Intestinal microorganism evaluation system and method based on dairy cow diarrhea pathogen analysis

Abstract

The invention discloses an intestinal microbiological evaluation system and method based on dairy cow diarrhea pathogen analysis, and belongs to the field of electronic data processing. Dairy cow diarrhea reason evaluation is carried out based on the predicted matching degree of microbial diet influence and diarrhea time of diarrhea dairy cows, and the diarrhea time of the dairy cows is evaluated by comparing fecal microflora of the diarrhea dairy cows and fecal microflora of normal dairy cows. Potential pathogenic microorganisms related to diarrhea can be identified, so that the cause of diarrhea can be more accurately diagnosed, the pathological mechanism of diarrhea can be more comprehensively understood in combination with image features of excrement and microflora analysis, formulation of a treatment scheme is helped to be scientifically guided, and by analyzing the influence of microorganisms on dairy cow dietary habits, the dairy cow dietary habits can be more accurately diagnosed. According to the method, the feed formula and feeding conditions of the dairy cow can be optimized, diarrhea can be prevented, the health level of the dairy cow can be improved, the evaluation precision of diarrhea reasons can be improved based on the prediction model of the microbial diet influence in combination with the matching degree of diarrhea time, and a scientific basis is provided for clinical veterinary decision making.

Description

Technical Field

[0001] The present application belongs to the field of electronic data processing, and more specifically, is an intestinal microorganism evaluation system and method based on the analysis of pathogens of dairy cow diarrhea. Background Art

[0002] Cow diarrhea is a common disease, usually caused by problems in the digestive system. The main causes of cow diarrhea are: pathogenic microorganisms, such as bacteria (e.g., Escherichia coli), viruses (e.g., bovine viral diarrhea virus) or parasites (e.g., coccidia) cause cow diarrhea. Cow diarrhea not only affects the health and productivity of dairy cows, but may also lead to a decrease in milk production and quality. Therefore, timely diagnosis and treatment are very important. Therefore, it is necessary to evaluate the intestinal microorganisms during cow diarrhea to quickly find potential pathogenic microorganisms related to diarrhea. At this time, an intestinal microbial evaluation system based on the pathogen analysis of cow diarrhea is needed; However, there are a series of problems in the existing intestinal microbial assessment process for dairy cow diarrhea. In the process of intestinal microbial assessment for dairy cow diarrhea, it is impossible to accurately compare the fecal microbial communities of diarrheal and normal dairy cows, identify potential pathogenic microorganisms related to diarrhea, and it is impossible to combine the image features of feces with microbial community analysis, resulting in an inability to fully understand the pathological mechanism of diarrhea. At the same time, it is impossible to integrate the prediction model of the impact of microbial diet with the matching degree of diarrhea time, resulting in low evaluation efficiency and accuracy of the cause of diarrhea. Most of the existing technologies have the above problems; In order to solve the problems raised by the background technology, the present application designs an intestinal microbial evaluation system and method based on the analysis of pathogens of dairy cow diarrhea. Summary of the invention

[0003] In response to the deficiencies of the prior art, the present application proposes an intestinal microbial evaluation system and method based on the pathogen analysis of dairy cow diarrhea. The present application evaluates the cause of dairy cow diarrhea based on the predicted microbial dietary impact and the matching degree of diarrhea time of diarrhea cows. By comparing the fecal microbial communities of diarrheal and normal dairy cows, potential pathogenic microorganisms related to diarrhea can be identified, thereby more accurately diagnosing the cause of diarrhea. Combining the image features of feces and microbial community analysis, a more comprehensive understanding of the pathological mechanism of diarrhea can be achieved, which helps to scientifically guide the formulation of treatment plans. By analyzing the impact of microorganisms on the eating habits of dairy cows, the feed formula and feeding conditions of dairy cows can be optimized, the occurrence of diarrhea can be prevented, and the health level of dairy cows can be improved. The predictive model based on the impact of microbial diet, combined with the matching degree of diarrhea time, can improve the accuracy of the assessment of the cause of diarrhea and provide a scientific basis for clinical veterinary decision-making.

[0004] To achieve the above objectives, the present application provides the following technical solution: an intestinal microbial evaluation method based on the analysis of pathogens of dairy cow diarrhea, which comprises the following specific steps: S1. Obtain the composition of various microbial communities in diarrhea cow feces, compare it with normal cow feces, obtain potential pathogenic microorganisms, and obtain feces image features; S2, analyzing the microbial characteristics associated with diarrheal cows based on fecal image features and potential pathogenic microorganism characteristics; S3, predict the dietary impact of microorganisms based on the analysis of microbial characteristics related to diarrhea cows and the dietary habits of diarrhea cows; S4. Evaluate the cause of diarrhea in dairy cows based on the predicted microbial dietary impact and the degree of matching between the time of diarrhea and the diarrhea cows.

[0005] It should be noted here that as a preferred technical solution for the intestinal microbial evaluation method based on the pathogen analysis of dairy cow diarrhea, the composition of various microbial communities in the feces of diarrhea dairy cows is obtained, and it is compared with the feces of normal dairy cows to obtain potential pathogenic microorganisms therein, and the feces image features are obtained, including the following specific contents: Obtain feces samples from diarrheal dairy cows, obtain the abundance data and microbial species data of each microorganism in the feces samples of diarrheal dairy cows by gene sequencing, and compare them with the abundance data and microbial species data of each microorganism in the feces of normal dairy cows, obtain the corresponding microbial species whose microbial abundance is not within the normal range, set them as potential pathogenic microorganisms, and store the collected data in a storage module; The color and morphological data of the feces image of the diarrhea cow are obtained, and the dietary record data of the cow during the cycle is obtained, and the collected data is stored in the storage module.

[0006] It should be noted that as a preferred technical solution for the intestinal microbial evaluation method based on the analysis of the pathogen of dairy cow diarrhea, the analysis of the microbial characteristics related to diarrhea dairy cows based on fecal image features and potential pathogenic microbial characteristics includes the following specific steps: S21, obtaining color and morphological data of the feces image of the diarrhea cow, and obtaining color and morphological data of the feces image of the pathogenic microorganism that has been identified in the past, wherein the morphological data includes size and shape data, performing feces similarity analysis, and then obtaining the first probability of the pathogenic microorganism; The specific steps include: S211, obtaining the color of the diarrhea cow feces image and the color of the feces image of the identified pathogenic microorganisms and importing them into a color similarity calculation formula to calculate the color similarity; wherein the color similarity calculation formula may be a Euclidean distance or a cosine similarity calculation method; S212, obtaining the morphological data of the diarrhea cow feces image and the color of the feces image of the identified pathogenic microorganisms and importing them into a morphological similarity calculation formula to calculate the morphological similarity, wherein the morphological similarity calculation formula is: the intersection area of ​​the two images divided by the union area of ​​the two images; S213, obtaining the calculated color similarity and morphological similarity, performing weighted summation to obtain the feces similarity, and setting the feces similarity of the feces image corresponding to the historically identified pathogenic microorganism as the first probability of the pathogenic microorganism corresponding to the historically identified pathogenic microorganism; S22, obtaining the corresponding microbial species whose abundance in the feces of the diarrheal dairy cow is not within the normal range, and introducing the proportion of the corresponding microbial species whose abundance exceeds the normal range and the number of times the corresponding microbial species has caused dairy cow diarrhea in the past into the second probability calculation formula of the pathogenic microorganism to calculate the second probability of the pathogenic microorganism; In this step, the second probability of pathogenic microorganisms causing diarrhea is analyzed by the abundance of microbial species and the number of times the corresponding microbial species have caused diarrhea in dairy cows in history; S23, obtaining a first probability of the pathogenic microorganism and a second probability of the pathogenic microorganism corresponding to the pathogenic microorganism, performing weighted summation to obtain the influence probability of the corresponding pathogenic microorganism, and obtaining the corresponding pathogenic microorganism whose influence probability is greater than or equal to the set probability as the microorganism associated with diarrhea cows.

[0007] It should be noted here that as a preferred technical solution for the intestinal microbial evaluation method based on the analysis of the pathogen of diarrhea in dairy cows, the method of predicting the dietary impact of microorganisms based on the analysis of the microbial characteristics related to diarrhea cows and the dietary habits of diarrhea cows includes the following specific steps: S31, obtaining the abundance of microbial species related to the diarrhea cows and the content data of microbial species detected in various diets of the diarrhea cows, wherein the diet of the diarrhea cows includes various feed and drinking water; S32. Analyze the dietary effects of various diets on cows with diarrhea based on the abundance of microbial species associated with cows with diarrhea and the data on microbial species detected in various diets of cows with diarrhea.

[0008] In this step, the effect of the diet is predicted by the similarity of the microbial content of the diet to the microbes associated with diarrheal cows; It should be noted here that as a preferred technical solution for the intestinal microbial evaluation method based on the pathogen analysis of dairy cow diarrhea, the cause evaluation of dairy cow diarrhea based on the predicted microbial dietary impact and the matching degree of the diarrhea time of the diarrhea dairy cow includes the following specific contents: S41, obtaining the feeding time, diet type and diarrhea time of the dairy cow within the cycle, and obtaining the matching degree of the diarrhea time and the diet type based on the feeding time, diet type and diarrhea time of the dairy cow, that is, the time influence probability; S42, obtaining the calculated matching degree between diarrhea time and diet type and the dietary effects of various diets on dairy cows with diarrhea, and performing weighted summation to obtain the total effect of the corresponding diet type on diarrhea; S43, obtaining the total effects of corresponding diet types on diarrhea and arranging them in descending order, obtaining several corresponding diet types that are ranked in the front and setting them as the diet causes of diarrhea in dairy cows, and sending them to the client, so that the client changes the diet.

[0009] It is necessary to explain here the method of obtaining the various weighted weights in the present application: obtain the historical data of diarrhea cows and substitute it into the various steps of the present application to analyze the total impact of the corresponding diet type on diarrhea, and at the same time obtain the inspection results of the staff on abnormal diet types, and import the inspection results and the total impact of the corresponding diet type on diarrhea obtained by analysis into the fitting software to continuously fit and iterate the data, and output the value of each weighted weight in the present application that meets the maximum inspection accuracy.

[0010] The intestinal microorganism evaluation system based on the pathogen analysis of dairy cow diarrhea is implemented based on the intestinal microorganism evaluation method based on the pathogen analysis of dairy cow diarrhea, and specifically includes the following modules: Acquisition module: obtains the composition of various microbial communities in the feces of diarrhea cows, compares it with the feces of normal cows, obtains potential pathogenic microorganisms, and obtains feces image features; Microbial feature analysis module: Analyzes the microbial features related to diarrhea cows based on fecal image features and potential pathogenic microbial features; Dietary impact prediction module: Based on the analysis of microbial characteristics related to diarrhea cows and the dietary habits of diarrhea cows, the dietary impact of microorganisms is predicted; Diarrhea Cause Assessment Module: Evaluate the cause of diarrhea in dairy cows based on the predicted microbial diet impact and the matching degree of diarrhea time with diarrhea cows.

[0011] An electronic device comprises: a processor and a memory, wherein the memory stores a computer program that can be called by the processor; The processor executes the above-mentioned intestinal microorganism assessment method based on dairy cow diarrhea pathogen analysis by calling the computer program stored in the memory.

[0012] A computer-readable storage medium stores instructions, which, when executed on a computer, enable the computer to execute the intestinal microorganism assessment method based on the analysis of pathogens of dairy cow diarrhea as described above.

[0013] Compared with the prior art, the beneficial effects of this application are: The present application obtains the composition of various microbial communities in the feces of diarrheal cows, compares it with the feces of normal cows, obtains potential pathogenic microorganisms therein, and simultaneously obtains fecal image features, analyzes the microbial features related to diarrheal cows based on the fecal image features and the potential pathogenic microorganism features, predicts the dietary impact of microorganisms based on the analysis of the microbial features related to diarrheal cows and the dietary habits of diarrheal cows, and evaluates the cause of diarrhea in cows based on the predicted dietary impact of microorganisms and the degree of matching of diarrhea time in diarrheal cows. By comparing the fecal microbial communities of diarrheal and normal cows, potential pathogenic microorganisms related to diarrhea can be identified, thereby more accurately diagnosing the cause of diarrhea. Combining the image features of feces and the analysis of microbial communities can provide a more comprehensive understanding of the pathological mechanism of diarrhea, help scientifically guide the formulation of treatment plans, and by analyzing the impact of microorganisms on the dietary habits of dairy cows, the feed formula and feeding conditions of dairy cows can be optimized, the occurrence of diarrhea can be prevented, and the health level of dairy cows can be improved. The prediction model based on the impact of microbial diet, combined with the degree of matching of diarrhea time, can improve the accuracy of the assessment of the cause of diarrhea, and provide a scientific basis for clinical veterinary decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 This is a schematic diagram of the overall process of the embodiment of the present application method; Figure 2 This is a schematic diagram of the process flow of step S2 of the method embodiment of the present application; Figure 3 This is a schematic diagram of the process flow of step S4 of the method embodiment of the present application; Figure 4 This is a schematic diagram of the process flow of step S21 of the method embodiment of the present application; Figure 5 It is a schematic diagram of the overall framework of the system embodiment of the present application. DETAILED DESCRIPTION

[0015] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0016] It should also be noted that, in this specification, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the statement "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device including the element.

[0017] Example 1

[0018] In order to solve the technical problems raised in the background technology, the present application provides a preferred embodiment: Figure 1-Figure 4 As shown, the intestinal microbial evaluation method based on the analysis of pathogens of dairy cow diarrhea includes the following specific steps: S1. Obtain the composition of various microbial communities in diarrhea cow feces, compare it with normal cow feces, obtain potential pathogenic microorganisms, and obtain feces image features; In this embodiment, the composition of various microbial communities in the feces of diarrhea cows is obtained, and the feces are compared with the feces of normal cows to obtain potential pathogenic microorganisms therein. At the same time, the feces image features obtained include the following specific contents: Obtain feces samples from diarrheal dairy cows, obtain the abundance data and microbial species data of each microorganism in the feces samples of diarrheal dairy cows by gene sequencing, and compare them with the abundance data and microbial species data of each microorganism in the feces of normal dairy cows, obtain the corresponding microbial species whose microbial abundance is not within the normal range, set them as potential pathogenic microorganisms, and store the collected data in a storage module; Obtain the color and morphological data of the feces image of the diarrhea cow, and at the same time obtain the diet record data of the cow during the cycle, and store the collected data in the storage module; S2, analyzing the microbial characteristics associated with diarrheal cows based on fecal image features and potential pathogenic microorganism characteristics; In this embodiment, analyzing microbial features related to diarrhea cows based on feces image features and potential pathogenic microbial features includes the following specific steps: S21, obtaining color and morphological data of the feces image of the diarrhea cow, and obtaining color and morphological data of the feces image of the pathogenic microorganism that has been identified in the past, wherein the morphological data includes size and shape data, performing feces similarity analysis, and then obtaining the first probability of the pathogenic microorganism; The specific steps include: S211, obtaining the color of the feces image of the diarrhea cow and the color of the feces image of the identified pathogenic microorganism, and importing them into the color similarity calculation formula to calculate the color similarity; wherein, the color similarity calculation formula can be a Euclidean distance or a cosine similarity calculation method. If the Euclidean distance method is used to calculate the color similarity, the calculation steps are as follows: first, it is necessary to collect feces images of diarrhea cows and feces images of known pathogenic microorganisms; preprocess these images, including resizing, grayscale (if only grayscale information is considered) or extracting color channels (if color information is considered); extracting color features from the processed images, which usually involves converting the color value (such as RGB value) of each pixel in the image into coordinates in a color space, such as RGB, HSV or Lab color space, and vectorizing the color features of the entire image. The color features of the entire image can be represented by an average value, a weighted average value or other statistical methods; color feature vector: using the RGB color space, for each feces image, a vector containing R (red), G (green) and B (blue) values ​​will be obtained; calculating the Euclidean distance: substituting the vector into the Euclidean distance calculation formula to calculate the Euclidean distance of the image; S212, obtaining the morphological data of the diarrhea cow feces image and the color of the feces image of the identified pathogenic microorganisms and importing them into a morphological similarity calculation formula to calculate the morphological similarity, wherein the morphological similarity calculation formula is: the intersection area of ​​the two images divided by the union area of ​​the two images; S213, obtaining the calculated color similarity and morphological similarity, performing weighted summation to obtain the feces similarity, and setting the feces similarity of the feces image corresponding to the historically identified pathogenic microorganism as the first probability of the pathogenic microorganism corresponding to the historically identified pathogenic microorganism; S22, obtaining the corresponding microbial species whose abundance in the feces of the diarrheal dairy cow is not within the normal range, and introducing the proportion of the corresponding microbial species whose abundance exceeds the normal range and the number of times the corresponding microbial species has caused dairy cow diarrhea in the past into the second probability calculation formula of the pathogenic microorganism to calculate the second probability of the pathogenic microorganism, wherein the second probability calculation formula of the i-th pathogenic microorganism is: , where n is the number of microbial species in the feces of diarrheal dairy cows, fi is the number of times the i-th microbial species causes diarrhea in dairy cows in the corresponding period, exp() is the power of the natural constant e, ki is the abundance of the i-th microbial species, and kim is the maximum value of the normal range of abundance of the i-th microbial species; In this step, the second probability of pathogenic microorganisms causing diarrhea is analyzed by the abundance of microbial species and the number of times the corresponding microbial species have caused diarrhea in dairy cows in history; S23, obtaining a first probability of the pathogenic microorganism and a second probability of the pathogenic microorganism corresponding to the pathogenic microorganism, performing weighted summation to obtain an influence probability of the corresponding pathogenic microorganism, and obtaining a corresponding pathogenic microorganism whose influence probability is greater than or equal to a set probability as a microorganism related to diarrheal cows; S3, predict the dietary impact of microorganisms based on the analysis of microbial characteristics related to diarrhea cows and the dietary habits of diarrhea cows; In this embodiment, the prediction of the dietary impact of microorganisms based on the analysis of the microbial characteristics related to diarrhea cows and the dietary habits of diarrhea cows includes the following specific steps: S31, obtaining the abundance of microbial species related to the diarrhea cows and the content data of microbial species detected in various diets of the diarrhea cows, wherein the diet of the diarrhea cows includes various feed and drinking water; S32. Analyze the dietary effects of various diets on diarrhea cows based on the abundance of microbial species related to diarrhea cows and the microbial species detected in the dietary habits of diarrhea cows. The calculation formula for the dietary effect of the jth diet on diarrhea cows is: , where M is the number of microbial species associated with diarrheal cows detected in the jth diet, Tc is the content of the cth microbial species associated with diarrheal cows detected in the jth diet, Tm is the standard value of the content, and Jc is the influence probability of the cth microbial species associated with diarrheal cows.

[0019] In this step, the effect of the diet is predicted by the similarity of the microbial content of the diet to the microbes associated with diarrheal cows; S4. Evaluate the cause of diarrhea in dairy cows based on the predicted microbial dietary impact and the matching degree of diarrhea time in diarrhea cows; In this embodiment, the cause of diarrhea in dairy cows is evaluated based on the predicted microbial dietary impact and the matching degree of diarrhea time of diarrhea dairy cows, including the following specific contents: S41, obtaining the feeding time, diet type and diarrhea time of dairy cows in a cycle, and obtaining the matching degree between diarrhea time and diet type based on the feeding time, diet type and diarrhea time of dairy cows, that is, the time influence probability, wherein the calculation formula for the matching degree between diarrhea time and the jth diet type is: , where Vj is the number of times the j-th diet type is consumed during the cycle, Uv is the number of times diarrhea occurs after the j-th diet type is consumed during the cycle, is the total amount of diarrhea caused by drinking the jth type of diet for the vth time in the cycle, is the amount of food consumed in the jth diet for the vth time in the cycle, tm is the standard duration of diarrhea, is the time interval between the vth drinking of the jth diet and the uth diarrhea in the cycle; in this formula, by analyzing the temporal matching degree between diet and diarrhea, abnormal diet can be quickly discovered; S42, obtaining the calculated matching degree between diarrhea time and diet type and the dietary effects of various diets on dairy cows with diarrhea, and performing weighted summation to obtain the total effect of the corresponding diet type on diarrhea; S43, obtaining the total effects of corresponding diet types on diarrhea and arranging them in descending order, obtaining several corresponding diet types that are ranked in the front and setting them as the diet causes of diarrhea in dairy cows, and sending them to the client, so that the client changes the diet.

[0020] The advantages of this embodiment over the prior art are as follows: obtaining the composition of various microbial communities in the feces of diarrheal cows, comparing it with the feces of normal cows, obtaining potential pathogenic microorganisms therein, and obtaining fecal image features at the same time, analyzing the microbial features related to diarrheal cows based on the fecal image features and the potential pathogenic microorganism features, predicting the dietary impact of microorganisms based on the analysis of the microbial features related to diarrheal cows and the dietary habits of diarrheal cows, and evaluating the cause of diarrhea in cows based on the predicted microbial dietary impact and the degree of matching of diarrhea time in diarrheal cows. By comparing the fecal microbial communities of diarrheal and normal cows, potential pathogenic microorganisms related to diarrhea can be identified, thereby more accurately diagnosing the cause of diarrhea. Combining the image features of feces and the analysis of microbial communities can provide a more comprehensive understanding of the pathological mechanism of diarrhea, help scientifically guide the formulation of treatment plans, and by analyzing the impact of microorganisms on the dietary habits of dairy cows, the feed formula and feeding conditions of dairy cows can be optimized, the occurrence of diarrhea can be prevented, and the health level of dairy cows can be improved. The prediction model based on the microbial dietary impact combined with the degree of matching of diarrhea time can improve the accuracy of the assessment of the cause of diarrhea, providing a scientific basis for clinical veterinary decision-making.

[0021] Example 2 like Figure 5 As shown, the intestinal microorganism evaluation system based on the pathogen analysis of dairy cow diarrhea is implemented based on the above-mentioned intestinal microorganism evaluation method based on the pathogen analysis of dairy cow diarrhea, and specifically includes: an acquisition module: obtaining the composition of various microbial communities in the feces of diarrhea cows, comparing it with the feces of normal cows, obtaining potential pathogenic microorganisms therein, and obtaining feces image features at the same time; a microbial feature analysis module: analyzing the microbial features related to diarrhea cows based on fecal image features and potential pathogenic microbial features; a dietary impact prediction module: predicting the dietary impact of microorganisms based on the analysis of the microbial features related to diarrhea cows and the dietary habits of diarrhea cows; a diarrhea cause evaluation module: evaluating the cause of dairy cow diarrhea based on the predicted microbial dietary impact and the matching degree of diarrhea time of diarrhea cows.

[0022] Example 3

[0023] This embodiment provides an electronic device, including: a processor and a memory, wherein the memory stores a computer program that can be called by the processor; The processor executes the above-mentioned intestinal microorganism assessment method based on dairy cow diarrhea pathogen analysis by calling the computer program stored in the memory.

[0024] The electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors and one or more memories, wherein the memory stores at least one computer program, and the computer program is loaded and executed by the processor to implement the intestinal microbial assessment method based on the analysis of the pathogen of dairy cow diarrhea provided by the above method embodiment. The electronic device may also include other components for realizing the functions of the device, for example, the electronic device may also have components such as a wired or wireless network interface and an input and output interface to input and output data. This embodiment will not be described in detail here.

[0025] Example 4

[0026] This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon; When the computer program is executed on a computer device, the computer device is caused to execute the above-mentioned intestinal microorganism assessment method based on the analysis of pathogens of dairy cow diarrhea.

[0027] For example, the computer readable storage medium can be a read-only memory, a random access memory, a read-only CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

[0028] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When a computer instruction or computer program is loaded or executed on a computer, a process or function according to an embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network or other programmable device. Computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center through a wired network or / and a wireless network. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

Claims

1. A method for evaluating intestinal microorganisms based on pathogen analysis of dairy cow diarrhea, characterized in that: It includes the following specific steps: S1. Obtain the composition of various microbial communities in diarrhea cow feces, compare it with normal cow feces, obtain potential pathogenic microorganisms, and obtain feces image features; S2, analyzing the microbial characteristics associated with diarrheal cows based on fecal image features and potential pathogenic microorganism characteristics; The specific steps include: S21, obtaining color and morphological data of the feces image of the diarrhea cow, and simultaneously obtaining color and morphological data of the feces image of the pathogenic microorganisms that have been identified in the past to perform feces similarity analysis, and then obtain the first probability of the pathogenic microorganisms; S22, obtaining the corresponding microbial species whose abundance in the feces of the diarrheal dairy cow is not within the normal range, and introducing the proportion of the corresponding microbial species whose abundance exceeds the normal range and the number of times the corresponding microbial species has caused dairy cow diarrhea in the past into the second probability calculation formula of the pathogenic microorganism to calculate the second probability of the pathogenic microorganism; S23, obtaining a first probability of the pathogenic microorganism and a second probability of the pathogenic microorganism corresponding to the pathogenic microorganism, performing weighted summation to obtain an influence probability of the corresponding pathogenic microorganism, and obtaining a corresponding pathogenic microorganism whose influence probability is greater than or equal to a set probability as a microorganism related to diarrheal cows; S3. Predict the dietary impact of microorganisms based on the analysis of microbial characteristics related to diarrhea cows and the dietary habits of diarrhea cows; S4. Evaluate the cause of diarrhea in dairy cows based on the predicted microbial dietary impact and the degree of matching between the time of diarrhea and the diarrhea cows.

2. The intestinal microorganism evaluation method based on the pathogen analysis of dairy cow diarrhea according to claim 1, characterized in that: The method of predicting the dietary impact of microorganisms based on the analysis of the microbial characteristics related to diarrhea cows and the dietary habits of diarrhea cows includes the following specific steps: S31, obtaining the abundance of microbial species related to the diarrhea cows and the content data of microbial species detected in various diets of the diarrhea cows, wherein the diet of the diarrhea cows includes various feed and drinking water; S32. Analyze the dietary effects of various diets on diarrhea cows based on the abundance of microbial species related to diarrhea cows and the microbial species detected in the dietary habits of diarrhea cows. The calculation formula for the dietary effect of the jth diet on diarrhea cows is: , where M is the number of microbial species associated with diarrheal cows detected in the jth diet, Tc is the content of the cth microbial species associated with diarrheal cows detected in the jth diet, Tm is the standard value of the content, and Jc is the influence probability of the cth microbial species associated with diarrheal cows.

3. The intestinal microorganism evaluation method based on the pathogen analysis of dairy cow diarrhea according to claim 2, characterized in that: The acquisition of the first probability of the pathogenic microorganism specifically includes the following steps: S211, obtaining the color of the diarrhea cow feces image and the color of the feces image of the identified pathogenic microorganisms and importing them into a color similarity calculation formula to calculate the color similarity; S212, obtaining the morphological data of the diarrhea cow feces image and the color of the feces image of the identified pathogenic microorganisms and importing them into a morphological similarity calculation formula to calculate the morphological similarity, wherein the morphological similarity calculation formula is: the intersection area of ​​the two images divided by the union area of ​​the two images; S213, obtaining the calculated color similarity and morphological similarity, performing weighted summation to obtain the feces similarity, and setting the feces similarity of the feces image corresponding to the historically identified pathogenic microorganism as the first probability of the pathogenic microorganism corresponding to the historically identified pathogenic microorganism.

4. The intestinal microorganism evaluation method based on the pathogen analysis of dairy cow diarrhea according to claim 3, characterized in that: The method for evaluating the cause of diarrhea in dairy cows based on the predicted microbial dietary impact and the matching degree of diarrhea time in diarrhea dairy cows includes the following specific contents: S41, obtaining the feeding time, diet type and diarrhea time of dairy cows in a cycle, and obtaining the matching degree between diarrhea time and diet type based on the feeding time, diet type and diarrhea time of dairy cows; S42, obtaining the calculated matching degree between diarrhea time and diet type and the dietary effects of various diets on dairy cows with diarrhea, and performing weighted summation to obtain the total effect of the corresponding diet type on diarrhea; S43, obtaining the total effects of corresponding diet types on diarrhea and arranging them in descending order, obtaining several corresponding diet types that are ranked in the front and setting them as the diet causes of diarrhea in dairy cows, and sending them to the client, so that the client changes the diet.

5. The intestinal microorganism evaluation method based on the pathogen analysis of dairy cow diarrhea according to claim 4, characterized in that: The method of obtaining the composition of various microbial communities in the feces of diarrhea cows, comparing it with the feces of normal cows, obtaining potential pathogenic microorganisms therein, and obtaining the feces image features includes the following specific contents: Obtain feces samples from diarrheal dairy cows, obtain the abundance data and microbial species data of each microorganism in the feces samples of diarrheal dairy cows by gene sequencing, and compare them with the abundance data and microbial species data of each microorganism in the feces of normal dairy cows, obtain the corresponding microbial species whose microbial abundance is not within the normal range, set them as potential pathogenic microorganisms, and store the collected data in a storage module; The color and morphological data of the feces image of the diarrhea cow are obtained, and the dietary record data of the cow during the cycle is obtained, and the collected data is stored in the storage module.

6. The intestinal microorganism evaluation method based on the pathogen analysis of dairy cow diarrhea according to claim 5, characterized in that: The color similarity calculation formula is a Euclidean distance or a cosine similarity calculation method.

7. An intestinal microorganism evaluation system based on the analysis of pathogens of dairy cow diarrhea, which is implemented based on the intestinal microorganism evaluation method based on the analysis of pathogens of dairy cow diarrhea as claimed in any one of claims 1 to 6, characterized in that: It specifically includes the following modules: Acquisition module: obtains the composition of various microbial communities in the feces of diarrhea cows, compares it with the feces of normal cows, obtains potential pathogenic microorganisms, and obtains feces image features; Microbial feature analysis module: Analyzes the microbial features related to diarrhea cows based on fecal image features and potential pathogenic microbial features; Dietary impact prediction module: Based on the analysis of microbial characteristics related to diarrhea cows and the dietary habits of diarrhea cows, the dietary impact of microorganisms is predicted; Diarrhea Cause Assessment Module: Evaluate the cause of diarrhea in dairy cows based on the predicted microbial diet impact and the matching degree of diarrhea time with diarrhea cows.

8. An electronic device comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; It is characterized in that the processor executes the intestinal microorganism assessment method based on dairy cow diarrhea pathogen analysis as described in any one of claims 1 to 6 by calling the computer program stored in the memory.

9. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are executed on a computer, the computer is caused to execute the intestinal microorganism assessment method based on the analysis of the pathogen of dairy cow diarrhea as described in any one of claims 1 to 6.

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