Standardized index calculation method and system for evaluating production capacity of commercial fattening pigs

Abstract

The invention discloses a standardized index calculation method and system for evaluating the production capacity of commercial fattening pigs, and belongs to the technical field of livestock breeding informatization and intelligent evaluation. An actual feed conversion ratio is corrected to an equivalent value of a standard weight interval through an established correction formula to obtain a corrected feed conversion ratio; therefore, the influence of the difference of the initial and final weights of the pigs on feed efficiency evaluation is eliminated. In order to more comprehensively reflect production benefits, weighted feeding days and certified product rate are introduced to correct the fattening index (FSA), and a final and standardized commercial pig standardized productivity index (CSPI) is obtained. According to the invention, through integration and standardized correction of multi-dimensional indexes, a scientific and unified fattening pig production capacity evaluation tool capable of transverse comparison is provided, and objective evaluation of production performance of a farm and accurate discovery of management problems are facilitated.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of livestock breeding informatization and intelligent evaluation technology, more particularly to a standardized index calculation method and system for evaluating the production capacity of commercial fattening pigs. BACKGROUND

[0002] In the evaluation of fattening pig production, the existing technology mainly uses single or partial indicators such as survival rate, feed conversion ratio, and daily weight gain to make judgments, and lacks a standardized index that comprehensively considers genetic performance, fattening production capacity, health level, vaccine use effect, and pig house performance.

[0003] Although the existing technology such as CN116227790A involves pig health evaluation, it only focuses on the construction of a health index model or the evaluation of feed energy requirements, and does not involve multi-dimensional comprehensive evaluation. CN117010739A mentions health evaluation of breeding objects and breeding decisions, but does not form a standardized production capacity index calculation system. These technologies cannot fully reflect the comprehensive level of fattening pig production, resulting in a lack of comparability of fattening effects in different breeding scenarios and different batches, and making it difficult to provide precise guidance for breeding decisions.

[0004] Therefore, how to provide a comprehensive and scientific standardized index calculation method and system is a problem that needs to be solved by those skilled in the art. SUMMARY

[0005] Therefore, the present application provides a standardized index calculation method and system for evaluating the production capacity of commercial fattening pigs, which accurately quantifies the production capacity of commercial fattening pigs by combining corrected feed conversion ratio, fattening index, and weighted correction mechanism, and realizes objective comparison and efficient evaluation of production capacity under different fattening batches and different feeding conditions.

[0006] To achieve the above purpose, the present application adopts the following technical solutions: On the one hand, the present application provides a standardized index (CSPI) calculation method for evaluating the production capacity of commercial fattening pigs, comprising: determining an evaluation index system, and obtaining basic data of a fattening batch based on the indexes of the evaluation index system; preprocessing the basic data; calculating the survival rate, average daily weight gain, and feed conversion ratio based on the preprocessed data; correcting the feed conversion ratio to an equivalent value in the standard weight interval to obtain a corrected feed conversion ratio; calculating a fattening index FSA based on the survival rate, average daily weight gain, and corrected feed conversion ratio; introducing weighted feeding days and positive rate to correct the fattening index FSA to obtain a commercial pig standardized production force index CSPI.

[0007] Preferably, the formula for calculating the corrected feed conversion ratio is:

[0008] Among them, F t W represents the total amount of materials actually used. t W represents the average weight of piglets upon entry into the market. ss FCR is the standard initial weight for commercial pigs. s W is the feed conversion ratio for standard piglet weight range. e W represents the average recovery weight of standard pigs. sg1 For Grade A standard weight, FCR e For the feed conversion ratio of commercial pigs at the recovery weight range, N s N represents the number of pigs sold as marketable products. g1 W represents the number of pigs sold as Grade A commercial products. sg2 The standard weight is for Grade II products.

[0009] Preferably, the formula for calculating the FSA (Fattening Index) is:

[0010] Where S represents the survival rate, ADG represents the average daily weight gain, and FCR represents the feed conversion ratio.

[0011] Preferably, the formula for calculating the Standardized Productivity Index (CSPI) of commercial pigs is as follows:

[0012] Among them, P q For the genuine product rate, D w For weighted feeding days, FCR c To adjust the feed conversion ratio.

[0013] Preferably, the preprocessing includes data cleaning, outlier detection and processing, and missing value imputation.

[0014] Preferably, the evaluation index system includes body weight index, feed consumption index, feeding time index, and health index.

[0015] On the other hand, the present invention provides a standardized index calculation system for evaluating the production capacity of commercial fattening pigs, comprising: The data acquisition unit is used to acquire basic data of fattening batches based on indicators of a defined evaluation indicator system. A preprocessing unit is used to preprocess the basic data; The basic data calculation unit is used to calculate the survival rate, average daily weight gain, and feed conversion ratio based on the preprocessed data. The correction unit is used to obtain the corrected feed conversion ratio by correcting the feed conversion ratio to an equivalent value within the standard weight range; a basic index calculation unit configured to calculate a finishing index FSA based on the survival rate, the average daily weight gain, and the corrected feed-meat ratio; a correction unit configured to correct the finishing index FSA by introducing the weighted feeding days and the rate of genuine products to obtain a standardized productivity index CSPI of the commodity pigs.

[0016] According to the technical solution described above, compared with the prior art, the present disclosure provides a standardized index calculation method and system for evaluating the production capacity of commodity finishing pigs, which solves the problem that the performance data cannot be compared due to differences in variables such as feeding period, body weight starting point, grade structure, etc. in traditional evaluation. The present disclosure effectively eliminates the bias caused by non-productive factors by correcting the actual feed-meat ratio to the equivalent value of the standard body weight interval, so that the production results of finishing pigs from different batches and different sources can be measured fairly and objectively under the same scale. In addition, the present disclosure constructs a multi-dimensional and comprehensive evaluation model, which preliminarily reflects the comprehensive ability of multi-living, fast-growing and saving feed based on the finishing index. Then, by introducing the rate of genuine products and the weighted feeding days to correct FSA, the final commodity pig standardized productivity index (CSPI) not only reflects the production process efficiency, but also includes the market value and time cost of the products in the evaluation model, providing a scientific and reliable decision basis for breeding enterprises to accurately locate management short boards, optimize breeding and feed strategies, and conduct cross-line performance evaluation for large groups. It effectively promotes the transformation and upgrading of the pig breeding industry towards fine and data-based management. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings described below are only part of the embodiments of the present application, and for those skilled in the art, other drawings can be obtained without creative labor based on the provided drawings.

[0018] Figure 1 The flowchart provided by the present application.

[0019] Figure 2 The structural diagram provided by the present application. DETAILED DESCRIPTION

[0020] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0021] The embodiment of the present application discloses a standardized index calculation method for evaluating the production capacity of commodity finishing pigs, which comprises the following steps: Figure 1 As shown in the figure, comprising: An evaluation index system is determined, and basic data of a finishing batch is obtained based on indexes of the evaluation index system, wherein the evaluation index system includes a body weight index, a feed consumption index, a feeding time index, and a health index. The body weight index is an intuitive basis for measuring the growth status of finishing pigs, including: incoming piglet weight, marketable weight, and standard weight at each level; the feed consumption index is used for resource input during breeding, including: total feed consumption of the entire finishing batch; the feeding time index is used to evaluate finishing cost and efficiency, including: incoming piglet date, marketable date, and total feeding days; and the health index is used to evaluate the growth stability of commodity pigs, including: incoming piglet number, death / elimination number, marketable number, and normal product rate according to appearance and body type.

[0022] The basic data is preprocessed, and the preprocessing includes data cleaning, abnormal value detection and processing, and missing value filling.

[0023] Data cleaning mainly aims to eliminate invalid data, including error data caused by sensor failure and repeated data.

[0024] Abnormal value detection and processing can use statistical methods, for example, the 3σ principle can be used to judge abnormal values. For pig weight data, if the deviation of a data point from the mean value exceeds 3 times the standard deviation, it can be preliminarily determined as an abnormal value. However, in actual processing, abnormal values cannot be simply deleted directly, and need to be analyzed in combination with actual conditions. If the abnormal value is caused by measurement error, it can be corrected; if the abnormal value is caused by individual difference or special situation, such as abnormal growth of a pig due to illness, although the data shows an abnormal value, it may contain important information and needs to be retained and marked for subsequent analysis. Machine learning algorithms such as Isolation Forest algorithm and One-Class SVM can also be used for abnormal value detection. By automatically learning the distribution characteristics of the data, data points deviating from the normal distribution can be identified. In the processing of a large amount of finishing pig growth data, machine learning algorithms can quickly and accurately detect abnormal values, improving data processing efficiency.

[0025] For missing value processing, moving average method, linear difference method or K-nearest neighbor algorithm can be used.

[0026] Based on the preprocessed data, the survival rate, average daily weight gain, and feed-meat ratio are calculated; The feed-meat ratio is corrected to the equivalent value in the standard weight interval to obtain a corrected feed-meat ratio; Based on the survival rate, average daily weight gain, and corrected feed-meat ratio, a finishing index FSA is calculated. By introducing weighted feeding days and quality rate to correct the fattening index FSA, the standardized productivity index CSPI for commercial pigs is obtained.

[0027] Furthermore, the formula for calculating the corrected feed conversion ratio is:

[0028] Among them, F t W represents the total amount of materials actually used. t W represents the average weight of piglets upon entry into the market. ss FCR is the standard initial weight for commercial pigs. s W is the feed conversion ratio for standard piglet weight range. e W represents the average recovery weight of standard pigs. sg1 For Grade A standard weight, FCR e For the feed conversion ratio of commercial pigs at the recovery weight range, N s N represents the number of pigs sold as marketable products. g1 W represents the number of pigs sold as Grade A commercial products. sg2 The standard weight is for Grade II products.

[0029] Furthermore, the formula for calculating the Fertility Factor (FSA) index is:

[0030] Where S represents the survival rate, ADG represents the average daily weight gain, and FCR represents the feed conversion ratio.

[0031] Furthermore, the formula for calculating the Standardized Productivity Index (CSPI) for commercial pigs is as follows:

[0032] Among them, P q For the genuine product rate, D w For weighted feeding days, FCR c To adjust the feed conversion ratio.

[0033] Specifically, weighted feeding days D w The calculation formula is:

[0034] Among them, D di N represents the actual number of days the i-th pig died / was culled. in This refers to the number of pigs that entered the farm.

[0035] Authenticity Rate P q The calculation formula is:

[0036] Where α is the weight of Grade 1 products and β is the weight of Grade 2 products; if there are Grade 3 products or unqualified products, additional weights can be added to ensure that the total weight matches the grade distribution.

[0037] On the other hand, the present invention provides a standardized index calculation system for evaluating the production capacity of commercial fattening pigs, such as... Figure 2 As shown, it includes: The data acquisition unit is used to acquire basic data of fattening batches based on indicators of a defined evaluation indicator system. A preprocessing unit is used to preprocess the basic data; The basic data calculation unit is used to calculate the survival rate, average daily weight gain, and feed conversion ratio based on the preprocessed data. The correction unit is used to obtain the corrected feed conversion ratio by correcting the feed conversion ratio to an equivalent value within the standard weight range; The basic index calculation unit is used to calculate the fattening index FSA based on survival rate, average daily weight gain, and corrected feed conversion ratio. The correction unit is used to correct the fattening index FSA by introducing weighted feeding days and the rate of good quality, so as to obtain the standardized productivity index CSPI of commercial pigs.

[0038] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to the method section.

[0039] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A standardized index calculation method for assessing the production capacity of commercial fattening pigs, characterized in that, include: Establish an evaluation index system and obtain basic data for fattening batches based on the indicators in the evaluation index system; The basic data is preprocessed; The survival rate, average daily weight gain, and feed conversion ratio were calculated based on the pre-processed data. The corrected feed conversion ratio is obtained by adjusting the feed conversion ratio to an equivalent value within the standard weight range. The fattening index (FSA) was calculated based on survival rate, average daily weight gain, and corrected feed conversion ratio. By introducing weighted feeding days and quality rate to correct the fattening index FSA, the standardized productivity index CSPI for commercial pigs is obtained.

2. The standardized index calculation method for evaluating the production capacity of commercial fattening pigs according to claim 1, characterized in that, The formula for calculating the corrected feed conversion ratio is: Among them, F t W represents the total amount of materials actually used. t W represents the average weight of piglets upon entry into the market. ss FCR is the standard initial weight for commercial pigs. s W is the feed conversion ratio for standard piglet weight range. e W represents the average recovery weight of standard pigs. sg1 For Grade A standard weight, FCR e For the feed conversion ratio of commercial pigs at the recovery weight range, N s N represents the number of pigs sold as marketable products. g1 W represents the number of pigs sold as Grade A commercial products. sg2 The standard weight is for Grade II products.

3. The standardized index calculation method for evaluating the production capacity of commercial fattening pigs according to claim 2, characterized in that, The formula for calculating the Fatsity Susceptibility Index (FSA) is as follows: Where S represents the survival rate, ADG represents the average daily weight gain, and FCR represents the feed conversion ratio.

4. The standardized index calculation method for evaluating the production capacity of commercial fattening pigs according to claim 3, characterized in that, The formula for calculating the Standardized Productivity Index (CSPI) of commercial pigs is as follows: Among them, P q For the genuine product rate, D w For weighted feeding days, FCR c To adjust the feed conversion ratio.

5. The standardized index calculation method for evaluating the production capacity of commercial fattening pigs according to claim 1, characterized in that, The preprocessing includes data cleaning, outlier detection and handling, and missing value imputation.

6. The standardized index calculation method for evaluating the production capacity of commercial fattening pigs according to claim 1, characterized in that, The evaluation index system includes weight index, feed consumption index, feeding time index, and health index.

7. A standardized index calculation system for evaluating the production capacity of commercial fattening pigs, characterized in that, include: The data acquisition unit is used to acquire basic data of fattening batches based on indicators of a defined evaluation indicator system. A preprocessing unit is used to preprocess the basic data; The basic data calculation unit is used to calculate the survival rate, average daily weight gain, and feed conversion ratio based on the preprocessed data. The correction unit is used to obtain the corrected feed conversion ratio by correcting the feed conversion ratio to an equivalent value within the standard weight range; The basic index calculation unit is used to calculate the fattening index FSA based on survival rate, average daily weight gain, and corrected feed conversion ratio. The correction unit is used to correct the fattening index FSA by introducing weighted feeding days and the rate of good quality, so as to obtain the standardized productivity index CSPI of commercial pigs.

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