperature and indoor humidity; the target space image includes plant 3D images and pest 3D images; S2. Set different control strategies according to different growth cycles of the plant seedling stage; the control strategies include light intensity, insecticide and water supply; S3, monitoring the environmental data changes within a preset time period to obtain the environmental status coefficient; S4, monitoring the movement trajectory information of pests within a preset time period to obtain the pest impact coefficient; S5, uploading the monitoring results obtained in real time by the environment monitoring module and the insect monitoring module to the control host; S6. Analyze the monitoring results and adjust the corresponding control strategy, and perform plant seedling management according to the adjusted control strategy.

[0015] Beneficial effects of the present invention: The present invention realizes a high degree of automation and refinement of the seedling raising process through an efficient automated and intelligent seedling raising system, specifically through integrated information collection, environmental control, data processing and intelligent decision-making mechanisms; first, through the information collection module, the Internet of Things sensor is used to continuously monitor the internal environment of the seedling raising room, including but not limited to key indicators such as temperature and humidity; the intelligent device captures the target space image on the seedling pot rack, and automatically identifies plants and potential pests and their activity signs through advanced image recognition technology. Then, the control strategy is determined through the seedling raising setting module, and is set based on the different growth cycles of the plants, and the corresponding control strategy is automatically generated, including adjusting the light intensity, determining the timing and dosage of the use of the insecticide, and reasonably arranging the water supply plan. Next, an environmental monitoring module is set to regularly check the changing trend of environmental data, and the degree of influence of environmental factors on plant growth is quantified through an algorithm to form a specific environmental state coefficient; and the dynamics of pests, such as their movement paths and active areas, are recorded through the insect monitoring module, and the pest impact coefficient is given after comprehensive analysis to reflect the potential threat of pests. Then, a data transmission module is set up to transmit the obtained monitoring result data to the central control system in real time as the basis for subsequent analysis and decision-making; finally, through the seedling management module, based on the current environmental state coefficient and pest impact coefficient, the system dynamically adjusts the previously set control strategy to ensure the optimal growth environment and effective pest control. Finally, various seedling management measures are automatically executed according to the updated strategy, such as changing the light intensity, spraying pesticides, and controlling the amount of watering; through this highly automated and intelligent management method, the seedling system of the present invention can effectively respond to various external challenges and ensure that the seedlings thrive in the best state.

[0016] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0018] Figure 1 This is a schematic diagram of a module of a silkworm and mulberry efficient seedling raising system of the present invention; Figure 2 The present invention is a step diagram of a method for efficiently raising silkworm and mulberry seedlings. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] See also Figure 1 As shown, the present invention is a silkworm and mulberry efficient seedling raising system and method. A silkworm and mulberry efficient seedling raising system is specifically designed, including: a seedling pot rack, a seedling raising room, and an intelligent control system; the seedling pot rack is placed in the seedling raising room for cultivating plants; wherein the seedling raising room is provided with a gas supply system, a temperature and humidity control system, an automatic water and fertilizer circulation system, a ventilation system, an LED supplementary lighting system, an insecticide system, and a timer.

[0021] Gas supply system: responsible for delivering necessary gases, such as carbon dioxide, to the nursery room to promote photosynthesis and growth of plants. Temperature and humidity control system: monitors the temperature and humidity in the nursery room through sensors, and automatically adjusts through heating, cooling, humidification or dehumidification equipment to maintain the environmental conditions required for plant growth. Water and fertilizer automatic circulation system: ensures that the roots of plants get the right amount of water and nutrients to promote healthy growth by precisely controlling irrigation and fertilization. Ventilation system: regulates air circulation in the nursery room to prevent the occurrence of diseases and helps regulate temperature and humidity. LED lighting system: provides artificial light, especially when natural light is insufficient, to ensure that plants get enough light for photosynthesis. Pest control system: uses physical or chemical methods to control pests in the nursery room and protect plants from damage. Timer: used to automatically control the operating time of the above systems to ensure that environmental parameters reach preset standards within a specific time. Integrated and automated control is used to achieve an efficient, energy-saving and sustainable seedling process, and through real-time monitoring and intelligent adjustment, the success rate of seedling cultivation and crop quality can be maximized.

[0022] Intelligent control system includes: An information collection module is used to collect indoor environment data of the nursery room and target space images of seedling pots and racks in the nursery room through IoT sensors and smart devices, and to capture target space images to automatically identify pests and pest activity information; Environmental data include indoor temperature and indoor humidity; The target space images include three-dimensional images of plants and three-dimensional images of pests; The seedling setting module is used to set different control strategies according to the different growth cycles of the plant seedlings; the control strategies include light intensity, insecticide addition and water supply; Environmental monitoring module, used to monitor the changes in environmental data within a preset time period to obtain environmental status coefficients; The pest monitoring module is used to monitor the movement trajectory information of pests within a preset time period to obtain the pest impact coefficient; A data transmission module, used to upload the monitoring results obtained in real time by the environment monitoring module and the insect monitoring module to the control host; Data analysis module, used to analyze monitoring results and adjust corresponding control strategies; The seedling management module is used to manage plant seedlings according to the adjusted control strategy.

[0023] In the above technical scheme, this embodiment cultivates and controls the plants in the seedling pots in the seedling room through an intelligent control system. The plants mainly refer to the process of cultivating and controlling silkworm and mulberry seedlings. The intelligent control system is mainly designed in this system. Through the six modules of information collection module, seedling setting module, environmental monitoring module, insect monitoring module, data transmission module and seedling management module, the process of monitoring the seedling cultivation environment and insect conditions of plants, especially silkworms and mulberry trees, is realized. This helps to avoid the seedling squatting period, improve seedling efficiency, and is of great significance to the efficient development of the sericulture industry.

[0024] Specifically, firstly, an information collection module is set up to capture environmental data and the growth changes of plants in the seedling pot racks in the nursery room; specifically, the environmental data of the nursery room and the target space images of the seedling pot racks in the nursery room are collected through IoT sensors and intelligent devices, and pests and pest activity information are automatically identified by capturing the target space images; the environmental data collection is to continuously monitor the changes in temperature, humidity, natural light intensity and oxygen supply in the nursery room through IoT sensors, and ensure that these key environmental parameters are maintained within a range suitable for plant growth; and the process of image collection and image information analysis is to use intelligent devices to capture a three-dimensional image of the target space of the seedling pot rack in the nursery room, and the obtained three-dimensional image includes a three-dimensional image of a plant and a three-dimensional image of a pest. Generally, the information that the three-dimensional image of the plant and the three-dimensional image of the pest appear in the same screen in the collected image is captured, and the area of ​​the current screen and the monitoring target, such as the location information of the pest, are obtained at the same time; analysis is performed based on the location of the pest and its three-dimensional image information, and the pest and pest activity information are automatically detected through image recognition technology to provide real-time data for pest management.

[0025] Secondly, a seedling setting module is set to set different control strategies according to different growth cycles of the plant seedling stage; according to the different growth stages of the plant seedling stage, the system will automatically set the corresponding light intensity, insecticide addition amount and water supply to ensure that the plant can get the most suitable growth environment at each growth stage. The control strategy is used to manage seedling cultivation according to the preset control conditions, and the control strategy designed in this embodiment mainly includes light intensity, insecticide addition and water supply. The light intensity is used to promote the growth rate of plants and ensure the growth rhythm in each growth cycle; the water supply is used to ensure the basic water volume and soil nutrients for plant growth and development, and to facilitate the addition of dissolved nutrients in water. In addition, this design also sets a channel for the requirements of pest control, and the results are captured according to the position of the monitored plant growth branches and leaves, and the spraying device can be easily set at the position of the seedling pot in the nursery room to complete the expulsion of pests.

[0026] Third, an environmental monitoring module is set up to monitor changes in environmental data within a preset time period to obtain an environmental state coefficient; it is used to monitor changes in environmental data within a preset time period, calculate the environmental state coefficient through an algorithm, and evaluate the impact of environmental conditions on plant growth.

[0027] The specific way for the environmental monitoring module to obtain the environmental status coefficient is as follows: By formula Calculate the environmental state coefficient ;in, is the indoor temperature, is the indoor humidity; is the standard indoor temperature; is the standard indoor humidity; is the preset indoor temperature deviation value; It is the preset indoor humidity deviation value; for light intensity; is the water supply; Set the influence function for indoor temperature seedling conditions; Set the influence function for indoor humidity seedling conditions.

[0028] In the above technical scheme, the method of obtaining the environmental state coefficient in this embodiment is to obtain the environmental changes during the plant growth process in the current cycle through formula calculation. Since the environment in the cultivation room is controllable and different from the external environment, and the plant seedling control setting of the current cycle is set to a fixed supply within a period of time in the cycle, to determine whether the current control supply conditions are qualified, it is necessary to further determine whether the current environmental changes are suitable for the settings, and then give environmental data that meets the conditions, and further non-analyze the impact of other factors on plant growth for non-compliant situations.

[0029] Since different environmental state coefficients reflect the changes in the current environment, especially the changes in the light intensity and water supply required for plant growth in the current cycle. The temperature and humidity in the formula have different effects on the setting of seedling conditions. Therefore, it is necessary to set the relevant data on the influence of the control conditions required by the plant in the current seedling cycle on the environmental state. In this embodiment, by setting and To reflect the influence of the indoor seedling raising conditions and the size of the function that controls the seedling raising environment on the state of the seedling raising environment, and then adjust the settings of the corresponding water and light supply according to the seedling raising environment state coefficient.

[0030] in, , They are all obtained by simulation based on historical data and will not be elaborated here; , All settings are selected based on empirical data and will not be described in detail here; and With light intensity , water supply The relationship is obtained by selecting the average value of the temperature and humidity parameters in each environment under the influence of the light intensity and water supply set in different seedling raising cycles. and It will be adjusted according to the changes in the current cycle seedling settings, and then under the growth and cultivation control conditions of different cycles, the environmental state coefficient will be adjusted accordingly according to its changes, thereby improving the accuracy of judging the changes in environmental supply required for plant growth control in different cycles.

[0031] In addition, as an implementation mode of the present invention, the environmental monitoring module obtains the environmental state coefficient in the following manner: The environmental state factor The preset environmental status coefficient threshold range To compare: like < , then the current environmental status is judged to be normal and environmental monitoring continues; like ≤ ≤ , then perform environmental status analysis and obtain the current environmental status coefficient; like > , then the current environmental state is judged to be abnormal and the first warning information is generated.

[0032] In the above technical solution, in this embodiment, the environmental state coefficients that meet the monitoring conditions are obtained, and the environmental state is further analyzed according to such environmental state coefficients, so as to judge the accuracy of the control strategy. The preset environmental status coefficient threshold range Compare the sizes and determine when ≤ ≤ If the environmental analysis is in compliance with the requirements, the current environmental status coefficient is obtained for the next step of analysis and processing, and the control strategy is adjusted in combination with the insect situation to ensure a more accurate sericulture management process. For situations that do not meet the environmental status requirements, early warning analysis is performed, and abnormal environmental status generates the first early warning signal, while normal environmental status continues to be monitored and managed.

[0033] Fourthly, an insect monitoring module is set up to monitor the movement trajectory information of pests within a preset time period to obtain the pest impact coefficient; by real-time monitoring of the movement trajectory information of pests, analyzing the activity pattern and distribution density of pests, and then calculating the pest impact coefficient to evaluate the severity of pests.

[0034] Specifically, as an embodiment of the present invention, the process of obtaining and analyzing the pest movement trajectory information includes: Collect continuous frames of pest motion trajectory images within a preset time period as data set input to build a motion three-dimensional model and output pest motion parameters; Obtain the real-time time variation curve of pest movement parameters within a preset time period ; Obtain the standard time variation curve of pest movement parameters within the historical time period ; The curve and curve Establish and perform difference calculation in the same coordinate system, the formula is: , the difference Compare with the difference standard threshold: If the difference If it is greater than the difference standard threshold, it is judged that the pest movement trajectory is frequent and the current difference is obtained. ,remember for pest movement parameters; Otherwise, continue with insect monitoring.

[0035] In the above technical solution, in this embodiment, the pest movement trajectory information is obtained to reflect the impact of pest movement on plants. Specifically, continuous frame pest movement trajectory images within a preset time period are first collected as data set input, and input into a three-dimensional model for machine training to build a motion three-dimensional model, and the pest movement parameters are output to achieve parameterized output of the pest movement situation; then, the real-time time change curve of the pest movement parameters within the preset time period is obtained. ; The curve is used to reflect the real-time dynamic changes of pest movement; and after a certain period of historical dynamic changes of pest movement are accumulated to reflect the standard changes of pests, so this embodiment obtains the standard time change curve of pest movement parameters in the historical time period ; Then, the curve and curve In the same coordinate system, a difference calculation is established and performed. The difference calculation reflects whether the impact of pest movement on plant growth under the current plant cycle setting is consistent with the current trajectory. Specifically, the formula is: , the difference Compare the difference with the standard threshold value to determine if the difference If it is greater than the difference standard threshold, it is judged that the pest movement trajectory is frequent and the current difference is obtained. ,remember is the pest movement parameter, because the current difference The difference is proportional to the impact on pest movement. The larger the difference, the more obvious the change in pest movement. In this embodiment, it is recorded as the pest movement impact parameter; otherwise, it is judged that the current pest movement trajectory is within the normal controllable range, and the management of pest monitoring is continued.

[0036] As an implementation mode of the present invention, a method for obtaining the pest impact coefficient is as follows: By formula Pest impact coefficient ;in, is the total number of plants affected by pests, and ∈ ; is the length of the preset time period; For the Pest movement parameters for each pest-affected plant; For the Standard pest movement parameters for each pest-infested plant; is the conversion function of the impact of pests on plants in an area of ​​S; For the The location distribution coefficient of plants affected by pests.

[0037] In the above technical solution, the magnitude of the pest impact coefficient is further analyzed in this embodiment, and the result calculated by the formula reflects the impact of pests on plants. The specific formula is: Obtained pest impact coefficient It is related to the cumulative number of plants affected by pests that change in real time under the current period of the pest movement parameters. Within the set area, the greater the impact of the pest movement, the greater the impact on the current position of the plant. Therefore, in this embodiment, the real-time parameter value of the accumulated area of ​​the plant affected by the pests is set as the calculation condition of the pest impact coefficient.

[0038] Among them, it is necessary to explain that It is obtained by simulating historical data and will not be described in detail here; the conversion function The distribution state of the pest species’ influence on plants under the set area S during the plant cycle is fitted. Therefore, the pest movement parameters are brought in to determine whether there is an abnormal situation of pest movement affecting plants, and then the adjustment control is performed; the position distribution coefficient The settings are selected based on the status of different pest-affected plants and will not be described in detail here.

[0039] As an embodiment of the present invention, it also includes: Pest impact factor The influence coefficient threshold interval with the preset standard To compare: like ∈ , then it is judged that the impact of pests on plants is within the normal monitoring range, and the current pest impact coefficient is obtained; like > , it is judged that the impact of pests on plants exceeds the normal monitoring range and a second warning information is generated.

[0040] In the above technical solution, the pest impact coefficient is obtained by analyzing The size of the impact coefficient is used to reflect the impact range of pests on plants. This range is determined based on the preset standard impact coefficient threshold range. If it falls within this range, the impact of pests on plants is judged to be within the normal monitoring range, and the current pest impact coefficient is obtained; for situations beyond the normal detection range, an early warning notification is issued and a second early warning information is generated.

[0041] Fifth, a data transmission module is set up to upload the monitoring results obtained in real time by the environmental monitoring module and the insect monitoring module to the control host to realize centralized processing and analysis of data.

[0042] Sixth, set up a data analysis module to analyze the monitoring results and adjust the corresponding control strategies, analyze the environmental status coefficient and pest impact coefficient, adjust the seedling environment and pest control strategy according to the analysis results, and optimize the seedling process.

[0043] As an implementation mode of the present invention, specifically, the control strategy is: After obtaining the environmental state coefficient through environmental state analysis within a preset time period, the number of obtained pest impact coefficients under the environmental state coefficient is extracted and recorded as a set F; Record the number of elements X in the set F and the number of elements in the preset standard set N The ratio of is denoted as K; If K≥50%, the preset light intensity and water supply in the nursery room will continue to remain unchanged; If K is less than 50%, increase the preset light intensity in the current nursery room and add insecticides and water supply.

[0044] In the above technical scheme, this embodiment realizes the precise control process of seedling growth and cultivation by adjusting the preset light intensity and water supply conditions in the current seedling room, and realizes efficient seedling cultivation and return of sericulture plants. Specifically, in the analysis process, further judgment is made by combining the environmental state coefficient and the number of pest impact coefficients after covering the environmental state coefficient. The number of pest impact coefficients obtained under the environmental state coefficient is extracted and recorded as a set F; and the number of elements X in the set F and the number of elements in the preset standard set N are recorded. The ratio is recorded as K; if K ≥ 50%, the preset light intensity and water supply in the current nursery room will continue to remain unchanged; if K < 50%, the preset light intensity in the current nursery room will be increased and insecticides and water supply will be added.

[0045] Seventh, a seedling management module is set up to perform plant seedling management according to the adjusted control strategy. According to the adjusted control strategy, the plant seedling management tasks are automatically performed, including adjusting lighting, water supply, pesticide application and other operations to ensure the healthy growth of plants.

[0046] See also Figure 2 As shown, the present invention also provides a method for efficiently raising silkworm seedlings, comprising: S1. Collect the indoor environment data of the nursery room and the target space image of the seedling pot rack in the nursery room through IoT sensors and smart devices, and capture the target space image to automatically identify pests and pest activity information; the environmental data includes indoor temperature and indoor humidity; the target space image includes plant 3D images and pest 3D images; S2. Set different control strategies according to different growth cycles of the plant seedling stage; the control strategies include light intensity, insecticide and water supply; S3, monitoring the environmental data changes within a preset time period to obtain the environmental status coefficient; S4, monitoring the movement trajectory information of pests within a preset time period to obtain the pest impact coefficient; S5, uploading the monitoring results obtained in real time by the environment monitoring module and the insect monitoring module to the control host; S6. Analyze the monitoring results and adjust the corresponding control strategy, and perform plant seedling management according to the adjusted control strategy.

[0047] In summary, the following technical processes are realized through a silkworm and mulberry efficient seedling raising system and method: the efficient seedling raising system realizes the high automation and refinement of the seedling raising process through integrated information collection, environmental control, data processing and intelligent decision-making mechanisms. First, through the information collection module, the IoT sensor is used to continuously monitor the internal environment of the seedling raising room, including but not limited to key indicators such as temperature and humidity; the intelligent device captures the target space image on the seedling pot rack, and automatically identifies plants and potential pests and their activity signs through advanced image recognition technology. Then, the control strategy is determined through the seedling raising setting module, and is set based on the different growth cycles of the plants, and the corresponding control strategy is automatically generated, including adjusting the light intensity, determining the timing and dosage of the use of insecticides, and reasonably arranging the water supply plan. Next, the environmental monitoring module is set to regularly check the changing trend of environmental data, quantify the degree of influence of environmental factors on plant growth through algorithms, and form a specific environmental state coefficient; and the insect monitoring module is used to record the dynamics of pests, such as their movement paths and active areas, and the pest impact coefficient is given after comprehensive analysis to reflect the potential threat of pests. Then, a data transmission module is set up to transmit the obtained monitoring result data to the central control system in real time as the basis for subsequent analysis and decision-making; finally, through the seedling management module, based on the current environmental state coefficient and pest impact coefficient, the system dynamically adjusts the previously set control strategy to ensure the optimal growth environment and effective pest control. Finally, various seedling management measures are automatically executed according to the updated strategy, such as changing the light intensity, spraying pesticides, and controlling the amount of watering; through this highly automated and intelligent management method, the seedling system of the present invention can effectively respond to various external challenges and ensure that the seedlings thrive in the best state.

[0048] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0049] The above specific embodiments of this specification are described. Other embodiments are within the scope of the attached documents. In some cases, the actions or steps recorded in this application can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the process depicted in the accompanying drawings does not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0050] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this application, they shall all fall within the protection scope of the present invention.

Claims

1. A silkworm and mulberry efficient seedling raising system, characterized in that: include: Seedling pot rack, nursery room, intelligent control system; The seedling pot rack is placed in the nursery room for cultivating plants; The intelligent control system comprises: An information collection module is used to collect indoor environment data of the nursery room and target space images of seedling pots and racks in the nursery room through IoT sensors and smart devices, and to capture target space images to automatically identify pests and pest activity information; The environmental data includes indoor temperature and indoor humidity; The target space image includes a three-dimensional image of a plant and a three-dimensional image of a pest; A seedling setting module is used to set different control strategies according to different growth cycles of the plant seedling stage; the control strategies include light intensity, insecticide addition and water supply; Environmental monitoring module, used to monitor the changes in environmental data within a preset time period to obtain environmental status coefficients; The pest monitoring module is used to monitor the movement trajectory information of pests within a preset time period to obtain the pest impact coefficient; A data transmission module, used to upload the monitoring results obtained in real time by the environment monitoring module and the insect monitoring module to the control host; Data analysis module, used to analyze monitoring results and adjust corresponding control strategies; The seedling management module is used to manage plant seedlings according to the adjusted control strategy.

2. The efficient sericulture seedling raising system according to claim 1, characterized in that: The seedling room is provided with a gas supply system, a temperature and humidity control system, a water and fertilizer automatic circulation system, a ventilation system, an LED light supplement system, an insecticide system and a timer.

3. The efficient sericulture seedling raising system according to claim 1, characterized in that: The environmental state coefficient is: By formula Calculate the environmental state coefficient ;in, is the indoor temperature, is the indoor humidity; is the standard indoor temperature; is the standard indoor humidity; is the preset indoor temperature deviation value; It is the preset indoor humidity deviation value; for light intensity; is the water supply; Set the influence function for indoor temperature seedling conditions; Set the influence function for indoor humidity seedling conditions.

4. The efficient sericulture seedling raising system according to claim 3, characterized in that: The environmental monitoring module obtains the environmental status coefficient in the following way: The environmental state factor The preset environmental status coefficient threshold range To compare: like < , then the current environmental status is judged to be normal and environmental monitoring continues; like ≤ ≤ , then perform environmental status analysis and obtain the current environmental status coefficient; like > , then the current environmental state is judged to be abnormal and the first warning information is generated.

5. The efficient sericulture seedling raising system according to claim 1, characterized in that: The acquisition and analysis process of the pest movement trajectory information includes: Collect continuous frames of pest motion trajectory images within a preset time period as data set input to build a motion three-dimensional model and output pest motion parameters; Obtain the real-time time variation curve of pest movement parameters within a preset time period ; Obtain the standard time variation curve of pest movement parameters within the historical time period ; The curve and curve Establish and perform difference calculation in the same coordinate system, the formula is: , the difference Compare with the difference standard threshold: If the difference If it is greater than the difference standard threshold, it is judged that the pest movement trajectory is frequent and the current difference is obtained. ,remember for pest movement parameters; Otherwise, continue with insect monitoring.

6. The efficient sericulture seedling raising system according to claim 5, characterized in that: The method for obtaining the pest impact coefficient is: By formula Pest impact coefficient ;in, is the total number of plants affected by pests, and ∈ ; is the length of the preset time period; For the Pest movement parameters for each pest-affected plant; For the Standard pest movement parameters for each pest-infested plant; is the conversion function of the impact of pests on plants in an area of ​​S; For the The location distribution coefficient of plants affected by pests.

7. The efficient sericulture seedling raising system according to claim 6, characterized in that: Also includes: Pest impact factor The influence coefficient threshold interval with the preset standard To compare: like ∈ , then it is judged that the impact of pests on plants is within the normal monitoring range, and the current pest impact coefficient is obtained; like > , it is judged that the impact of pests on plants exceeds the normal monitoring range and a second warning information is generated.

8. The efficient sericulture seedling raising system according to claim 1, characterized in that: The control strategy is: After obtaining the environmental state coefficient through environmental state analysis within a preset time period, the number of obtained pest impact coefficients under the environmental state coefficient is extracted and recorded as a set F; Record the number of elements X in the set F and the number of elements in the preset standard set N The ratio of is denoted as K; If K ≥ 50%, the preset light intensity and water supply in the nursery room will continue to remain unchanged; If K is less than 50%, increase the preset light intensity in the current nursery room and add insecticides and water supply.

9. A method for efficiently raising silkworm seedlings, characterized in that: The method adopts a sericulture efficient seedling raising system according to any one of claims 1 to 8, and the method comprises: S1. Collecting the indoor environment data of the nursery room and the target space image of the seedling pot rack in the nursery room through IoT sensors and smart devices, capturing the target space image to automatically identify pests and pest activity information; the environmental data includes indoor temperature and indoor humidity; the target space image includes a three-dimensional image of plants and a three-dimensional image of pests; S2. Setting different control strategies according to different growth cycles of the plant seedling stage; the control strategies include light intensity, insecticide and water supply; S3, monitoring the environmental data changes within a preset time period to obtain the environmental status coefficient; S4, monitoring the movement trajectory information of pests within a preset time period to obtain the pest impact coefficient; S5, uploading the monitoring results obtained in real time by the environment monitoring module and the insect monitoring module to the control host; S6. Analyze the monitoring results and adjust the corresponding control strategy, and perform plant seedling management according to the adjusted control strategy.

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