Intelligent control method for auricularia delicata cultivation process
By setting early observation points and dividing medium areas during the wrinkle fungus cultivation process, monitoring the growth of mycelium in real time and implementing remedial measures, the problem of difficult to estimate the suitability and yield quality of wrinkle fungus growth conditions in the prior art is solved, and the effect of balanced expansion of mycelium and consistency of wrinkle fungus quality is achieved.
Patent Information
- Application Number
- CN202510617536.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-14
- Publication Date
- 2025-06-13
- Estimated Expiration
- 2045-05-14
AI Technical Summary
During the cultivation of wrinkled fungus, the prior art is difficult to monitor the growth of mycelium in real time, making it difficult to estimate the growth conditions suitability and yield quality of wrinkled fungus.
By setting early observation points, the coverage area and density distribution of mycelium on the culture medium are obtained, and the culture medium is divided into multiple areas. The mycelium coverage in each area is monitored and quantified in real time, the mycelium growth tendency is judged, and remedial measures are implemented.
Real-time monitoring of the mycelium expansion status during wrinkled fungus cultivation is achieved, and the problem of insufficient growth can be detected early, which reduces the risk of affecting yield and quality due to poor mycelium growth, ensuring balanced expansion of mycelium and consistency of wrinkled fungus quality.
Smart Images

Figure CN120147876A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of predicting and regulating the growth of Auricularia delicata, and specifically to an intelligent control method for the cultivation process of Auricularia delicata. Background Technique
[0002] Auricularia delicata is an edible mushroom belonging to the Auricularia category. Auricularia delicata is rich in nutrients such as protein, dietary fiber, various vitamins, and minerals, and is commonly used in cold salads, stir-fried dishes, soups, etc. in cooking. In addition, in recent years, with the development of modern agricultural technology, the cultivation of Auricularia delicata has gradually become large-scale and intelligent. Through technical means such as sensor monitoring, environmental regulation, and data analysis, key growth factors such as temperature, humidity, and carbon dioxide concentration are precisely adjusted, thereby providing a stable and ideal cultivation growth environment for Auricularia delicata and improving yield and quality.
[0003] In the process of growing and cultivating Auricularia delicata, specially prepared culture media are used. These culture media usually include organic materials such as sawdust, rice bran, cottonseed hulls, and corncobs, providing a pure and nutrient-rich growth environment for Auricularia delicata through high-temperature sterilization, adding appropriate amounts of water and nutrients. During the cultivation process of Auricularia delicata, the mycelium is extremely sensitive to the external environment. Therefore, during the cultivation process of Auricularia delicata, the growth situation of Auricularia delicata can be predicted by observing and analyzing the growth status of the mycelium, and the cultivation management method can be adjusted in a timely manner. Summary of the Invention
[0004] Aiming at the problems existing in the above-mentioned prior art, the purpose of the present invention is to provide an intelligent control method for the cultivation process of Auricularia delicata, so as to be able to predict the suitability of the growth conditions of Auricularia delicata by observing the growth of the mycelium on the culture medium during the cultivation process of Auricularia delicata, and reasonably regulate the cultivation conditions during the cultivation process.
[0005] To achieve the above purpose, the present invention provides the following technical solution: An intelligent control method for the cultivation process of Auricularia delicata, the method comprising the following steps:
[0006] Select appropriate organic raw materials and configure them into a culture medium, then inoculate the strain into the sterilized culture medium, and after inoculation, place the culture medium in a cultivation environment where the humidity, temperature, carbon dioxide concentration, and air circulation degree can be regulated, so that the mycelium can grow and expand in the culture medium under a suitable environment;
[0007] Set the first day after inoculation in the culture medium as the cultivation start date, set the induction formation period according to the cultivation historical data, and set an early observation point between the cultivation start date and the induction formation period. When the cultivation time reaches the early observation point, obtain the culture medium image and obtain the coverage area and density distribution of the mycelium on the culture medium;
[0008] Set a coverage area threshold, compare the coverage area of the mycelium on the culture medium with the coverage area threshold. When the coverage area of the mycelium on the culture medium is less than the coverage area threshold, it is estimated that the yield and quality of Auricularia delicata will decline under this growth trend, and implement the production environment regulation strategy;
[0009] The production environment regulation strategy includes judging the growth tendency of the mycelium according to the high and low growth densities of the mycelium in different directions on the culture medium, and implementing remedial measures for the areas with lower growth tendency of the mycelium.
[0010] In some embodiments, the specific method for judging the growth tendency of the mycelium is to divide the culture medium image into 3×3 matrix regions, namely the middle region, upper region, lower region, left region, right region, upper left region, upper right region, lower left region and lower right region, set a coverage degree threshold, and obtain the area proportion of the mycelium occupying each region. Compare the area proportions of the mycelium occupying different regions with the coverage degree threshold, and make corresponding responses according to the comparison results.
[0011] In some embodiments, if the area proportion of the mycelium occupying the corresponding region exceeds the coverage degree threshold, mark this region as a high-tendency region; if the area proportion of the mycelium occupying the corresponding region does not exceed the coverage degree threshold, mark this region as a low-tendency region.
[0012] In some embodiments, the remedial measures for the low-tendency regions are: prepare an appropriate amount of nutrient solution in a sterile environment, and evenly apply it to the low-tendency regions with a pipette or sprayer to promote the improvement of the nutrient level in this region and strengthen the air circulation in the cultivation environment.
[0013] In some embodiments, set a remedial effect observation point, obtain the difference ratio of the high- and low-tendency region at the early observation point, and obtain the difference ratio of the high- and low-tendency region at the remedial effect observation point. Subtract the two difference ratios of the high- and low-tendency region obtained at the early observation point and the remedial effect observation point to get the remedial ratio difference, and set a ratio difference threshold. Compare the remedial ratio difference with the ratio difference threshold, and make corresponding responses according to the comparison results.
[0014] In some embodiments, when the remedial ratio difference is greater than the ratio difference threshold, generate a notice of successful adjustment of the low-tendency region; when the remedial ratio difference is less than or equal to the ratio difference threshold, implement the formation period extension estimation strategy.
[0015] In some embodiments, the specific method for obtaining the difference ratio of the high- and low-tendency region is to average the area proportions of the mycelium occupying the corresponding regions in the high-tendency regions to obtain the high-tendency ratio average value, and average the area proportions of the mycelium occupying the corresponding regions in the low-tendency regions to obtain the low-tendency ratio average value. Divide the low-tendency ratio average value by the high-tendency ratio average value to obtain the difference ratio of the high- and low-tendency region.
[0016] In some embodiments, implementing the extended formation period prediction strategy includes obtaining the low-tendency area growth amount by subtracting the average low-tendency ratio at the remediation effect observation point from the average low-tendency ratio at the early observation point, and obtaining the predicted daily growth amount of the low-tendency area by dividing the low-tendency area growth amount by the number of days from the early observation point to the remediation effect observation point. The hypha proportion difference Dc = k - Db is obtained through the average low-tendency ratio Db at the remediation effect observation point, where k is an adjustment factor, and the predicted growth cycle is obtained by dividing the hypha proportion difference by the predicted daily growth amount of the low-tendency area. Then, the sum of the predicted growth cycle and the number of days of cultivation is used to replace the induction formation period to extend the cultivation cycle of Auricularia delicata.
[0017] In some embodiments, the culture medium adopts a square culture medium so that when the image acquisition device obtains the image information of the hyphae on the culture medium, the culture medium can cover the entire acquired image.
[0018] The present invention further provides a computer-readable storage medium storing a computer program, and the computer program is executed by a processor to implement the above-mentioned intelligent control method for the cultivation process of Auricularia delicata.
[0019] The technical solution provided by the present invention has the following beneficial effects compared with the prior art:
[0020] First, by setting the early observation point, the present invention obtains the coverage area and distribution of the hyphae on the culture medium, enabling real-time monitoring of the hypha expansion state during the cultivation process. According to the early expansion growth of the hyphae, the cultivation efficiency and quality of Auricularia delicata are predicted, and problems of insufficient hypha expansion can be found early, providing a basis for subsequent remedial measures and reducing the risk of affecting the formation and yield of fruiting bodies due to poor hypha growth in the later stage.
[0021] Second, by dividing the culture medium into multiple regions, the present invention can accurately quantify the hypha coverage of each region, reflect the differences in the regional distribution of the hyphae on the culture medium in real time, and can perform targeted remediation on the low-tendency regions according to the growth differences of the hyphae in each direction, ensuring the balanced expansion of the hyphae in each region, and thus achieving higher consistency during the induction formation period.
[0022] Third, by converting the hypha coverage differences between the low-tendency regions and the high-tendency regions before and after remediation into numerical indicators, the present invention can timely feedback the remediation effect, facilitating the cultivation personnel to quickly adjust the management strategy or take further measures. When the remediation effect is not ideal, the induction formation period is extended by predicting the expansion growth efficiency of the hyphae in the low-tendency regions, allowing the low-tendency regions to obtain more growth time, thereby achieving the growth balance of the overall hyphae. Description of the Drawings
[0023] Figure 1 It is a schematic flow chart of an intelligent control method for the cultivation process of Auricularia delicata in the present invention;
[0024] Figure 2 It is a schematic diagram of the division of the culture medium image area in the present invention. Specific embodiments
[0025] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
[0026] It can be understood that the term "one" should be understood as "at least one" or "one or more". That is, in one embodiment, the number of an element can be one, while in other embodiments, the number of the element can be multiple. The term "one" cannot be understood as a limitation on the quantity.
[0027] The present invention provides an intelligent control method for the cultivation process of Auricularia delicata, as Figure 1 and Figure 2 shown. The method includes the following steps:
[0028] Step 1: Select suitable organic raw materials and configure them into a culture medium, perform high-temperature sterilization treatment on the culture medium to eliminate miscellaneous bacteria and ensure a pure nutrient environment, then inoculate the strain into the sterilized culture medium, and place the culture medium in a cultivation environment where the humidity, temperature, carbon dioxide concentration, and air circulation degree can be regulated after inoculation, so that the mycelium can expand and grow in the culture medium in a suitable environment, absorb nutrients, and decompose organic matter;
[0029] Step 2: Set the first day of inoculation in the culture medium as the starting day of cultivation. According to the historical cultivation data of Auricularia delicata, set the induction formation period. The induction formation period refers to the period when, after the mycelium fully fills the culture medium, the mycelium is induced to transform into fruiting bodies, i.e., Auricularia delicata, by adjusting environmental conditions (such as reducing the carbon dioxide concentration, appropriately increasing ventilation, adjusting temperature and humidity). The specific setting time of the induction formation period should be based on the average time used for the strain to be induced and transformed into fruiting bodies from the starting day of cultivation in the historical cultivation data of Auricularia delicata. In actual operation, it is generally 30 - 40 days after inoculation. And set an early observation point between the starting day of cultivation and the induction formation period. When the cultivation time reaches the early observation point, obtain the image information of the culture medium through an image acquisition device, and use image segmentation algorithms (such as threshold segmentation, Canny edge detection, etc.) to extract the mycelium contour in the image to obtain the coverage area and density distribution of the mycelium on the culture medium. It should be noted that the setting of the early observation point should be combined with the historical cultivation data of Auricularia delicata. Generally, 10 - 15 days after inoculation, the growth rate and coverage area of the mycelium on the culture medium will show obvious changes. Therefore, the early observation point should be set on the 10th - 15th day after the starting day of cultivation;
[0030] Step 3: Set a coverage area threshold, and compare the coverage area of the mycelium on the culture medium with the coverage area threshold. When the coverage area of the mycelium on the culture medium is greater than or equal to the coverage area threshold, it indicates that when the mycelium grows to the early observation point, its growth and expansion on the culture medium are in good condition, and a notice of good cultivation status can be generated; when the coverage area of the mycelium on the culture medium is less than the coverage area threshold, it indicates that when the mycelium grows to the early observation point, its growth and expansion on the culture medium do not meet the expectations, and the low growth rate of expansion results in a small initial coverage area. Therefore, it can be estimated that the yield and quality of Auricularia delicata will decline under this growth trend of the mycelium, and a cultivation dynamic remedial strategy should be implemented;
[0031] Step 4: The cultivation dynamic remedial strategy includes judging the growth tendency of the mycelium according to the high and low growth density of the mycelium in different directions on the culture medium, and implementing remedial measures for the areas with a lower growth tendency of the mycelium;
[0032] The specific method of judging the growth tendency of the mycelium is to divide the culture medium image into a 3×3 matrix area, which are the middle area, upper area, lower area, left area, right area, upper left area, upper right area, lower left area, and lower right area (such as Figure 2), set the coverage threshold, and obtain the area ratio of the mycelium occupying each region. Compare the area ratios of the mycelium occupying different regions with the coverage threshold. If the area ratio of the mycelium occupying the corresponding region exceeds the coverage threshold, it indicates that the growth tendency of the mycelium in this region is high, and mark this region as a high-tendency region; if the area ratio of the mycelium occupying the corresponding region does not exceed the coverage threshold, it indicates that the growth tendency of the mycelium in this region is low, and mark this region as a low-tendency region. For example, set the early observation point to 10 days, then obtain the culture medium image on the 10th day of cultivation, and compare the coverage area of the mycelium on the culture medium with the coverage area threshold. Set the coverage area threshold to 30%, and the coverage area of the mycelium on the culture medium is 25%. It should be noted here that the coverage area of the mycelium on the culture medium is obtained according to the ratio of the area covered by the mycelium to the area of the entire culture medium image. For example, if the total number of pixels in the culture medium image is 10,000 and the number of pixels detected for the mycelium is 2,500, then the coverage area of the mycelium is 25%. Since the coverage area of the mycelium on the culture medium is less than the coverage area threshold, the cultivation dynamic remedy strategy is implemented. The coverage threshold can be set according to the historical mean values of different regions in the historical cultivation data, or can be set according to the actually detected mycelium coverage area. Since the mycelium coverage area is 25%, set the coverage threshold to 25% as well. Set the area ratios of the mycelium occupying the middle region, upper region, lower region, left region, right region, upper left region, upper right region, lower left region, and lower right region to 40%, 35%, 35%, 5%, 28%, 15%, 26%, 15%, and 26% respectively. From the above, it can be obtained that the left region (5%), upper left region (15%), and lower left region (15%) are low-tendency regions, and the remaining regions are high-tendency regions.
[0033] The remedy measures for the low-tendency regions are as follows: Prepare an appropriate amount of nutrient solution in a sterile environment, and evenly apply it to the low-tendency regions with a pipette or sprayer to promote the improvement of the nutrient level in this region to approach the mycelium growth conditions in the high-tendency regions. This is because in the Auricularia delicata growth environment established in this scheme, the culture environment of the culture medium is set to be suitable, avoiding abnormal mycelium growth trends caused by environmental factors. And at this time, if the mycelium still has an unsatisfactory growth trend, after excluding environmental factors, it is basically due to the uneven mixing of nutrients and other additives in the culture medium during the preparation process, which will result in a relatively low local nutrient concentration and affect the mycelium expansion speed. At the same time, moderately strengthen the air circulation in the cultivation environment, which helps to create a more uniform microenvironment and improve the gas exchange and temperature and humidity balance in the local area after nutrient remedy.
[0034] After implementing the remedial measures, set the remedial effect observation point. The remedial effect observation point can be set 5 - 7 days after the early observation point. First, obtain the ratio of the difference in the high and low tendency areas at the early observation point, and obtain the ratio of the difference in the high and low tendency areas at the remedial effect observation point. Subtract the two ratios of the difference in the high and low tendency areas obtained at the early observation point and the remedial effect observation point to get the remedial ratio difference, and set the ratio difference threshold. Compare the size of the remedial ratio difference with the ratio difference threshold, and make corresponding responses according to the comparison results. Specifically, when the remedial ratio difference is greater than the ratio difference threshold, it means that after implementing the remedial measures for the low tendency area, the growth efficiency of the hyphae in the low tendency area catches up with the growth efficiency of the high tendency area, and the remedial measures have achieved the desired effect, then generate a notice of successful adjustment of the low tendency area; when the remedial ratio difference is less than or equal to the ratio difference threshold, it means that after implementing the remedial measures for the low tendency area, the growth efficiency of the hyphae in the low tendency area still fails to catch up with the growth efficiency of the high tendency area, and the effect of the remedial measures is not ideal, then implement the extended formation period estimation strategy.
[0035] The specific method for obtaining the ratio of the area difference between the high and low tendency regions is as follows: calculate the average value of the area ratio of the middle hyphae occupying the corresponding region in the high tendency region to obtain the average high tendency ratio, and calculate the average value of the area ratio of the middle hyphae occupying the corresponding region in the low tendency region to obtain the average low tendency ratio. Then, divide the average low tendency ratio by the average high tendency ratio to obtain the ratio of the area difference between the high and low tendency regions. It should be noted here that when obtaining the average high tendency ratio and the average low tendency ratio at the observation point of the remedial effect, if the average low tendency ratio is greater than or equal to the average high tendency ratio at this time, it is directly determined that the growth efficiency of the hyphae in the low tendency region has caught up with that in the high tendency region, and the remedial measure has achieved an ideal effect, and a notice of successful adjustment of the low tendency region is generated. Taking the above embodiments as an example, assume that at the early observation point, the area ratios of the hyphae occupying the middle region, upper region, lower region, left region, right region, upper left region, upper right region, lower left region, and lower right region are 40%, 35%, 35%, 5%, 28%, 15%, 26%, 15%, and 26% respectively. It can be obtained that the average high tendency ratio is 31.6%, and the average low tendency ratio is 11.6%, that is, the ratio of the area difference between the high and low tendency regions at the early observation point is 36%. Assume that after the remedial measure is taken, at the observation point of the remedial effect, the area ratios of the hyphae occupying the middle region, upper region, lower region, left region, right region, upper left region, upper right region, lower left region, and lower right region are 45%, 40%, 40%, 30%, 35%, 30%, 40%, 28%, and 41% respectively. The average low tendency ratio of the left region (30%), upper left region (30%), and lower left region (28%) in the low tendency region is 29.3%, while the average high tendency ratio is 40.1%. Then, the ratio of the area difference between the high and low tendency regions at the observation point of the remedial effect is 73%, and the difference in the remedial ratio can be obtained as 37%. Assume that the threshold value of the ratio difference is 25%. Since the difference in the remedial ratio is greater than the threshold value of the ratio difference, a notice of successful adjustment of the low tendency region is generated.
[0036] Implementing the extended formation period estimation strategy includes obtaining the growth increment of the low-tendency area by subtracting the average value of the low-tendency ratio at the remedial effect observation point from the average value of the low-tendency ratio at the early observation point, and obtaining the estimated daily growth increment of the low-tendency area by dividing the growth increment of the tendency area by the number of days from the early observation point to the remedial effect observation point. Obtain the hypha proportion difference Dc = k - Db through the average value Db of the low-tendency ratio at the remedial effect observation point, where k is a regulation factor of 0.7 - 1, and obtain the estimated growth cycle by dividing the hypha proportion difference by the estimated daily growth increment of the low-tendency area. Then, sum the estimated growth cycle and the number of days already cultivated to replace the induction formation period to extend the cultivation cycle of Auricularia delicata. For example, if the preset induction formation period is 30 days, when the difference in the remedial ratio is less than the ratio difference threshold, the average value of the low-tendency ratio at the remedial effect observation point is 21.6%, and the average value of the low-tendency ratio at the early observation point is 11.6%. The growth increment of the low-tendency area can be obtained as 10%. If the number of days from the early observation point to the remedial effect observation point is set to 5 days, the estimated daily growth increment of the low-tendency area is 2%. If the regulation factor k is set to 0.7, the hypha proportion difference can be obtained as 48.4%, that is, the estimated growth cycle is 24 days. Since the number of days already cultivated is 15 days, the sum of the estimated growth cycle and the number of days already cultivated is 39 days. Then, the induction formation period is set from 30 days to 39 days to extend the cultivation cycle of Auricularia delicata. This is because when the growth trend of the hypha after implementing the remedial measures is still not ideal, it indicates that the problem of abnormal hypha growth trend may also be that during the sowing or liquid spawn distribution process, there is no sufficient mixing or uniform spraying, and the inoculation amount in some areas is less, which will directly lead to a low initial growth density of the hypha. Therefore, when the effect of the remedial measures is not ideal, extending the induction formation period can allow the hypha in the low-tendency area to obtain more time for compensatory growth, thereby narrowing the growth gap between the high- and low-tendency areas and achieving the purpose of overall hypha growth balance. Although the cultivation cycle is extended, it can ensure the quality of Auricularia delicata, guarantee the excellent quality of the growth and cultivation of Auricularia delicata, and make the quality of cultivated Auricularia delicata consistent. The above method takes data quantification as the core and realizes the scientific determination of growth differences through the precise monitoring of the local coverage rates of each part of the hypha. After the remedial measures, if the growth of the hypha in the low-tendency area is significantly improved, the gap with the dominant area is narrowed, and the overall expansion tends to be balanced, it will be notified in time. Otherwise, the induction formation period will be extended. Its advantages lie in real-time feedback, risk warning, and dynamic regulation. At the same time, extending the induction formation period provides sufficient compensation opportunities for the weak growth area. Through this method, the risk of abnormal growth trend of the hypha during the growth process can be reduced, the balance of the hypha during the cultivation of Auricularia delicata and the consistency of the formation of fruiting bodies in the later stage can be effectively improved, and the cultivation benefits of Auricularia delicata can be guaranteed.
[0037] It should be noted that the culture medium adopted in this solution should be made square. At present, many cultivation systems will design the shape of the culture medium according to production needs and equipment conditions. The adoption of a square culture medium in this solution has the following advantages: First, it is convenient for standardized production. Square culture media are easy to arrange, stack, and manage uniformly. Under the same area, the square design is usually more conducive to making full use of the cultivation space. Second, when obtaining the image information of the mycelium on the culture medium through an image acquisition device, the square culture medium can cover the entire acquired image, so as to more reasonably estimate the growth situation of Auricularia delicata based on the area covered by the mycelium.
[0038] Generally speaking, the present invention aims to design an intelligent control method for the cultivation process of Auricularia delicata. In order to be able to estimate the suitability of the growth conditions of Auricularia delicata and carry out reasonable regulation, the present invention obtains the coverage area and distribution of the mycelium on the culture medium by setting early observation points, so that the expansion state of the mycelium during the cultivation process can be monitored in real time. According to the early expansion growth situation of the mycelium, the cultivation efficiency and quality of Auricularia delicata are estimated. The problem of insufficient mycelium expansion can be discovered at an early stage, providing a basis for subsequent remedial measures and reducing the risk of affecting the formation and yield of fruiting bodies due to poor mycelium growth in the later stage. By dividing the culture medium into multiple regions, the mycelium coverage of each region can be accurately quantified, and the differences in the regional distribution of the mycelium on the culture medium can be reflected in real time. According to the growth differences of the mycelium in each direction, targeted remedies can be carried out on low-tendency regions to ensure the balanced expansion of the mycelium in each region, so as to achieve higher consistency during the induction formation period. By converting the mycelium coverage differences between low-tendency regions and high-tendency regions before and after remediation into numerical indicators, the remediation effect can be timely feedback, which is convenient for cultivation personnel to quickly adjust management strategies or take further measures. When the remediation effect is not ideal, the induction formation period is extended by estimating the expansion growth efficiency of the mycelium in low-tendency regions, so that the low-tendency regions can obtain more growth time, thereby achieving the growth balance of the overall mycelium and ensuring the formation quality of subsequent fruiting bodies (Auricularia delicata). Generally speaking, by obtaining mycelium growth data respectively in the early stage and after remediation, implementing estimation feedback and timely intervention, it helps to reduce the adverse effects of local weak growth on the final yield and quality of Auricularia delicata, and ensure an ideal cultivation process for Auricularia delicata.
[0039] Embodiments disclosed in the present invention. The processes described above with reference to the flowcharts can be implemented as computer software programs. Embodiments disclosed in the present invention include a computer program product, which includes a computer program carried on a computer-readable medium. The computer program contains program code for performing the methods shown in the flowcharts. In such an embodiment, the computer program can be downloaded and installed from a network through a communication section, and / or installed from a removable medium. When the computer program is executed by a central processing unit, the above-mentioned functions defined in the methods of the present application are performed. It should be noted that the computer-readable medium mentioned above in the present application can be a computer-readable signal medium or a computer-readable storage medium or any combination of the two. A computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples of a computer-readable storage medium can include, but are not limited to: an electrical connection having one or more wire segments, a portable computer disk, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory, an optical fiber, a portable compact disk read-only memory, an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. And in the present application, a computer-readable signal medium can include a data signal propagated in a baseband or as part of a carrier wave, which carries computer-readable program code. Such a propagated data signal can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted by any appropriate medium, including but not limited to: wireless, wire segments, optical cables, RF, etc., or any suitable combination of the above.
[0040] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagram may represent a module, a segment of a program, or a portion of code that contains one or more executable instructions for implementing a specified logical function. It should also be noted that, in some alternative implementations, the functions noted in the blocks may occur in a different order than that noted in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, or they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and combinations of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system that performs the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.
[0041] Those skilled in the art should understand that the above description is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by those skilled in the art within the technical scope disclosed in the present application should be covered by the protection scope of the present application.
Claims
1. An intelligent control method for the cultivation process of Auricularia auricula, characterized in that: The method comprises the following steps: Select appropriate organic raw materials and prepare them into a culture medium, then inoculate the bacteria into the sterilized culture medium, and after inoculation, place the culture medium in a cultivation environment where humidity, temperature, carbon dioxide concentration and air circulation can be controlled, so that the mycelium can expand and grow in the culture medium in a suitable environment; The first day of inoculation in the culture medium is set as the cultivation start date, the induction formation period is set according to the cultivation history data, and an early observation point between the cultivation start date and the induction formation period is set. When the cultivation time reaches the early observation point, the culture medium image is obtained to obtain the coverage area and density distribution of the hyphae on the culture medium; A coverage area threshold is set, and the coverage area of the mycelium on the culture medium is compared with the coverage area threshold. When the coverage area of the mycelium on the culture medium is less than the coverage area threshold, it is estimated that the mycelium will cause the yield and quality of the wrinkled fungus to decrease under this growth trend, and the production environment control strategy is implemented; The production environment control strategy includes determining the growth tendency of mycelium according to the growth density of mycelium in different directions on the culture medium, and executing remedial measures for areas with lower mycelium growth tendency.
2. The intelligent control method for the cultivation process of Auricularia auricula according to claim 1, characterized in that: The specific method for judging the hyphae growth tendency is to divide the culture medium image into 3×3 matrix areas, namely the middle area, upper area, lower area, left area, right area, upper left area, upper right area, lower left area and lower right area, set the coverage degree threshold, and obtain the area ratio of the hyphae in each area, compare the area ratio of the hyphae in different areas with the coverage degree threshold, and make corresponding responses according to the comparison results.
3. The intelligent control method for the cultivation process of Auricularia auricula according to claim 2, characterized in that: If the area ratio of the hyphae in the corresponding region exceeds the coverage threshold, the region is marked as a high tendency region; if the area ratio of the hyphae in the corresponding region does not exceed the coverage threshold, the region is marked as a low tendency region.
4. The intelligent control method for the cultivation process of Auricularia auricula according to claim 3, characterized in that: The remedial measures for low-inclination areas are: prepare an appropriate amount of nutrient solution in a sterile environment, and use a pipette or sprayer to evenly apply it to the low-inclination area to increase the nutrient level in the area and enhance the air circulation in the cultivation environment.
5. The intelligent control method for the cultivation process of Auricularia auricula according to claim 4, characterized in that: Set the remedial effect observation point, obtain the high and low tendency area difference ratio at the early observation point, and obtain the high and low tendency area difference ratio at the remedial effect observation point, calculate the difference between the two high and low tendency area difference ratios obtained at the early observation point and the remedial effect observation point to obtain the remedial proportion difference, set the proportion difference threshold, compare the remedial proportion difference with the proportion difference threshold, and make corresponding responses according to the comparison results.
6. The intelligent control method for the cultivation process of Auricularia auricula according to claim 5, characterized in that: When the remedial proportion difference is greater than the proportion difference threshold, a notification of successful adjustment of the low tendency area is generated; when the remedial proportion difference is less than or equal to the proportion difference threshold, the formation period extension estimation strategy is executed.
7. The intelligent control method for the cultivation process of Auricularia auricula according to claim 6, characterized in that: The specific method for obtaining the difference ratio between high and low tendency areas is to average the area ratios of the corresponding areas occupied by the middle hyphae in the high tendency areas to obtain the mean of the high tendency ratio, and average the area ratios of the corresponding areas occupied by the middle hyphae in the low tendency areas to obtain the mean of the low tendency ratio, and divide the mean of the low tendency ratio by the mean of the high tendency ratio to obtain the difference ratio between high and low tendency areas.
8. The intelligent control method for the cultivation process of Auricularia auricula according to claim 7, characterized in that: The implementation of the formation period extension estimation strategy includes obtaining the growth amount of the low tendency area by taking the difference between the low tendency ratio mean at the remedial effect observation point and the low tendency ratio mean at the early observation point, and obtaining the estimated daily growth amount of the low tendency area by dividing the growth amount of the tendency area by the number of days from the early observation point to the remedial effect observation point, obtaining the mycelium proportion difference Dc=k-Db through the low tendency ratio mean Db of the remedial effect observation point, k is the adjustment factor, and obtaining the estimated growth cycle by dividing the mycelium proportion difference by the estimated daily growth amount of the low tendency area, and summing the estimated growth cycle with the number of days already cultivated to replace the induced formation period, so as to extend the cultivation period of wrinkled wood ear.
9. The intelligent control method for the cultivation process of Auricularia auricula according to claim 8, characterized in that: The culture medium adopts a square culture medium, so that when the image acquisition device acquires image information of hyphae on the culture medium, the culture medium can cover the entire acquired image.
10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement the intelligent control method for the cultivation process of Auricularia auricularia auricula as described in any one of claims 1 to 9.
Citation Information
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