A quality comprehensive evaluation method for fruit precision sorting

Abstract

The application discloses a quality comprehensive evaluation method for fruit accurate sorting, considers that the same grade of fruits may have great differences in various qualities when the fruits are accurately sorted, and therefore, the prices of the fruits are bound to have obvious differences according to the quality differences, and proposes that a fruit price fluctuation index can be correlated with a certain quality of a certain fruit, and after the fruit price fluctuation indexes of different qualities in the grade of the fruit are multiplied, linear change is carried out to obtain the quality comprehensive evaluation of the measured fruit, so that the fruits can be accurately positioned and appropriately priced according to the quality conditions of the fruits in the sales, the fruits are accurately sorted, the subdivision effect and potential value brought by the fruit and vegetable sorting equipment to the entire industrial chain are excavated, and therefore, the user experience and the income satisfaction degree of the fruit sorting line are further improved.

Description

Technical Field

[0003] This invention belongs to the field of postharvest processing technology for fruits, specifically relating to a comprehensive quality evaluation method for precise sorting of fruits. Background Technology

[0005] When accurately sorting fruits, it's crucial to consider the significant differences in quality within the same grade. Therefore, prices must vary accordingly, rather than setting a uniform price for all fruits of the same grade. Consumers, as the main players in the modern market, significantly influence market trends and, consequently, the future development of an industry. Especially given the current oversupply of goods, understanding consumer characteristics, adopting consumer-friendly business models, and providing the products and services they need are essential to attract consumers and capture market share. Therefore, researching fruit price fluctuations is vital. By identifying the correlation between various quality indicators and price fluctuations of a particular fruit, understanding consumer preferences and focus on different quality levels allows for a comprehensive quality evaluation after grading at the sorting line. This ensures accurate positioning and appropriate pricing based on the fruit's quality during sales. Accurate sorting unlocks the segmentation effects and potential value that fruit and vegetable sorting equipment brings to the entire industry chain, further enhancing user experience and profitability at the fruit sorting line. Summary of the Invention

[0007] The purpose of this invention is to provide a comprehensive quality evaluation method for the precise sorting of fruits. This method can establish a correlation between fruit price fluctuation indicators and a certain quality of a certain fruit, and obtain a comprehensive quality evaluation of the tested fruit by linearly changing the fruit price fluctuation indicators of different quality grades after multiplication.

[0008] The technical solution to achieve the purpose of this invention is: a comprehensive quality evaluation method for precise fruit sorting, comprising the following steps:

[0009] Step 1: When accurately sorting a certain type of fruit, a fitting value of the fruit price fluctuation index can be constructed in the initial stage, which is the range between the standard of a certain quality grade and the critical point of that quality grade. The change coefficient and constant term of the fruit price fluctuation index of that quality grade in the initial stage can be obtained.

[0010] Step 2: Construct a fitted value for the fruit price fluctuation index in the later stage when the value of a certain quality exceeds the critical point of a certain quality grade and is close to the next grade but has not reached the next grade, and obtain the change coefficient and constant term of the fruit price fluctuation index of that quality and grade in the later stage.

[0011] Step 3: The fitted value of the comprehensive quality evaluation of the tested fruits classified into a certain grade according to each quality value can be used as the actual value of the comprehensive quality evaluation when the fruits are accurately sorted. The fitted value can be obtained by multiplying the fitted values ​​of the fruit price fluctuation index of different quality grades in the quality combination set by the comprehensive quality evaluation coefficient of that grade and adding the comprehensive quality evaluation increment of that grade.

[0012] Furthermore, step 1 specifically includes the following steps:

[0013] Step 101: When accurately sorting a certain type of fruit, set... and These are the quality number and grade number for this type of fruit. and respectively quality grade Standard values ​​and quality grade The critical point value, For quality grade When the quality value is lower than And the rest of the quality A collection of quality combinations consisting of different grades. Number the fruit samples of this type of fruit used for precise sorting. For quality grade When a certain quality value is lower than And other qualities belong A collection of fruit samples of this type of fruit. For the sample Regarding quality The value, J [ q i ( m ), m ] For the sample quality The value is The corresponding price at that time For the sample quality The value is The corresponding price at that time, of which , for Corresponding to The number of fruit samples can be given at this point. Corresponding fruit price fluctuation index for J [ q i ( m ), m ] / J ( Q i , j , m ) Evaluations can also be provided through market research or expert questionnaires; for the aforementioned Samples in ,set up and Exceeding quality grade Standard The coefficient of variation and constant term of the fruit price fluctuation index in the initial stage can be set at the sample level in the initial stage. Quality numerical value In quality grade Standard To quality grade critical point Fruit price fluctuation index in the region The rate of change with respect to the With the The difference The ratio can be expressed as dp i , j ( m ) dq i ( m ) = a i , j [ q i ( m ) − Q i , j ] Therefore, it can be assumed that the initial stage was as described Fitted values for ;

[0014] Step 102: Assume the initial stage residuals The square of the difference between the initial stage fruit price fluctuation index and its fitted value is given for different quality combinations and the aforementioned... The sum of different samples can be specifically expressed as:

[0015] δ i , j = ∑ i − ∈ Ψ i , j ∑ m ∈ ϒ i , j ( i − ) [ p i , j ( m ) − 1 2 a i , j q i 2 ( m ) + a i , j Q i , j q i ( m ) − b i , j ] 2

[0016] The See as described and The function of the independent variable can be obtained using the least squares rule. For the above and The first derivative of can be specifically expressed as:

[0017] ∂ δ i , j ∂ a i , j = ∑ i − ∈ Ψ i , j ∑ m ∈ ϒ i , j ( i − ) [ p i , j ( m ) − a i , j q i 2 ( m ) 2 + a i , j Q i , j q i ( m ) − b i , j ] [ 2 Q i , j q i ( m ) − q i 2 ( m )]

[0018] ∂ δ i , j ∂ b i , j =− 2 ∑ i − ∈ Ψ i , j ∑ m ∈ ϒ i , j ( i − ) [ p i , j ( m ) − 1 2 a i , j q i 2 ( m ) + a i , j Q i , j q i ( m ) − b i , j ]

[0019] When the When it is a polarization value, then and At this point, we can obtain:

[0020] ∑ i − ∈ Ψ i , j ∑ m ∈ ϒ i , j ( i − ) p i , j ( m )[ 2 Q i , j q i ( m ) − q i 2 ( m )] = − 1 2 a i , j ∑ i − ∈ Ψ i , j ∑ m ∈ ϒ i , j ( i − ) [ 2 Q i , j q i ( m ) − q i 2 ( m )] 2 + b i , j ∑ i − ∈ Ψ i , j ∑ m ∈ ϒ i , j ( i − ) [ 2 Q i , j q i ( m ) − q i 2 ( m )]

[0021] ∑ i − ∈ Ψ i , j ∑ m ∈ ϒ i , j ( i − ) p i , j ( m ) = a i , j ∑ i − ∈ Ψ i , j ∑ m ∈ ϒ i , j ( i − ) [ 1 2 q i 2 ( m ) − Q i , j q i ( m )] + b i , j ∑ i − ∈ Ψ i , j ∑ m ∈ ϒ i , j ( i − ) 1

[0022] Step 103, give the following when the... When it is the polarization value, the following is stated and The possible values ​​of can be specifically represented as:

[0023]

[0024]

[0025] Among them, intermediate variables , , , , and They are respectively:

[0026] A 1 = ∑ i − ∈ Ψ i , j ∑ m ∈ ϒ i , j ( i − ) p i , j ( m )[ 2 Q i , j q i ( m ) − q i 2 ( m )]

[0027]

[0028] B 1 = 1 2 ∑ i − ∈ Ψ i , j ∑ m ∈ ϒ i , j ( i − ) [ 2 Q i , j q i ( m ) − q i 2 ( m )] 2

[0029] B 2 = ∑ i − ∈ Ψ i , j ∑ m ∈ ϒ i , j ( i − ) [ 1 2 q i 2 ( m ) − Q i , j q i ( m )]

[0030] C 1 = ∑ i − ∈ Ψ i , j ∑ m ∈ ϒ i , j ( i − ) [ 2 Q i , j q i ( m ) − q i 2 ( m )]

[0031]

[0032] And the , , , , and Non-zero terms;

[0033] Furthermore, step 2 specifically includes the following steps:

[0034] Step 201: If the quality of this type of fruit... The next level Standard Higher than level Standard ,set up Number the fruit samples of this type of fruit. For quality For level Other qualities for A certain quality combination and its quality is higher than The sample collection of this type of fruit, For the sample Regarding quality The value, For exceeding the critical point And close to the next level The coefficient of change of fruit price fluctuation indicators in the later stages. To exceed quality grade Standard And close to the next level The constant term of the fruit price fluctuation index in the later stage. J [ q i ( n ), n ] For the sample quality The value is The corresponding price at that time, then the sample In quality numerical value Exceeding quality grade critical point In the later stages, when the fruit price fluctuates but is close to the next level but has not yet reached it, a fruit price fluctuation indicator can be set. The rate of change with respect to the standard of the next level Compared to the current quality value The difference The ratio, specifically dp i , j ( n ) dq i , j ( n ) = c i , j [ Q i , j + 1 − q i ( n )] At this point, a sample can be provided. Corresponding fruit price fluctuation index for J [ q i ( n ), n ] / J ( Q i , j , n ) Evaluations can also be provided through market research or expert questionnaires; this allows for the establishment of assessments in later stages. Fitted values , among which samples Corresponding to the above can be Give;

[0035] Step 202: Assume the residuals in the later stage. The square of the difference between the fruit price fluctuation index in the later stage and its fitted value is given for different quality combinations and the aforementioned The sum of different samples can be specifically expressed as:

[0036] ε i , j = ∑ i − ∈ Ψ i , j ∑ n ∈ Γ i , j ( i − ) [ p i , j ( n ) − c i , j Q i , j + 1 q i + 1 2 c i , j q i 2 − d i , j ] 2

[0037] The above can be As described and As a function of the independent variable, the least squares rule can be used to give the expression for the independent variable. and The first derivative of can be specifically expressed as:

[0038] ∂ ε i , j ∂ c i , j = ∑ i − ∈ Ψ i , j ∑ n ∈ Γ i , j ( i − ) [ p i , j ( n ) − c i , j Q i , j + 1 q i ( n ) + 1 2 c i , j q i 2 ( n ) − d i , j ] [ − 2 Q i , j + 1 q i ( n ) + q i 2 ( n ) ]

[0039] ∂ ε i , j ∂ d i , j =− 2 ∑ i − ∈ Ψ i , j ∑ n ∈ Γ i , j ( i − ) [ p i , j ( n ) − c i , j Q i , j + 1 q i ( n ) + 1 2 c i , j q i 2 ( n ) − d i , j ]

[0040] When the When taking the polarization value, then there exists and At this point, we can obtain:

[0041] ∑ i − ∈ Ψ i , j ∑ n ∈ Γ i , j ( i − ) p i , j ( n ) [ − 2 Q i , j + 1 q i ( n ) + q i 2 ( n ) ] = − 1 2 c i , j ∑ i − ∈ Ψ i , j ∑ n ∈ Γ i , j ( i − ) [ q i 2 ( n ) − 2 Q i , j + 1 q i ( n ) ] 2 + d i , j ∑ i − ∈ Ψ i , j ∑ n ∈ Γ i , j ( i − ) [ − 2 Q i , j + 1 q i ( n ) + q i 2 ( n )] ∑ i − ∈ Ψ i , j ∑ n ∈ Γ i , j ( i − ) p i , j ( n ) = c i , j ∑ i − ∈ Ψ i , j ∑ n ∈ Γ i , j ( i − ) [ Q i , j + 1 q i ( n ) − 1 2 c i , j q i 2 ( n )] + d i , j ∑ i − ∈ Ψ i , j ∑ n ∈ Γ i , j ( i − ) 1

[0042] Step 203, give the following when the... When it is the polarization value, the following is stated and The possible values ​​of can be specifically represented as:

[0043]

[0044]

[0045] Among them, intermediate variables , , , , and They are respectively:

[0046] D 1 = ∑ i − ∈ Ψ i , j ∑ n ∈ Γ i , j ( i − ) p i , j ( n ) [ − 2 Q i , j + 1 q i ( n ) + q i 2 ( n ) ]

[0047]

[0048] E 1 = 1 2 ∑ i − ∈ Ψ i , j ∑ n ∈ Γ i , j ( i − ) [ q i 2 ( n ) − 2 Q i , j + 1 q i ( n ) ] 2

[0049] E 2 = ∑ i − ∈ Ψ i , j ∑ n ∈ Γ i , j ( i − ) [ Q i , j + 1 q i ( n ) − 1 2 c i , j q i 2 ( n )]

[0050] F 1 = ∑ i − ∈ Ψ i , j ∑ n ∈ Γ i , j ( i − ) [ − 2 Q i , j + 1 q i ( n ) + q i 2 ( n )]

[0051]

[0052] It can be seen that the above , , , , and Non-zero terms;

[0053] Furthermore, step 3 specifically includes the following steps:

[0054] Step 301: From the quality combination set Grades are determined based on various quality values. The tested fruit Comprehensive quality evaluation conducted Fitted values It can be obtained from the fruit being tested About quality combination set Different quality grades are used in China Fruit Price Fluctuation Index Fitted values Multiply by the class after combining Comprehensive quality evaluation coefficient at that time And add a level Incremental Quality Evaluation Obtaining, specifically, can be represented as:

[0055]

[0056] Among them, if quality For level The standard is that if certain characteristics are absent, then the quality... The price fluctuation index for this grade of fruit can be set as a constant of 1. It can be represented as:

[0057]

[0058] Among them, the and This can be given in step 103, the and This can be given in step 203. For the sample Regarding quality The value;

[0059] Step 302, considering that the above can be... and The sample in the middle can also be regarded as the fruit being tested, and the residual is set. For quality combination set For the tested fruit For level Overall quality evaluation Its fitted value The square of the difference for different quality combinations and the aforementioned and The sum of different samples can be specifically expressed as:

[0060] ϑ j = ∑ i ∈ R ∑ i − ∈ Ψ i , j ∑ k ∈ ϒ i , j ( i − ) ∪ Γ i , j ( i − ) [ f j ( k ) − g j ∏ i ∈ R p ˜ i , j ( k ) − e j ] 2

[0061] Among them, the Evaluation values ​​can be obtained from market research or expert questionnaires;

[0062] Will Considered as and As a function of the independent variable, the least squares rule can be used to apply the following methods to the... and The corresponding first derivative is obtained:

[0063] ∂ ϑ j ∂ g j =− 2 ∑ i ∈ R ∑ i − ∈ Ψ i , j ∑ k ∈ ϒ i , j ( i − ) ∪ Γ i , j ( i − ) [ f j ( k ) − g j ∏ i ∈ R p ˜ i , j ( k ) − e j ] ⋅ ∏ i ∈ R p ˜ i , j ( k )

[0064] ∂ ϑ j ∂ e j =− 2 ∑ i ∈ R ∑ i − ∈ Ψ i , j ∑ k ∈ ϒ i , j ( i − ) ∪ Γ i , j ( i − ) [ f j ( k ) − g j ∏ i ∈ R p ˜ i , j ( k ) − e j ]

[0065] Then when When taking the polarization value, then and At this point, we can obtain:

[0066]

[0067]

[0068] Step 302, give the following when the... When it is the polarization value, the following is stated and The possible values ​​of can be specifically represented as:

[0069]

[0070]

[0071] Among them, intermediate variables , , , , and They are respectively:

[0072]

[0073]

[0074]

[0075]

[0076]

[0077]

[0078] It can be known , , , , and It is a non-zero term.

[0079] Step 303: The quality values ​​can be divided into grades. The tested fruit Correspondence Numerical values ​​are used for the precise sorting of fruits. The actual values ​​used for comprehensive quality evaluation, i.e. , wherein and This can be given in step 302, the The results can be provided by the measuring equipment on the fruit sorting line, thus completing a comprehensive quality evaluation for precise fruit sorting. Attached Figure Description

[0081] Appendix Figure 1 A flowchart of a comprehensive quality evaluation method for precise fruit sorting provided in an embodiment of the present invention;

[0082] Appendix Figure 2 The five evaluation values ​​for the overall quality assessment of kiwifruit provided by the expert questionnaire are provided for the embodiments of the present invention. Detailed Implementation

[0084] As shown in Table 1, the sensory indicators for the quality grade of kiwifruit in the People's Republic of China National Standard GB / T40743-2021 include five quality items: total area of ​​deformation, total area of ​​color change, total area of ​​water stains and soil contamination on the fruit surface (hereinafter referred to as total contamination area), total area of ​​minor abrasions, healed punctures, scars and other fruit surface defects (hereinafter referred to as total fruit surface defect area), and total area of ​​flesh defects such as hollowness, corking or browning of the core (hereinafter referred to as total flesh defect area). These, along with the single fruit weight, constitute a total of six quality items that make up the elements required for the grade indicators.

[0085] Table 1 Grade Indicator Requirements

[0086]

[0087] The following will describe in detail the technical solution provided by the present invention through specific embodiments of the comprehensive quality evaluation of Grade 1 Xu Xiang kiwifruit fresh fruit that meets the requirements of the People's Republic of China National Standard GB / T40743-2021, as shown in Table 1. Xu Xiang kiwifruit belongs to the small-fruit type, specifically including... Figure 1 The following steps are shown:

[0088] Step 1: When accurately sorting a certain type of fruit, a fitting value of the fruit price fluctuation index can be constructed in the initial stage, which is the range between the standard of a certain quality grade and the critical point of that quality grade. The change coefficient and constant term of the fruit price fluctuation index of that quality grade in the initial stage can be obtained.

[0089] Step 2: Construct a fitted value for the fruit price fluctuation index in the later stage when the value of a certain quality exceeds the critical point of a certain quality grade and is close to the next grade but has not reached the next grade, and obtain the change coefficient and constant term of the fruit price fluctuation index of that quality and grade in the later stage.

[0090] Step 3: The fitted value of the comprehensive quality evaluation of the tested fruits classified into a certain grade according to each quality value can be used as the actual value of the comprehensive quality evaluation when the fruits are accurately sorted. The fitted value can be obtained by multiplying the fitted values ​​of the fruit price fluctuation index of different quality grades in the quality combination set by the comprehensive quality evaluation coefficient of that grade and adding the comprehensive quality evaluation increment of that grade.

[0091] In the above embodiments, step 1 further includes the following steps:

[0092] Step 101: When accurately sorting Xu Xiang kiwifruit, the standard for Xu Xiang kiwifruit (hereinafter referred to as kiwifruit) exceeding the six quality criteria (total area of ​​deformation, total area of ​​discoloration, total area of ​​contamination, total area of ​​fruit surface defects, total area of ​​fruit flesh defects, and single fruit weight) and grade 1 in the initial stage is set. The growth rate of the fruit price fluctuation index in the range between the critical points of different quality grades 1 shown in Table 2 is proportional to the difference between the current quality value of the kiwifruit and the standard of that grade.

[0093] Table 2. Critical point values ​​for different qualities of kiwifruit at grade 1

[0094] Quality item <![CDATA[Total deformation area / cm 2 > <![CDATA[Total color change area / cm 2 > <![CDATA[Total polluted area / cm 2 > <![CDATA[Total area of fruit surface defects / cm 2 > <![CDATA[Total area of flesh defects / cm 2 > Single fruit weight / g Critical point value 0.3 0.3 0.3 0.3 0.3 70

[0095] set up and These are the quality number and grade number for the kiwifruit. and respectively quality grade Standard values ​​and quality grade The critical point value, For quality grade When the quality value is lower than And the rest of the quality A collection of quality combinations consisting of different grades. Number the kiwifruit samples used for precise sorting. For quality grade When a certain quality value is lower than And other qualities belong A collection of kiwi fruit samples from China. For the sample Regarding quality The value, J [ q i ( m ), m ] For the sample quality The value is The corresponding price at that time For the sample quality The value is The corresponding price at that time, of which , for Corresponding to The number of fruit samples can be given at this point. Corresponding fruit price fluctuation index for J [ q i ( m ), m ] / J ( Q i , j , m ) Evaluations can also be provided through market research or expert questionnaires; for the aforementioned Samples in ,set up and Exceeding quality grade Standard The coefficient of variation and constant term of the fruit price fluctuation index in the initial stage can be set at the sample level in the initial stage. Quality numerical value In quality grade Standard To quality grade critical point Fruit price fluctuation index in the region The rate of change with respect to the With the The difference The ratio can be expressed as dp i , j ( m ) dq i ( m ) = a i , j [ q i ( m ) − Q i , j ] Therefore, it can be assumed that the initial stage was as described Fitted values for ;

[0096] Step 102: Assume the initial stage residuals The square of the difference between the initial stage fruit price fluctuation index and its fitted value is given for different quality combinations and the aforementioned... The sum of different samples can be specifically expressed as:

[0097] δ i , j = ∑ i − ∈ Ψ i , j ∑ m ∈ ϒ i , j ( i − ) [ p i , j ( m ) − 1 2 a i , j q i 2 ( m ) + a i , j Q i , j q i ( m ) − b i , j ] 2

[0098] The See as described and The function of the independent variable can be obtained using the least squares rule. For the above and The first derivative of can be specifically expressed as:

[0099] ∂ δ i , j ∂ a i , j = ∑ i − ∈ Ψ i , j ∑ m ∈ ϒ i , j ( i − ) [ p i , j ( m ) − a i , j q i 2 ( m ) 2 + a i , j Q i , j q i ( m ) − b i , j ] [ 2 Q i , j q i ( m ) − q i 2 ( m )]

[0100] ∂ δ i , j ∂ b i , j =− 2 ∑ i − ∈ Ψ i , j ∑ m ∈ ϒ i , j ( i − ) [ p i , j ( m ) − 1 2 a i , j q i 2 ( m ) + a i , j Q i , j q i ( m ) − b i , j ]

[0101] When the When it is a polarization value, then and At this point, we can obtain:

[0102] ∑ i − ∈ Ψ i , j ∑ m ∈ ϒ i , j ( i − ) p i , j ( m )[ 2 Q i , j q i ( m ) − q i 2 ( m )] = − 1 2 a i , j ∑ i − ∈ Ψ i , j ∑ m ∈ ϒ i , j ( i − ) [ 2 Q i , j q i ( m ) − q i 2 ( m )] 2 + b i , j ∑ i − ∈ Ψ i , j ∑ m ∈ ϒ i , j ( i − ) [ 2 Q i , j q i ( m ) − q i 2 ( m )]

[0103] ∑ i − ∈ Ψ i , j ∑ m ∈ ϒ i , j ( i − ) p i , j ( m ) = a i , j ∑ i − ∈ Ψ i , j ∑ m ∈ ϒ i , j ( i − ) [ 1 2 q i 2 ( m ) − Q i , j q i ( m )] + b i , j ∑ i − ∈ Ψ i , j ∑ m ∈ ϒ i , j ( i − ) 1

[0104] Step 103, give the following when the... When it is the polarization value, the following is stated and The possible values ​​of can be specifically represented as:

[0105]

[0106]

[0107] Among them, intermediate variables , , , , and They are respectively:

[0108] A 1 = ∑ i − ∈ Ψ i , j ∑ m ∈ ϒ i , j ( i − ) p i , j ( m )[ 2 Q i , j q i ( m ) − q i 2 ( m )]

[0109]

[0110] B 1 = 1 2 ∑ i − ∈ Ψ i , j ∑ m ∈ ϒ i , j ( i − ) [ 2 Q i , j q i ( m ) − q i 2 ( m )] 2

[0111] B 2 = ∑ i − ∈ Ψ i , j ∑ m ∈ ϒ i , j ( i − ) [ 1 2 q i 2 ( m ) − Q i , j q i ( m )]

[0112] C 1 = ∑ i − ∈ Ψ i , j ∑ m ∈ ϒ i , j ( i − ) [ 2 Q i , j q i ( m ) − q i 2 ( m )]

[0113]

[0114] And the , , , , and Non-zero terms;

[0115] Considering that the five quality indicators—total deformation area, total color change area, total contamination area, total surface defect area, and total flesh defect area—are consistent across kiwifruit quality grades (Special Grade, Grade 1, and Grade 2), for ease of explanation in specific embodiments, it can be assumed that the fitting functions for the fruit price fluctuation indicators of these five quality indicators are roughly the same in the initial stage. Therefore, the total deformation area will be specifically described in the specific embodiments. Assuming that market research through visits to fruit wholesale markets allows for the statistical analysis of wholesale prices for Grade 1 kiwifruit with different total deformation areas, and setting the total deformation area to approximately 1 cm²... 2 0.5 cm 2 0.3cm 2 0.2cm 2 and 0 cm 2 The average values ​​of the fruit price fluctuation index were approximately 1, 1.15, 1.3, 1.4, and 1.5, respectively. It is evident that the smaller the total deformation area, the better the quality, and the larger the fruit price fluctuation index. This can be observed through the residuals in the initial stage. When it is the polarization value and The value of is determined Take the total area of ​​deformation and When taking level one and The values ​​are 1.225 and 1.612 respectively; it can be seen that the fruit price fluctuation index is positively correlated with the quality of the total deformation area. The better the quality of the total deformation area, the greater the fruit price fluctuation index reflected by the wholesale price of kiwifruit.

[0116] Similarly, after conducting market research by visiting fruit wholesale markets, we can statistically analyze the wholesale prices of kiwifruit of Grade 1 quality with different single fruit weights. We set the average wholesale market price ratios for single fruit weights of approximately 60g, 65g, 70g, and 75g as approximately 1, 1.1, 1.4, and 1.5, respectively. This shows that the heavier the single fruit and the better the quality, the greater the price fluctuation index. Similarly, we can determine... Take single fruit weight and When taking level one and They are respectively And 15.4; it can be seen that the fruit price fluctuation index is positively correlated with the weight and quality of a single fruit, and the better the weight and quality of a single fruit, the greater the fruit price fluctuation index.

[0117] In the above embodiments, step 2 further includes the following steps:

[0118] Step 201: If the quality of this type of kiwifruit... The next level Standard Higher than level Standard ,set up Number the fruit samples of this type of fruit. For quality For level Other qualities for A certain quality combination and its quality is higher than The sample collection of this type of fruit, For the sample Regarding quality The value, For exceeding the critical point And close to the next level The coefficient of change of fruit price fluctuation indicators in the later stages. To exceed quality grade Standard And close to the next level The constant term of the fruit price fluctuation index in the later stage. J [ q i ( n ), n ] For the sample quality The value is The corresponding price at that time, then the sample In quality numerical value Exceeding quality grade critical point In the later stages, when the fruit price fluctuates but is close to the next level but has not yet reached it, a fruit price fluctuation indicator can be set. The rate of change with respect to the standard of the next level Compared to the current quality value The difference The ratio, specifically dp i , j ( n ) dq i , j ( n ) = c i , j [ Q i , j + 1 − q i ( n )] At this point, a sample can be provided. Corresponding fruit price fluctuation index for J [ q i ( n ), n ] / J ( Q i , j , n ) Evaluations can also be provided through market research or expert questionnaires; this allows for the establishment of assessments in later stages. Fitted values , among which samples Corresponding to the above can be Give;

[0119] Step 202: Assume the residuals in the later stage. The square of the difference between the fruit price fluctuation index in the later stage and its fitted value is given for different quality combinations and the aforementioned The sum of different samples can be specifically expressed as:

[0120] ε i , j = ∑ i − ∈ Ψ i , j ∑ n ∈ Γ i , j ( i − ) [ p i , j ( n ) − c i , j Q i , j + 1 q i + 1 2 c i , j q i 2 − d i , j ] 2

[0121] The above can be As described and As a function of the independent variable, the least squares rule can be used to give the expression for the independent variable. and The first derivative of can be specifically expressed as:

[0122] ∂ ε i , j ∂ c i , j = ∑ i − ∈ Ψ i , j ∑ n ∈ Γ i , j ( i − ) [ p i , j ( n ) − c i , j Q i , j + 1 q i ( n ) + 1 2 c i , j q i 2 ( n ) − d i , j ] [ − 2 Q i , j + 1 q i ( n ) + q i 2 ( n ) ]

[0123] ∂ ε i , j ∂ d i , j =− 2 ∑ i − ∈ Ψ i , j ∑ n ∈ Γ i , j ( i − ) [ p i , j ( n ) − c i , j Q i , j + 1 q i ( n ) + 1 2 c i , j q i 2 ( n ) − d i , j ]

[0124] When the When taking the polarization value, then there exists and At this point, we can obtain:

[0125] ∑ i − ∈ Ψ i , j ∑ n ∈ Γ i , j ( i − ) p i , j ( n ) [ − 2 Q i , j + 1 q i ( n ) + q i 2 ( n ) ] = − 1 2 c i , j ∑ i − ∈ Ψ i , j ∑ n ∈ Γ i , j ( i − ) [ q i 2 ( n ) − 2 Q i , j + 1 q i ( n ) ] 2 + d i , j ∑ i − ∈ Ψ i , j ∑ n ∈ Γ i , j ( i − ) [ − 2 Q i , j + 1 q i ( n ) + q i 2 ( n )] ∑ i − ∈ Ψ i , j ∑ n ∈ Γ i , j ( i − ) p i , j ( n ) = c i , j ∑ i − ∈ Ψ i , j ∑ n ∈ Γ i , j ( i − ) [ Q i , j + 1 q i ( n ) − 1 2 c i , j q i 2 ( n )] + d i , j ∑ i − ∈ Ψ i , j ∑ n ∈ Γ i , j ( i − ) 1

[0126] Step 203, give the following when the... When it is the polarization value, the following is stated and The possible values ​​of can be specifically represented as:

[0127]

[0128]

[0129] Among them, intermediate variables , , , , and They are respectively:

[0130] D 1 = ∑ i − ∈ Ψ i , j ∑ n ∈ Γ i , j ( i − ) p i , j ( n ) [ − 2 Q i , j + 1 q i ( n ) + q i 2 ( n ) ]

[0131]

[0132] E 1 = 1 2 ∑ i − ∈ Ψ i , j ∑ n ∈ Γ i , j ( i − ) [ q i 2 ( n ) − 2 Q i , j + 1 q i ( n ) ] 2

[0133] E 2 = ∑ i − ∈ Ψ i , j ∑ n ∈ Γ i , j ( i − ) [ Q i , j + 1 q i ( n ) − 1 2 c i , j q i 2 ( n )]

[0134] F 1 = ∑ i − ∈ Ψ i , j ∑ n ∈ Γ i , j ( i − ) [ − 2 Q i , j + 1 q i ( n ) + q i 2 ( n )]

[0135]

[0136] It can be seen that the above , , , , and Non-zero terms;

[0137] Similarly, after conducting market research on wholesale markets, we can statistically determine the wholesale market price ratios for kiwifruit of grade one quality with different total deformation areas. Let's assume this ratio can be determined. Take the total area of ​​deformation and When taking level one and The values ​​are 4.44 and 1.5 respectively, indicating that the fruit price fluctuation index is positively correlated with the total deformation area and quality; the smaller the total deformation area, the better the quality. Let's assume that the value can be determined... Take single fruit weight and When taking level one and They are respectively The values ​​of -21 indicate that the heavier the fruit and the better its quality, the greater the price fluctuation index of the fruit.

[0138] In the above embodiments, step 3 further includes the following steps:

[0139] Step 301: From the quality combination set for Total area of ​​deformation, total area of ​​discoloration, total area of ​​contamination, total area of ​​fruit surface defects, total area of ​​fruit flesh defects, single fruit weight Grades are determined based on various quality values. The tested fruit Comprehensive quality evaluation conducted Fitted values It can be obtained from the fruit being tested About quality combination set Different quality grades are used in China Fruit Price Fluctuation Index Fitted values Multiply by the class after combining Comprehensive quality evaluation coefficient at that time And add a level Incremental Quality Evaluation Obtaining, specifically, can be represented as:

[0140]

[0141] for Take the total area of ​​deformation and When taking level one , , and The values ​​are 1.225, 1.612, 4.44, and 1.5 respectively. At this point, for... , and If the values ​​are 1, 0.3, and 0 respectively, then when In quality Take the total area of ​​deformation and its level When taking the value within the first-level range The expression is:

[0142]

[0143] In specific embodiments, the four quality items—total area of ​​color change, total area of ​​contamination, total area of ​​fruit surface defects, and total area of ​​fruit flesh defects—are graded. When taking the value within the first-level range The expression can be used with respect to the total area of ​​deformation. The expression.

[0144] for Take single fruit weight and When taking level one , , and They are respectively 15.4 And -21, at this time for , and If the values ​​are 60, 70, and 75 respectively, then when In quality Take single fruit weight and grade When taking the value within the first-level range It can be represented as:

[0145]

[0146] Step 302, considering that the above can be... and The sample in the middle can also be regarded as the fruit being tested, and the residual is set. For quality combination set For the tested fruit For level Overall quality evaluation Its fitted value The square of the difference for different quality combinations and the aforementioned and The sum of different samples can be specifically expressed as:

[0147] ϑ j = ∑ i ∈ R ∑ i − ∈ Ψ i , j ∑ k ∈ ϒ i , j ( i − ) ∪ Γ i , j ( i − ) [ f j ( k ) − g j ∏ i ∈ R p ˜ i , j ( k ) − e j ] 2

[0148] Among them, the Evaluation values ​​can be obtained from market research or expert questionnaires;

[0149] Will Considered as and As a function of the independent variable, the least squares rule can be used to apply the following methods to the... and The corresponding first derivative is obtained:

[0150] ∂ ϑ j ∂ g j =− 2 ∑ i ∈ R ∑ i − ∈ Ψ i , j ∑ k ∈ ϒ i , j ( i − ) ∪ Γ i , j ( i − ) [ f j ( k ) − g j ∏ i ∈ R p ˜ i , j ( k ) − e j ] ⋅ ∏ i ∈ R p ˜ i , j ( k )

[0151] ∂ ϑ j ∂ e j =− 2 ∑ i ∈ R ∑ i − ∈ Ψ i , j ∑ k ∈ ϒ i , j ( i − ) ∪ Γ i , j ( i − ) [ f j ( k ) − g j ∏ i ∈ R p ˜ i , j ( k ) − e j ]

[0152] Then when When taking the maximum or minimum value, then and At this point, we can obtain:

[0153]

[0154]

[0155] Step 302, give the following when the... When it is the polarization value, the following is stated and The possible values ​​of can be specifically represented as:

[0156]

[0157]

[0158] Among them, intermediate variables , , , , and They are respectively:

[0159]

[0160]

[0161]

[0162]

[0163]

[0164]

[0165] It can be known , , , , and It is a non-zero term.

[0166] According to Table 1, kiwifruit quality grades can be Special Grade, Grade 1, and Grade 2. Therefore, we can set the comprehensive quality evaluation value to 100 when the kiwifruit is Grade 2 and all quality values ​​just meet its Grade 2 indicators. Similarly, we can set the comprehensive quality evaluation value to 200 and 400 when the kiwifruit is Grade 1 and all quality values ​​just meet its Grade 1 indicators. The total area of ​​deformation, total area of ​​color change, total area of ​​contamination, total area of ​​fruit surface defects, and total area of ​​flesh defects are all set to 0.3 cm. 2After setting the total area of ​​deformation, total area of ​​discoloration, total area of ​​contamination, total area of ​​fruit surface defects, total area of ​​fruit flesh defects, and single fruit weight as described above, an expert questionnaire can provide the following results: Figure 2 The five evaluation values ​​shown represent the overall quality assessment; thus, one can... and The optimized value expression is derived When taking level one and They are 19.25 and 180.75 respectively;

[0167] Step 303: The quality values ​​can be divided into grades. The tested fruit Correspondence Numerical values ​​are used for the precise sorting of fruits. The actual values ​​used for comprehensive quality evaluation show that the quality combination set is used at this point. for Total area of ​​deformation, total area of ​​discoloration, total area of ​​contamination, total area of ​​fruit surface defects, total area of ​​fruit flesh defects, single fruit weight Classified into levels The tested kiwifruit was classified as Grade 1. Comprehensive quality evaluation conducted Fitted values The corresponding expression is:

[0168]

[0169] If the total area of ​​deformation, total area of ​​discoloration, total area of ​​contamination, total area of ​​surface defects, total area of ​​flesh defects, and single fruit weight of a certain kiwifruit being tested are all 0.3 cm², then... 2 0.3cm 2 0.5cm 2 0.5cm 2 1cm 2 And 70g, then can be made from The fitted value of 255 for the first-grade kiwifruit quality comprehensive evaluation is used as the actual value for the comprehensive quality evaluation during the precise sorting of fruits. This allows for the completion of the comprehensive quality evaluation for the precise sorting of fruits, thus providing a reference for the reasonable pricing of this type of kiwifruit in the market.

[0170] Any parts not explicitly stated in this embodiment can be implemented using existing technologies.

[0171] The above description of the disclosed embodiments enables those skilled in the art to use this application. 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 this application. Therefore, this application 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 comprehensive quality evaluation method for precise fruit sorting, characterized in that, Includes the following steps: Step 1: When accurately sorting a certain type of fruit, a fitting value of the fruit price fluctuation index can be constructed in the initial stage, which is the range between the standard of a certain quality grade and the critical point of that quality grade. The change coefficient and constant term of the fruit price fluctuation index of that quality grade in the initial stage can be obtained. Step 2: Construct a fitted value for the fruit price fluctuation index in the later stage when the value of a certain quality exceeds the critical point of a certain quality grade and is close to the next grade but has not reached the next grade, and obtain the change coefficient and constant term of the fruit price fluctuation index of that quality and grade in the later stage. Step 3: The fitted value of the comprehensive quality evaluation of the tested fruits classified into a certain grade according to each quality value can be used as the actual value of the comprehensive quality evaluation when the fruits are accurately sorted. The fitted value can be obtained by multiplying the fitted values ​​of the fruit price fluctuation index of different quality grades in the quality combination set by the comprehensive quality evaluation coefficient of that grade and adding the comprehensive quality evaluation increment of that grade.

2. The comprehensive quality evaluation method for precise fruit sorting according to claim 1, characterized in that, Step 1 specifically includes the following steps: Step 101: When accurately sorting a certain type of fruit, set... and These are the quality number and grade number for this type of fruit. and respectively quality grade Standard values ​​and quality grade The critical point value, For quality grade When the quality value is lower than And the rest of the quality A collection of quality combinations consisting of different grades. Number the fruit samples of this type of fruit used for precise sorting. For quality grade When a certain quality value is lower than And other qualities belong A collection of fruit samples of this type of fruit. For the sample Regarding quality The value, For the sample quality The value is The corresponding price at that time For the sample quality The value is The corresponding price at that time, of which , for Corresponding to The number of fruit samples can be given at this point. Corresponding fruit price fluctuation index for Evaluations can also be provided through market research or expert questionnaires; for the aforementioned Samples in ,set up and Exceeding quality grade Standard The coefficient of variation and constant term of the fruit price fluctuation index in the initial stage can be set at the sample level in the initial stage. Quality numerical value In quality grade Standard To quality grade critical point Fruit price fluctuation index in the region The rate of change with respect to the With the The difference The ratio can be expressed as Therefore, it can be assumed that the initial stage was as described Fitted values for ; Step 102: Assume the initial stage residuals The square of the difference between the initial stage fruit price fluctuation index and its fitted value is given for different quality combinations and the aforementioned... The sum of different samples can be specifically expressed as: The See as described and The function of the independent variable can be obtained using the least squares rule. For the above and The first derivative of can be specifically expressed as: When the When it is a polarization value, then and At this point, we can obtain: Step 103, give the following when the... When it is the polarization value, the following is stated and The possible values ​​of can be specifically represented as: Among them, intermediate variables , , , , and They are respectively: And the , , , , and It is a non-zero term.

3. The comprehensive quality evaluation method for precise fruit sorting according to claim 1, characterized in that, Step 2 specifically includes the following steps: Step 201: If the quality of this type of fruit... The next level Standard Higher than level Standard ,set up Number the fruit samples of this type of fruit. For quality For level Other qualities for A certain quality combination and its quality is higher than The sample collection of this type of fruit, For the sample Regarding quality The value, For exceeding the critical point And close to the next level The coefficient of change of fruit price fluctuation indicators in the later stages. To exceed quality grade Standard And close to the next level The constant term of the fruit price fluctuation index in the later stage. For the sample quality The value is The corresponding price at that time, then the sample In quality numerical value Exceeding quality grade critical point In the later stages, when the fruit price fluctuates but is close to the next level but has not yet reached it, a fruit price fluctuation indicator can be set. The rate of change with respect to the standard of the next level Compared to the current quality value The difference The ratio, specifically At this point, a sample can be provided. Corresponding fruit price fluctuation index for Evaluations can also be provided through market research or expert questionnaires; this allows for the establishment of assessments in later stages. Fitted values , among which samples Corresponding to the above can be Give; Step 202: Assume the residuals in the later stage. The square of the difference between the fruit price fluctuation index in the later stage and its fitted value is given for different quality combinations and the aforementioned The sum of different samples can be specifically expressed as: The above can be As described and As a function of the independent variable, the least squares rule can be used to give the expression for the independent variable. and The first derivative of can be specifically expressed as: When the When taking the polarization value, then there exists and At this point, we can obtain: Step 203, give the following when the... When it is the polarization value, the following is stated and The possible values ​​of can be specifically represented as: Among them, intermediate variables , , , , and They are respectively: It can be seen that the above , , , , and It is a non-zero term.

4. The comprehensive quality evaluation method for precise fruit sorting according to claim 1, characterized in that, Step 3 specifically includes the following steps: Step 301: From the quality combination set Grades are determined based on various quality values. The tested fruit Comprehensive quality evaluation conducted Fitted values It can be obtained from the fruit being tested About quality combination set Different quality grades are used in China Fruit Price Fluctuation Index Fitted values Multiply by the class after combining Comprehensive quality evaluation coefficient at that time And add a level Incremental Quality Evaluation Obtaining, specifically, can be represented as: Among them, if quality For level The standard is that if certain characteristics are absent, then the quality... The price fluctuation index for this grade of fruit can be set as a constant of 1. It can be represented as: Among them, the and This can be given in step 103, the and This can be given in step 203. For the sample Regarding quality The value; Step 302, considering that the above can be... and The sample in the middle can also be regarded as the fruit being tested, and the residual is set. For quality combination set For the tested fruit For level Overall quality evaluation Its fitted value The square of the difference for different quality combinations and the aforementioned and The sum of different samples can be specifically expressed as: Among them, the Evaluation values ​​can be obtained from market research or expert questionnaires; Will Considered as and As a function of the independent variable, the least squares rule can be used to apply the following methods to the... and The corresponding first derivative is obtained: Then when When taking the polarization value, then and At this point, we can obtain: Step 302, give the following when the... When it is the polarization value, the following is stated and The possible values ​​of can be specifically represented as: Among them, intermediate variables , , , , and They are respectively: It can be known , , , , and Non-zero terms; Step 303: The quality values ​​can be divided into grades. The tested fruit Correspondence Numerical values ​​are used for the precise sorting of fruits. The actual values ​​used for comprehensive quality evaluation, i.e. , wherein and This can be given in step 302, the The results can be provided by the measuring equipment on the fruit sorting line, thus completing a comprehensive quality evaluation for precise fruit sorting.

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