JP2005077221A - Quality evaluation apparatus of farm products - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a quality evaluation apparatus of farm products capable of avoiding disadvantage such that the quality evaluation value of an object to be measured is calculated as a value largely containing an error by the error of reference spectrum data. <P>SOLUTION: Diffracted spectrum data calculated by projecting light on a reference body 25 for calibration is set as reference diffracted spectrum data and light is projected on the reference body 25 for calibration by a floodlight projection means 7 to calculate diffracted spectrum data for discrimination. With respect to a quality evaluation value for comparison calculated on the basis of the diffracted spectrum data for calibration and the reference diffracted spectrum data, it is judged whether the quality evaluation value for discrimination calculated on the basis of the diffracted spectrum data for discrimination and the diffracted spectrum data for calibration is in proper relation and, in the case of the proper relation, the diffracted spectrum data for discrimination is updated as the reference diffracted spectrum data. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

  The present invention provides a light projecting means for projecting light onto an object to be measured, a light receiving means for spectroscopically measuring the light transmitted through or reflected by the object to be measured and measuring the dispersed light to obtain spectral spectrum data, and the light projecting A quality evaluation process for obtaining a quality evaluation value for the measurement object based on the measured spectral spectrum data and the reference spectral data obtained by the light receiving means by projecting light onto the measurement object by the means, and Agricultural product provided with a control means for executing a calibration process for projecting light onto a calibration reference body by a light projecting means and setting the reference spectral data based on the spectral data obtained by the light receiving means It relates to a quality evaluation apparatus.

  The quality evaluation apparatus for agricultural products having the above-described configuration is, for example, a target of measurement of agricultural products such as mandarin oranges and apples. Is used to measure the internal quality of agricultural products such as sugar and acidity in a non-destructive state based on the received light information.For example, while transporting a large amount of agricultural products brought in by multiple producers on a conveyor, It is installed and used in the fruit selection equipment that is to be measured.

  In such a quality evaluation apparatus for agricultural products, as the measurement work is performed on the object to be measured, the quality evaluation value of the object to be measured is deviated from the value that should be originally obtained due to aging of the apparatus or the like, resulting in measurement errors May occur. For example, the amount of light projected onto the measurement object by the light projecting means may change, or the light receiving characteristics of the light receiving means may change, resulting in a measurement error.

  Therefore, in order to reduce such a measurement error, the calibration process is executed. That is, using a calibration reference body such as a reference filter whose optical characteristics such as light transmittance are known in advance, the spectral spectrum obtained by the light receiving means by projecting light onto the calibration reference body by the light projecting means By setting the reference spectral data using the data and normalizing the spectral data when measuring the measurement object, ie, the agricultural product, based on the reference spectral data, as described above The quality evaluation value can be accurately measured by reducing errors caused by changes in the amount of light.

  Conventionally, taking into account the aging of the device, for example, every time the device usage time reaches a set time, the light projecting means projects light onto the calibration reference body and the light receiving means measures the spectral spectrum data. Then, the measured spectral data is set as the reference spectral data, and after setting the standard spectral data, the quality evaluation process is performed using the set reference spectral data. (For example, refer patent document 1).

JP 2002-214135 A

  When performing the calibration process as described above, when light is projected onto the calibration reference body by the light projecting means and the spectral spectrum data is measured by the light receiving means, for example, temporary light such as sunlight or a strong lamp is used. Due to the presence of disturbance light, noise may be included in the spectral data, or there may be cases where electrical noise is included in addition to noise due to such disturbance light. When the quality evaluation process is performed using the spectrum data including such noise as the reference spectrum data, the quality evaluation value for the measurement object obtained by the quality evaluation process should be a normal value that should be originally obtained. Unlike the evaluation value, there is a possibility that the error may be greatly included.

  However, in the conventional configuration, since the spectral spectrum data measured by the light receiving means is projected onto the calibration reference body by the light projecting means and the subsequent measurement processing is performed, the measured object There is a disadvantage that the quality evaluation values such as sugar content and acidity of the food are required to be large and include errors. Especially when it is installed in equipment that continuously processes a large amount of objects to be measured such as fruit selection equipment, quality evaluation values such as sugar content and acidity of the objects to be measured for a large amount of objects to be measured. However, there is a disadvantage that a state where the value is measured as a value including a large error continues for a long time.

  By the way, before starting the work of measuring the quality evaluation value of the agricultural product, for example, when performing the calibration process before the start of the work of one day, as described above, the calibration reference body is used by the light projecting means. Although light is projected onto the light and the spectral spectrum data is measured multiple times by the light receiving means, the average spectral value may be used to set the reference spectral spectrum data with little measurement error. During the process of continuously measuring the quality evaluation value, it is necessary to perform the measurement process every time the device usage time reaches the set time as described above. There is a case where spectral spectrum data of a body is measured. In such a case, it is not possible to take a sufficient time for measuring the spectral data of the calibration reference body, and the spectral data obtained in one measurement is set as the reference spectral data. In some cases, spectral spectrum data including noise as described above may be set as reference spectral spectrum data.

  An object of the present invention is to provide an agricultural product quality evaluation apparatus that can avoid the disadvantages that are obtained as a value including a large error in the quality evaluation value of the measurement object due to an error in the reference spectrum data. It is in.

The first characteristic configuration of the quality evaluation apparatus for agricultural products according to the present invention is a light projecting means for projecting light onto the object to be measured, and the light transmitted through or reflected by the object to be measured and the dispersed light is measured. Light receiving means for obtaining spectral spectrum data, light on the object to be measured by the light projecting means, and the measured object based on the measured spectral spectrum data and the reference spectral spectrum data obtained by the light receiving means. Quality evaluation processing for obtaining a quality evaluation value, and calibration processing for setting the reference spectral spectrum data based on spectral spectral data obtained by the light receiving means by projecting light onto a calibration reference body by the light projecting means A quality evaluation apparatus for agricultural products provided with a control means for executing
The control means as the calibration process,
In an unset state where the reference spectral data is not set,
The light is projected onto the calibration reference body by the light projecting means to set the spectral spectrum data obtained by the light receiving means as the reference spectral data, and
In the set state where the reference spectral data is set,
The light projecting means projects light onto the calibration reference body, the light receiving means obtains spectral data for discrimination, and the calibration spectral data set as a judgment standard and the reference spectral data are used. It is determined whether or not the quality evaluation value for discrimination obtained based on the spectral data for discrimination and the spectral data for calibration is in an appropriate relationship with the quality evaluation value for comparison obtained based on Thus, the spectral data for discrimination is updated as the reference spectral data when the relationship is appropriate.

  According to the first characteristic configuration, when the control means does not set the reference spectral data, it is obtained by the light receiving means by projecting light onto the calibration reference body by the light projecting means. Spectral spectrum data is set as reference spectral spectrum data. However, as spectral spectrum data obtained at this time, it is necessary to use data that does not include an error due to disturbance.

  For example, spectral spectrum data is measured multiple times, and the average value is set as reference spectral spectrum data. Electric equipment that may generate electrical noise near the device while properly shielding the device so that no error due to ambient light occurs in the external environment of the quality evaluation device. When there is a measurement environment, such as by stopping the operation, a measurement environment in which errors due to disturbances are unlikely to occur is set, and in such an environment, light is projected onto the calibration reference body by the light projecting means. One spectral spectrum data obtained by projection and obtained by the light receiving means is set as reference spectral spectrum data. Ri can corresponding be.

  Then, in the set state where the reference spectral data is set, for example, in order to reduce the error due to the secular change that occurs as the apparatus is continuously used, the reference spectral data is an appropriate value corresponding to the secular change. When the calibration process is performed in order to update, first, light is projected onto the calibration reference body by the light projecting means, and spectral data for discrimination is obtained by the light receiving means. Then, with respect to the quality evaluation value for comparison obtained based on the spectral data for calibration and the reference spectral data, the discrimination obtained based on the spectral data for discrimination and the spectral data for calibration It is determined whether or not the quality evaluation value for use is in an appropriate relationship.

  In addition, the quality evaluation value obtained based on the reference spectral data set as described above and the calibration spectral data is used as a quality evaluation value for comparison, and light is projected onto the calibration standard. The quality evaluation value obtained based on the spectral data for discrimination and the spectral data for calibration obtained in this way is used as the quality evaluation value for discrimination. Here, if the spectral data for discrimination is measured in an appropriate state with little measurement error, the quality evaluation value for discrimination and the quality evaluation value for comparison are both the same spectral data for calibration. Since they are the corresponding quality evaluation values, they are not greatly changed. However, when the spectral data for discrimination includes a measurement error due to disturbance or the like, the quality evaluation value for discrimination and the quality evaluation value for comparison may be greatly different. Therefore, by determining whether or not the quality evaluation value for determination and the quality evaluation value for comparison are in an appropriate relationship, whether or not the spectral data for determination may be set as the reference spectral data Can be discriminated.

  As the calibration spectrum data, for example, the spectrum data is actually measured for a specific object to be measured, and the spectrum data is stored and used as calibration spectrum data. In place of the object, a pseudo-measurement body having the same optical characteristics as the object to be measured, for example, a transparent container enclosing an aqueous solution of the same component as the agricultural product, or an optical having a predetermined optical characteristic Spectral spectrum data may be measured and stored using a filter. Further, instead of being measured once and stored, it may be measured and obtained together with a quality evaluation value for comparison or a quality evaluation value for discrimination. In short, the spectral data for calibration is set to be spectral data having the same value or almost the same value in order to match the criteria for determining the quality evaluation value for comparison and the quality evaluation value for discrimination. Is.

  When it is determined that the quality evaluation value for determination and the quality evaluation value for comparison are in an appropriate relationship, the spectral data for determination is updated as the reference spectral data. The spectral data for discrimination is not erroneously updated as the reference spectral data when the quality evaluation value for discrimination and the quality evaluation value for comparison are not in an appropriate relationship. Thus, it is possible to avoid the disadvantage that the quality evaluation value of the measurement object is measured as a value including a large error. In addition, since quality evaluation values, which are data finally obtained as a quality evaluation device, are compared, the criteria for determining whether or not they are appropriate are clear, and the quality evaluation values can be measured correctly without any errors. It becomes possible.

  In the set state where the reference spectral data is set, when the calibration processing is executed again after executing the processing for updating the spectral data for discrimination as the reference spectral data, it is updated last time. The quality evaluation value for comparison may be obtained using the reference spectral spectrum data obtained, or the quality evaluation value for comparison may be obtained using the reference spectral spectrum data set in an unset state. .

  Further, according to the above configuration, since the calibration spectral data as described above is used, for example, spectral spectral data is measured for a plurality of objects to be measured, and quality evaluation values are obtained as described above, and their averages are obtained. Compared to the case where the calibration process is performed using the value, the calibration process can be easily performed with less measurement work.

  Therefore, according to the first characteristic configuration, the quality evaluation of the agricultural product that can avoid the disadvantage that the quality evaluation value of the measurement object is required to be a value including a large error due to the error of the reference spectrum data. We have been able to provide equipment.

  In the second feature configuration of the agricultural product quality evaluation apparatus according to the present invention, in addition to the first feature configuration, the control unit may include the quality evaluation value for discrimination and the quality evaluation value for comparison in the calibration process. If the difference is less than the set amount, it is determined that the appropriate relationship is determined.

  According to the second feature configuration, if the difference between the quality evaluation value for determination and the quality evaluation value for comparison is less than a set amount, the appropriate relationship is determined. Whether or not the relationship is related can be determined by simple arithmetic processing, and the control means can have a simple configuration.

  In addition to the first feature configuration or the second feature configuration, the third feature configuration of the agricultural product quality evaluation apparatus according to the present invention is the calibration spectral spectrum data used by the control means in the calibration process. The measurement spectral spectrum data obtained by the light receiving means is stored by projecting light onto the specific object to be measured by the light projecting means.

  According to the third characteristic configuration, the measured spectral spectrum data obtained by projecting light onto the specific object to be measured by the light projecting means and stored by the light receiving means as the calibration spectral spectrum data is stored. The calibration spectral data and the discriminating spectral data are obtained by obtaining the comparison quality evaluation value based on the calibration spectral data and the reference spectral data set in advance. Therefore, when determining the quality evaluation value for discrimination, light is projected again onto the specific object to be measured by the light projecting means to the light receiving means. This eliminates the troublesome task of obtaining the measured spectral data and makes it easy to perform the calibration process. Since use of the measurement data for a particular object to be measured, and there is also an advantage that it is possible to as low as possible state measurement errors in the case of measuring the quality evaluation value for the other object to be measured.

The 4th characteristic structure of the quality evaluation apparatus of the agricultural product which concerns on this invention is the light projection means which projects light on a to-be-measured object, and the light which permeate | transmitted or reflected to the to-be-measured object is disperse | distributed, The light which measured the spectrum is measured. Light receiving means for obtaining spectral spectrum data, light on the object to be measured by the light projecting means, and the measured object based on the measured spectral spectrum data and the reference spectral spectrum data obtained by the light receiving means. Quality evaluation processing for obtaining a quality evaluation value, and calibration processing for setting the reference spectral spectrum data based on spectral spectral data obtained by the light receiving means by projecting light onto a calibration reference body by the light projecting means A quality evaluation apparatus for agricultural products provided with a control means for executing
The control means as the calibration process,
In an unset state where the reference spectral data is not set,
Specting light to the calibration reference body by the light projecting means to set the spectral spectrum data obtained by the light receiving means as the reference spectral data, and
In the set state where the reference spectral data is set,
The light projecting means projects light onto the calibration reference body, the light receiving means obtains spectral data for discrimination, and the measured spectral data and the standard spectral data obtained for a plurality of objects to be measured. The spectral data for discrimination and the measured spectral data obtained for the plurality of measured objects with respect to the representative value for comparison obtained from the quality evaluation values for the plurality of measured objects determined based on It is determined whether or not the representative value for determination obtained from the quality evaluation values for the plurality of measured objects obtained based on the above is an appropriate relationship, and if it is an appropriate relationship, the spectral data for the determination is determined. The reference spectral spectrum data is configured to be updated.

  According to the fourth characteristic configuration, when the control means does not set the reference spectral data, it is obtained by the light receiving means by projecting light onto the calibration reference body by the light projecting means. Spectral spectrum data is set as reference spectral spectrum data. However, as in the case of the first feature configuration, it is necessary to use data that does not include an error due to disturbance as the spectral data obtained at this time.

  For example, spectral spectrum data is measured multiple times, and the average value is set as reference spectral spectrum data. Electric equipment that may generate electrical noise near the device while properly shielding the device so that no error due to ambient light occurs in the external environment of the quality evaluation device. When there is a measurement environment, such as by stopping the operation, a measurement environment in which errors due to disturbances are unlikely to occur is set, and in such an environment, light is projected onto the calibration reference body by the light projecting means. One spectral spectrum data obtained by projection and obtained by the light receiving means is set as reference spectral spectrum data. Ri can corresponding be.

  In the set state where the reference spectral data is set, the reference spectral data is set to an appropriate value corresponding to the aging in order to reduce the error due to the aging that occurs as the apparatus is continuously used. When it is necessary to update, first, the light projecting means projects light onto the calibration reference body, and the light receiving means obtains spectral data for discrimination. Then, a representative value for comparison is obtained from the quality evaluation values for the plurality of objects to be measured that are obtained based on the measured spectrum data obtained for the plurality of objects to be measured and the reference spectrum data. For example, the average value of the quality evaluation values for a plurality of objects to be measured, their median value, or the most frequent mode value can be obtained as the representative value for comparison. In addition, a representative representative value is obtained from quality evaluation values for the plurality of measured objects obtained based on the spectral data for determination and the measured spectral spectrum data obtained for the plurality of measured objects. For example, an average value or a median value of quality evaluation values for a plurality of objects to be measured, a mode value having the highest frequency, or the like can be obtained as a representative value for determination. And it is discriminate | determined whether the said representative value for discrimination | determination is an appropriate relationship with respect to the said representative value for contrast.

  Here, if the spectral data for discrimination is measured in an appropriate state with little measurement error, the comparison representative value and the discrimination representative value are not greatly changed. However, when the spectral data for discrimination includes a measurement error due to disturbance or the like, the comparison representative value and the discrimination representative value may be greatly different. Therefore, it is determined whether or not the spectral data for determination may be set as the reference spectral data by determining whether or not the representative value for comparison and the representative value for determination are in an appropriate relationship. Can do it.

  If the comparison representative value and the determination representative value are in an appropriate relationship, the determination spectral spectrum data is updated as the reference spectral data, and the comparison representative value and the determination representative value are Since the spectral data for determination is not erroneously updated as the reference spectral data when the relationship is not appropriate, the quality evaluation value of the object to be measured is a value that includes a large error due to the reference spectral data including the error. The disadvantage of being measured as can be avoided.

  In addition, according to the above configuration, since the comparison representative value and the discrimination representative value are obtained based on the measured spectral spectrum data obtained for a plurality of objects to be measured, for example, only one object is obtained. If the measurement object is compared based on the measurement result, for example, there is a possibility that a measurement error of the quality evaluation value may occur due to, for example, a specific object to be measured that is out of the typical quality evaluation value. Thus, it is possible to determine whether there is an appropriate relationship based on a value close to a typical quality evaluation value of the measurement object without such disadvantage.

  Therefore, according to the fourth feature configuration, the quality evaluation of agricultural products that can avoid the disadvantage that the quality evaluation value of the object to be measured is large and includes the error due to the error of the reference spectrum data can be avoided. We have been able to provide equipment.

  According to a fifth feature configuration of the agricultural product quality evaluation apparatus according to the present invention, in addition to the fourth feature configuration, the control means may include a difference between the comparison representative value and the determination representative value in the calibration process. If it is less than the set amount, it is configured to discriminate that it is the proper relationship.

  According to the fifth feature configuration, since the configuration is such that the appropriate relationship is determined if the difference between the comparison representative value and the determination representative value is less than a set amount, it is an appropriate relationship. It can be determined by simple arithmetic processing, and the control configuration of the control means can be simplified.

  In addition to any one of the first to fifth characteristic configurations, the sixth characteristic configuration of the agricultural product quality evaluation apparatus according to the present invention determines that the control means does not have the proper relationship in the calibration process. In this case, the reference spectral data set in advance is set as the reference spectral data.

  That is, in the calibration process, when it is determined that the relationship is not appropriate, the already set reference spectrum data is set as the reference spectrum data, and is already set at that time. By setting the value as the reference spectral data, the measurement of the quality evaluation value is continued without causing a large measurement error as the quality evaluation value due to erroneous setting of the spectral data including the error. It becomes possible.

  In addition to any one of the first to fifth characteristic configurations, the seventh characteristic configuration of the agricultural product quality evaluation apparatus according to the present invention has determined that the control means does not have the proper relationship in the calibration process. In this case, again, the light projecting means projects light onto the calibration reference body, the light receiving means obtains spectral data for discrimination, and the discrimination quality is compared with the quality evaluation value for comparison. The quality evaluation value is determined to be in an appropriate relationship, and if it is in an appropriate relationship, the determination spectral spectrum data is updated as the reference spectral spectrum data.

  That is, in the calibration process, when it is determined that the relationship is not appropriate, spectral data for determination is obtained again, and the quality evaluation value for comparison is determined based on the obtained result. If the quality evaluation value for use is in an appropriate relationship, the discrimination spectral data is updated as the reference spectral data, so that an appropriate value is always set as the reference spectral data, and the spectral spectrum including an error. Measurement of the quality evaluation value can be continued in a state where a large measurement error does not occur as the quality evaluation value due to erroneous setting of data.

[First Embodiment]
Hereinafter, a first embodiment of an agricultural product quality evaluation apparatus according to the present invention will be described with reference to the drawings.
This quality evaluation device is a device for measuring sugar content or acidity as a quality evaluation value of agricultural products such as tangerine as a measurement object, and a light projecting means for projecting light to the measurement object located at the measurement location And a light receiving means for splitting the light transmitted through the object to be measured and measuring the dispersed light to obtain spectral spectrum data, and obtaining a quality evaluation value of the object to be measured based on light reception information of the light receiving means And a control means for controlling the operation.

Hereinafter, the configuration of the quality evaluation apparatus will be specifically described.
As shown in FIG. 1, the quality evaluation apparatus receives light that has passed through the light projecting unit 7 and light projecting means 7 that projects light onto the object W and the object W, and measures the received light. The measuring unit 4 includes a light receiving unit 8 as a light receiving unit, and a control device H using a microcomputer as a control unit for executing various control processes. The object to be measured W is transported as a transport unit. It is configured to be placed and conveyed in a single column by the conveyor 2, and is configured to sequentially pass through the measurement points by this apparatus.

  Then, the light projected from the light projecting unit 7 on the object W located at the measurement location is projected in a state of being received by the light introducing unit 9 in the light receiving unit 8 after passing through the object W to be measured. The unit 7 and the light introducing part 9 are arranged so as to be distributed on both the left and right side parts of the measurement location, that is, on both side parts in the transport lateral width direction of the transport conveyor 2. The light introducing section 9 is connected to a light receiving unit main body 27 fixedly arranged below the transport conveyor 2 by a flexible optical fiber 26, and the light received by the light introducing section 9 is the optical fiber 26. Through the light receiving unit main body 27, spectrally split by the spectroscopic means provided in the light receiving unit main body 27, and the spectrally separated light is measured by a light receiving sensor (not shown) provided in the light receiving unit main body 27 to obtain spectral spectrum data. It is the structure which asks for. Accordingly, the light receiving unit 8 is formed by the light receiving unit main body 27, the optical fiber 26, the light introducing portion 9, and the like.

Next, the configuration of the light projecting unit 7 will be described.
As shown in FIG. 3, the light projecting unit 7 includes a pair of light source units 34 disposed in front of and behind a bottom surface 32 a of a rectangular parallelepiped housing 32, and each light source unit 34 between the light source units 34. A pair of reflecting mirrors 35 disposed at a predetermined angle (for example, 45 degrees) with respect to each other, a shutter 36 disposed between each reflecting mirror 35 and each light source 34, and an inner surface of the housing 32 It has a pair of lenses 38 etc. which are arrange | positioned inside the projection port cover 37 of 32c (side surface by the side of the conveyance conveyor 2). The pair of lenses 38 are provided at a predetermined angle in a plan view so as to focus the light reflected by the reflecting mirrors 36 on the produce W on the tray 3 of the conveyor 2, and the projection of the projection port cover 37. In order to project light on the substantially side surface of the agricultural product W located below the mouth 37a, it is provided in a state inclined at a predetermined angle in the vertical direction by being positioned below the center position of the light source unit 34 and the reflection mirror 35. It has been. In the figure, reference numeral 39 denotes an L-shaped cover having a front wall 39a and an outer wall 39b in a plan view, and is detachably provided.

  Further, the light projecting unit 7 and the light introducing unit 9 in the light receiving unit 8 are integrated with the fixed frame 6 so as to be movable up and down with respect to the conveyor 2, and the light projecting unit 7 and the light introducing unit 9. Is provided to be movable in the left-right direction (see B in the figure). That is, the motor 10 is fixed at a substantially central position in the width direction of the fixed frame 6 in a state where the rotation shaft is in a vertical state, and the screw shaft 11 is connected to the rotation shaft of the motor 10. At the lower end, a substantially middle position of the support plate 13 fixed at the four corners to the fixed frame 6 by the guide rod 12 is fixed. A screw guide 14 is screwed to the screw shaft 11 of the motor 10, and the outer peripheral surface of the screw guide 14 is fixed to an intermediate position of the lifting plate 15. The corners are guided by the guide rods 12 so as to be movable in the vertical direction (see FIG. 1C).

  In addition, on the upper surface of the substantially central position of the lifting plate 15, screw shafts 17a and 17b in which a pair of motors 16a and 16b are in a horizontal state and are connected to the rotation shafts are arranged in outer directions in which their axial directions are different from each other. The front ends of the screw shafts 17a and 17b are fixed to shaft support plates 18a and 18b arranged in parallel along the transport direction of the transport conveyor 2. Furthermore, screw guides 20a and 20b to which moving members 19a and 19b are fixed are screwed to the screw shafts 17a and 17b, and guides 21a and 21b are respectively provided at the front and rear ends of the moving members 19a and 19b in the conveying direction. It is fixed.

  As shown in FIG. 2, guide shafts 23 are fitted into the front and rear guides 21 a and 21 b, and the guide shafts 23 are paired with a pair of fixed blocks 22 on the upper surface of the front and rear end portions of the lifting plate 15. The left and right tips are in contact with the left and right shaft support plates 18a and 18b. The lengths of the guide shaft 23 and the screw shafts 17a and 17b are set to a predetermined length that allows the left and right moving members 19a and 19b to move a predetermined distance in the left and right direction of the transport conveyor 2 to perform measurement processing and the like. Yes. Further, the upper end of the mounting rod 24 is fixed in a vertical state on the lower surface of the support plate 13, and a calibration reference body 25 made of, for example, an ND filter whose optical identification is known in advance is provided at the lower end of the mounting rod 24. It is fixed.

  The pair of left and right moving members 19a and 19b are arranged in parallel with a predetermined interval along the transport direction of the transport conveyor 2, and the light projecting unit 7 is attached to the lower part of the right moving member 19b. The light introducing part 9 of the light receiving unit 8 is attached to the lower part of the moving member 19a. That is, the left moving member 19a is formed in a vertical plate shape, the guide 21a is fixed to the upper end portion thereof at a predetermined interval along the transport direction, and the screw guide 20a is fixed at a substantially intermediate position. A light introducing portion 9 is detachably attached to a substantially middle position in the transport direction at the lower end portion.

  The right moving member 19b includes a vertical member 30 and an outer frame member 301 fixed to the outside of the lower end portion of the vertical member 30. The outer frame member 301 and the vertical member 30 are disposed on the inner side thereof. A pair of slide devices 31, 31 that hold the optical unit 7 so as to be slidable are arranged. The slide devices 31 and 31 are fixed to the vertical member 30 and the outer frame member 301, and are fixed to the fixed rails 31a and 31a so as to be slidable via a plurality of ball guides 31b and 31b. A pair of front and rear suspension bodies 33 provided on the upper surface 32f of the housing 32 of the light projecting unit 7 are fixed to a connecting member 31d that connects the slide rails 31c and 31c. ing.

  In this quality evaluation apparatus, light is projected from the light projecting unit 7 onto the produce W placed on the tray 3 of the conveyor 2, and the transmitted light is transmitted from the light introducing unit 9 of the light receiving unit 8 through the optical fiber 26. Spectral spectrum data is measured by the light receiving unit main body 27 and the internal quality of the agricultural product W is measured based on the spectral spectrum data. This measurement is performed using the calibration reference body 25. This is performed after measurement of reference spectral data as described later.

  In other words, the control device H projects the light on the object to be measured by the light projecting unit 7 and the object to be measured based on the measured spectral spectrum data and the reference spectral data obtained by the light receiving unit 8. Quality evaluation processing for obtaining a quality evaluation value, and calibration for setting reference spectral spectrum data based on spectral spectral data obtained by the light receiving unit 8 by projecting light onto the calibration reference body 25 by the light projecting unit 7 It is configured to perform processing.

  Then, as the calibration processing, the control device H projects light on the calibration reference body 25 by the light projecting unit 7 and obtains it by the light receiving unit 8 when the reference spectral data is not set. The set spectral spectrum data is set as the reference spectral spectrum data, and in the set state in which the reference spectral spectrum data is set, the light projecting unit 7 projects light onto the calibration reference body 25 to receive light. Spectral spectral data for discrimination is obtained by means, and for the quality evaluation value for comparison obtained based on the spectral spectral data for calibration set for judgment criteria and the reference spectral spectral data, The discriminating quality evaluation value obtained based on the spectral data and the calibration spectral data is appropriate. To determine whether there is configured a as a proper relationship spectral data for the determination to update as the reference spectrum data.

  When the explanation is added, the control device H is configured to discriminate that the appropriate relationship is established if the difference between the quality evaluation value for determination and the quality evaluation value for comparison is less than a set amount, and the appropriate If it is determined that the relationship is not related, the light projecting unit 7 again projects light onto the calibration reference body 25 and the light receiving unit 8 obtains spectral data for determination, and the contrast quality is determined. It is configured to determine whether or not the quality evaluation value for determination is in an appropriate relationship with respect to the evaluation value, and to update the spectral data for determination as the reference spectral data if the relationship is appropriate. ing.

FIG. 5 shows a flowchart of the calibration process by the control device H. A specific processing operation will be described based on this flowchart.
When the calibration processing is started, when the reference spectral data is not yet set, the light projecting unit 7 projects light onto the calibration reference body 25 and is obtained by the light receiving unit 8 before performing the measurement operation on the agricultural products. Spectral spectrum data is set as the reference spectral data. In other words, the light projecting unit 7 and the light introducing unit 9 are moved up and down to the calibration upper and lower positions, and light is projected from the light projecting unit 7 to the calibration reference body 25 and transmitted through the calibration reference body 25. Are adjusted to the calibration upper and lower positions received by the light introducing section 9 (steps 1 and 2).

  More specifically, when the motor 10 is rotated, the screw shaft 11 rotates and the screw guide 14 moves up and down, and the elevating plate 15 is guided by the guide rod 12 following the vertical movement of the screw guide 14. Move up and down. As the elevating plate 15 moves up and down, the moving members 19a and 19b connected to the elevating plate 15 by the motors 16a and 16b, the screw shafts 17a and 17b, and the screw guides 20a and 20b move up and down, and the sliding member moves to the moving member 19b. 31, the light projecting unit 7 fixed via the suspension body 33 and the light introducing portion 9 fixed directly to the moving member 19a move in the vertical direction, and the calibration reference body 25 as shown in FIG. The vertical position for calibration corresponding to is set.

  In a state where the calibration upper and lower positions are set, light is projected from the light projecting unit 7 onto the calibration reference body 25, and the light transmitted through the calibration reference body 25 is received by the light receiving unit 8 to obtain spectral spectrum data. Is measured (step 3). If the spectral data for the calibration reference body 25 is measured only once, the spectral data may be measured in a state including a measurement error caused by disturbance light, electrical noise, or the like. At this time, the spectral spectrum data is measured a set number of times and the average value thereof is used to eliminate the influence of such noise as much as possible. At this time, the detection value of the light receiving sensor, that is, the dark current in the non-lighted state where the light to the light receiving sensor is blocked in the light receiving unit 8 is also measured (step 4). That is, a shutter mechanism (not shown) provided in the light receiving unit main body 27 is switched to a closed state, and a detection value for each unit pixel of the light receiving sensor at that time is obtained as a dark current. Then, an average value for each wavelength is obtained for the set number of spectral spectrum data, and the averaged spectral spectrum data is set as reference spectral spectrum data and stored in a memory (not shown) (step 5).

  Next, by rotating the motor 10 and moving the lifting plate 15 up and down as described above, the light projecting unit 7 and the light introducing unit 9 are moved in the vertical direction so that the object to be measured is located on the conveyor. The corresponding measurement vertical position is set (step 6). One specific agricultural product is selected as a specific object to be measured from a large number of agricultural products, and when the specific object to be measured is at the measurement position, light is projected onto the light projecting unit 7 to select the object to be measured. The transmitted light is received by the light receiving unit 8 to measure spectral spectrum data, and the data is stored in a memory as calibration spectral data (step 7).

  Next, a calculation process for analyzing the internal quality of the object W to be measured is executed by using a spectroscopic analysis method that is a publicly known technique based on the various data thus obtained. In other words, based on the spectral data for calibration, the reference spectral data, and the dark current data, the absorbance at each wavelength is obtained, and the second derivative of the absorbance spectrum at each wavelength is further obtained. The component amount corresponding to the sugar content or the acidity contained in the object W to be measured and the component amount corresponding to the acidity, that is, the quality evaluation value for the specific object to be calculated as the quality evaluation value for comparison, Are stored in the memory (steps 8, 9, 10).

  The absorbance d is Rd as reference spectral data, Sd as measured spectral data, and Da as dark current data.

[Equation 1]
d = log {(Rd−Da) / (Sd−Da)}

  The control device H calculates the amount of components contained in the measurement object W based on the multiple regression analysis according to the following equation (2).

[Equation 2]
Y = K0 + K1 · A (λ1) + K2 · A (λ2)

  Where Y: component amount K0, K1, K2; coefficients A (λ1), A (λ2); second derivative of absorbance spectrum at specific wavelength

  The control device H stores in advance a specific component amount calculation formula, specific coefficients K0, K1, K2, wavelengths λ1, λ2, and the like for each component for calculating the component amount. The component amount of each component is calculated using a specific component amount calculation formula for each component.

  After the reference spectral spectrum data is set and stored in this way, the spectral data is measured for the workpiece W that is transported so as to pass through the measurement location on the conveyor 2 and the measurement is performed. Based on the spectral data and the reference spectral data for the workpiece W, the quality evaluation value as described above is obtained.

  When the calibration process is executed in the set state where the reference spectral spectrum data is set, the light projecting unit 7 and the light introducing unit 9 are moved to the calibration upper and lower positions, and the light projecting unit 7 performs calibration. Light is projected onto the reference body 25, and the light transmitted through the calibration reference body 25 is received by the light receiving unit 8 to measure spectral spectrum data and dark current data (steps 11, 12, and 13). The spectrum data measured at this time corresponds to the spectrum data for discrimination.

  Next, the spectral spectrum data for calibration of the specific measurement object stored as described above is read out, and the spectral spectrum data for calibration, the spectral data for discrimination, and the dark current data are read. Based on this, the absorbance for each wavelength is obtained and the second derivative value of the absorbance spectrum is obtained. The component corresponding to the amount of sugar and the acidity corresponding to the sugar content contained in the measurement object W based on the second derivative value. A quantity, that is, a quality evaluation value for a specific object to be measured is calculated as a quality evaluation value for discrimination (steps 14, 15, 16, and 17).

  Next, the quality evaluation value for discrimination is compared with the quality evaluation value for comparison stored in the memory, and if the difference is within a preset setting range, the quality evaluation value for comparison is obtained. On the other hand, it is determined that the quality evaluation value for determination is in an appropriate relationship, and the stored spectrum data is rewritten and updated as the reference spectral data for the determination spectral data (steps 18 and 19).

  If it is determined that the relationship is not appropriate, steps 11 to 18 are executed again. In other words, the light projecting unit 7 and the light introducing unit are adjusted to the calibration upper and lower positions to obtain spectral data for discrimination, and the quality evaluation value for discrimination is in an appropriate relationship with the quality evaluation value for comparison. It is determined whether or not there is an appropriate relationship, and if the relationship is appropriate, the spectral data for determination is updated as the reference spectral data.

  By doing so, for example, when there is an error in the spectral data for discrimination due to disturbance or the like, the data including such an error is not set as the reference spectral data, and always appropriate spectral data. Are updated as the reference spectral data.

[Second Embodiment]
Next, a second embodiment of the agricultural product quality evaluation apparatus according to the present invention will be described.
In the second embodiment, the control configuration of the control device H as the control means is different, but the other configurations are the same as those in the first embodiment, so only the different configurations will be described, and the same configuration and control will be described. The description of the same processing contents by the apparatus is omitted.

  That is, in the first embodiment, when it is determined that the quality evaluation value for determination is not in an appropriate relationship with respect to the quality evaluation value for comparison, the light projecting unit 7 and the light introduction unit are moved to the calibration upper and lower positions. To determine spectral spectrum data for discrimination again, determine whether or not the quality evaluation value for discrimination is in an appropriate relationship with respect to the quality evaluation value for comparison, In this embodiment, the determination spectral data is updated as the reference spectral data, but in this embodiment, the following configuration is used instead of such a configuration.

  That is, as shown in FIG. 6, when it is determined that the determination representative value is not in an appropriate relationship with respect to the comparison representative value, the reference spectral spectrum data that has already been set is reproduced as reference spectral spectrum data. The configuration is set (step 20). The other processes are the same as those in the first embodiment, and the same processing numbers as in the first embodiment are described for the same processing contents.

[Third Embodiment]
Next, a third embodiment of the agricultural product quality evaluation apparatus according to the present invention will be described.
In the third embodiment, the control configuration of the control device H as the control means is different, but other configurations are the same as those in the first embodiment, so only the different configurations will be described, and the same configurations will be described. Description is omitted.

  In other words, in this embodiment, the light emitting unit 7 projects light onto the calibration reference body 25 by the light projecting unit 7 when the control device does not set the reference spectral data as the calibration process. 8 is set as the reference spectrum data, and in the set state where the reference spectrum data is set, the light projecting unit 7 projects light onto the calibration reference body 25. Then, the spectral data for discrimination is obtained by the light receiving unit 8, and the quality of the plurality of measured objects obtained based on the measured spectral data obtained for the plurality of measured objects and the reference spectral data. With respect to the representative value for comparison obtained by averaging the evaluation values, the spectral data for discrimination and a plurality of objects to be measured are used. It is determined whether or not the representative value for determination obtained by averaging the quality evaluation values for the plurality of measured objects obtained based on the measured spectral spectrum data obtained in the above is an appropriate relationship, If there is, it is configured to update the spectral data for discrimination as the reference spectral data.

Specific processing will be described based on the control flowchart shown in FIG.
When the calibration process is started, when the reference spectral data is not yet set, the light projecting unit 7 projects light onto the calibration reference body 25 before performing the measurement work on the agricultural product, as in the first embodiment. Then, the spectrum data obtained by the light receiving unit 8 is set as the reference spectrum data. That is, the light projecting unit 7 and the light introducing unit 9 are moved to the calibration upper and lower positions (see FIG. 4), and light is projected from the light projecting unit 7 to the calibration reference body 25, so that the calibration reference body 25 is moved. The transmitted light is received by the light receiving unit 8 to measure spectral spectrum data (steps 21, 22, and 23). At this time, similarly to the first embodiment, the spectral spectrum data is repeatedly measured a set number of times. At that time, as in the first embodiment, dark current is also measured (step 24). Then, the spectrum data obtained by averaging each wavelength of the set number of spectrum data is set as reference spectrum data and stored in the memory (step 25).

  Next, the light projecting unit 7 and the light introducing unit 9 are set to the measurement upper and lower positions (step 26), and the spectral spectrum data for each of the set number of objects (for example, about several tens to 100). And the quality evaluation value for each object to be measured is calculated in the same manner as in the first embodiment. That is, as in the case of the first embodiment, for each object to be measured, the absorbance for each wavelength obtained by spectroscopy based on the measured spectral spectrum data, reference spectral data, and dark current data is obtained ( Steps 27 and 28), and further obtaining a second derivative value of the absorbance spectrum for each wavelength (Step 29), and using the second derivative value, the amount of components and acidity corresponding to the sugar content contained in each measured object W Is calculated, that is, a quality evaluation value for each object to be measured (step 30). Then, an average value of the plurality of quality evaluation values is obtained as a comparison representative value and stored in the memory (step 31).

  When the calibration process is executed in the set state where the reference spectral data is set, the light projecting unit 7 and the light introducing unit 9 are moved to the calibration upper and lower positions (step 32), and the light projecting unit The light is projected from 7 to the calibration reference body 25, and the light transmitted through the calibration reference body 25 is received by the light receiving unit 8 to measure spectral spectrum data (step 33). The spectrum data measured at this time corresponds to the spectrum data for discrimination. At that time, the dark current is also measured in the same manner as in the first embodiment (step 34).

  Next, the light projecting unit 7 and the light introducing unit 9 are set to the measurement upper and lower positions (step 35), and the spectral spectrum data for each of the set number of objects (for example, about several tens to 100). , And by calculating the absorbance and the second derivative value for each wavelength for each object to be measured, the quality evaluation value is obtained (steps 36, 37, and 38). 39). Then, an average value of the plurality of quality evaluation values is obtained as a representative value for discrimination (step 40).

  Next, the discrimination representative value is compared with the comparison representative value, and if the difference is within a preset setting range, it is determined that the discrimination representative value is in an appropriate relationship with the comparison representative value. Then, the contents of the memory are rewritten and updated with the spectral data for discrimination as the reference spectral data (steps 41 and 42).

  If it is determined that the difference between the determination representative value and the comparison representative value exceeds the set range and the determination representative value does not have the proper relationship with respect to the comparison representative value, steps 32 to 41 are performed again. Execute. That is, the light projecting unit 7 and the light introducing unit 9 are adjusted to the calibration upper and lower positions, the spectral data for determination is obtained, and the spectral data is measured for the set number of objects to be measured. And determining whether or not the representative representative value for comparison and the representative representative value for comparison are in an appropriate relationship, and determining that they are in an appropriate relationship, the spectral spectrum data for determination is used as the reference spectral data. It will be updated as spectrum data.

[Fourth Embodiment]
Next, a fourth embodiment of the agricultural product quality evaluation apparatus according to the present invention will be described.
In the fourth embodiment, the control configuration of the control device H as the control means is different, but other configurations are the same as those in the third embodiment, so only the different configurations will be described, and the same configurations will be described. Description is omitted.

  That is, in the third embodiment, when it is determined that the determination representative value is not in an appropriate relationship with respect to the comparison representative value, the light projecting unit 7 and the light introduction unit are adjusted to the calibration vertical position. Then, again, spectral data for discrimination is obtained, and whether the representative value for discrimination is in an appropriate relationship with the representative value for comparison is determined. Is updated as the reference spectral spectrum data. In this embodiment, instead of such a configuration, the following configuration is used.

  That is, as shown in FIG. 8, when it is determined that the determination representative value is not in an appropriate relationship with respect to the comparison representative value, the already set reference spectral data is re-used as reference spectral data. The configuration is set (step 43). Other processes are the same as those in the third embodiment, and the same processing numbers as in the third embodiment are described for the same processing contents.

[Another embodiment]
Hereinafter, other embodiments are listed.

(1) In the first and second embodiments, when the reference spectral spectrum data is set, the measured spectral spectrum obtained by projecting light onto the specific object to be measured by the light projecting means and the light receiving means. The data is stored as calibration spectral data, and the stored calibration spectral data is read to obtain the quality evaluation for discrimination. Instead of such a configuration, the following configuration is provided. May be.

  For example, when obtaining the discrimination quality evaluation, spectral spectrum data may be measured again for the specific object to be measured and set as calibration spectral data.

  In addition, as the spectral data for calibration, a pseudo-measurement body having optical characteristics similar to the measurement object, for example, a transparent container, instead of using the measurement spectral spectrum data measured for a specific measurement object Measure the spectral spectrum data using an optical filter with the same optical characteristics as that of the crop, or use an optical filter with the specified optical characteristics, and use the measurement results as calibration spectral data. Also good. In addition, at this time, the measurement is not limited to the data that is once measured and stored in the memory, but may be measured and obtained together with the quality evaluation value for comparison or the quality evaluation value for discrimination. .

(2) In the third and fourth embodiments, in the calibration process, if the difference between the representative representative value for discrimination and the representative representative value for comparison is less than a preset amount that is a predetermined constant value, the appropriate value Although it is configured to discriminate the relationship, the present invention is not limited to such a configuration, and the set amount is set as a value that appropriately changes according to the length of the use period of the apparatus, the number of measured objects to be measured, A thing may be sufficient and it can change suitably and can implement. Further, instead of obtaining the average value of the quality evaluation values for a plurality of objects to be measured as the representative value for discrimination, the median value of the quality evaluation values for the plurality of objects to be measured or the highest frequency A frequent value or the like may be obtained as a representative value for comparison. Similarly for the representative value for determination, instead of calculating the average value of quality evaluation values for a plurality of objects to be measured, the median of quality evaluation values for a plurality of objects to be measured or the most frequent The mode value or the like may be obtained as a representative value for determination.

(3) In each of the above embodiments, in the unset state in which the reference spectral spectrum data is not set in the calibration process, the light projecting means projects light onto the calibration reference body and is obtained by the light receiving means. When the obtained spectrum data is set as the reference spectrum data, the spectrum data is repeatedly measured for a set number of times, and the spectrum data obtained by averaging each spectrum wavelength of the set number of times is used as a reference. Although the configuration is set as the spectral spectrum data, the following configuration may be used instead of such a configuration.

  In other words, when there is an electrical device that may properly shield the external environment of the quality evaluation device so that an error due to disturbance light does not occur or there is an electrical device that may generate electrical noise near the device, A measurement environment where errors due to disturbances are unlikely to occur in the spectral data, such as when the operation is stopped, is set, and in such an environment, the light projecting means projects light onto the calibration reference body, and the light receiving means It may be configured to set one piece of spectral data obtained in step 1 as reference spectral data.

(4) In each of the above-described embodiments, the light projecting unit and the light introduction unit are arranged on both the left and right sides of the measurement location, that is, on both sides in the transport width direction of the transport conveyor. Instead of such a configuration, a pair of light projecting units are disposed on both sides in the transport direction of the transport conveyor, and the transmitted light of both the light projecting units is received by the light introducing portion of the light receiving unit disposed at the lower part of the transport conveyor It is good.

(5) In each of the above embodiments, the light projecting means projects light onto the object to be measured, the light receiving means disperses the light transmitted through the object to be measured, and the spectral light is measured to obtain a spectral spectrum. Although the configuration for obtaining data is not limited to this configuration, the light receiving means may be configured to obtain the spectral spectrum data by spectrally dividing the light reflected from the object to be measured and measuring the dispersed light.

(6) In the above embodiments, the sugar content and the acidity are exemplified as the quality evaluation values of the agricultural products. However, as the quality evaluation values, the quality of agricultural products other than the sugar content and the acidity may be measured.

Longitudinal sectional view of the quality evaluation apparatus of the first embodiment AA arrow view of FIG. BB line view of FIG. 1 Longitudinal sectional view of the quality evaluation device in the calibration state of the first embodiment Control flowchart of the first embodiment Control flowchart of the second embodiment Control flowchart of the third embodiment Control flowchart of the fourth embodiment

Explanation of symbols

7 Light projecting means 8 Light receiving means 25 Reference body for calibration H Control means

Claims (7)

A light projecting means for projecting light onto the object to be measured;
A light receiving means for spectroscopically measuring the light transmitted through or reflected by the object to be measured and measuring the dispersed light to obtain spectral spectrum data;
A quality evaluation process for obtaining a quality evaluation value for the measurement object based on the measured spectral data and the reference spectral data obtained by the light receiving means by projecting light onto the measurement object by the light projecting means; And a control means for executing calibration processing for projecting light onto a calibration reference body by the light projecting means and setting the reference spectral spectrum data based on the spectral spectrum data obtained by the light receiving means. A quality evaluation device for agricultural products,
The control means as the calibration process,
In an unset state where the reference spectral data is not set,
Specting light to the calibration reference body by the light projecting means to set the spectral spectrum data obtained by the light receiving means as the reference spectral data, and
In the set state where the reference spectral data is set,
The light projecting means projects light onto the calibration reference body, the light receiving means obtains spectral data for discrimination, and the calibration spectral data set as a judgment standard and the reference spectral data are used. It is determined whether or not the quality evaluation value for discrimination obtained based on the spectral data for discrimination and the spectral data for calibration is in an appropriate relationship with the quality evaluation value for comparison obtained based on And the quality evaluation apparatus of the agricultural product comprised so that the said spectral spectrum data for a discrimination | determination might be updated as the said reference | standard spectral spectrum data as it is an appropriate relationship.   The said control means is comprised so that it may discriminate | determine that it is the said appropriate relationship in the said calibration process, if the difference of the said quality evaluation value for a discrimination | determination and the quality evaluation value for a comparison is less than a setting amount. Item 1. An agricultural product quality evaluation apparatus according to item 1.   The control means stores the measured spectral spectrum data obtained by the light receiving means by projecting light onto the specific object to be measured as the spectral data for calibration to be used in the calibration process. The agricultural product quality evaluation apparatus according to claim 1 or 2, which is configured as described above. A light projecting means for projecting light onto the object to be measured;
A light receiving means for spectrally dividing the light transmitted through or reflected by the measurement object and measuring the dispersed light to obtain spectral spectrum data;
A quality evaluation process for obtaining a quality evaluation value for the measurement object based on the measured spectral data and the reference spectral data obtained by the light receiving means by projecting light onto the measurement object by the light projecting means; And a control means for executing calibration processing for projecting light onto a calibration reference body by the light projecting means and setting the reference spectral spectrum data based on the spectral spectrum data obtained by the light receiving means. A quality evaluation device for agricultural products,
The control means as the calibration process,
In an unset state where the reference spectral data is not set,
The light is projected onto the calibration reference body by the light projecting means to set the spectral spectrum data obtained by the light receiving means as the reference spectral data, and
In the set state where the reference spectral data is set,
The light projecting means projects light onto the calibration reference body, the light receiving means obtains spectral data for discrimination, and the measured spectral data and the standard spectral data obtained for a plurality of objects to be measured. The spectral data for discrimination and the measured spectral data obtained for the plurality of measured objects with respect to the representative value for comparison obtained from the quality evaluation values for the plurality of measured objects determined based on It is determined whether or not the representative value for determination obtained from the quality evaluation values for the plurality of measured objects obtained based on the above is an appropriate relationship, and if it is an appropriate relationship, the spectral data for the determination is determined. A quality evaluation apparatus for agricultural products configured to be updated as the reference spectral data.   The said control means is comprised so that it may discriminate | determine that it is the said appropriate relationship if the difference of the said comparison representative value and the said representative value for discrimination | determination is less than a setting amount in the said calibration process. Agricultural product quality evaluation equipment.   The control means is configured to set reference spectral spectrum data that has already been set as the reference spectral data when the calibration process determines that the relationship is not appropriate. The quality evaluation apparatus for agricultural products according to any one of the above.   When the control unit determines that the relationship is not appropriate in the calibration process, the light projecting unit again projects light onto the calibration reference body and the light receiving unit determines spectral spectrum data. And determining whether or not the quality evaluation value for discrimination is in an appropriate relationship with respect to the quality evaluation value for comparison, and if the relationship is appropriate, the spectral spectrum data for determination is converted to the reference spectral spectrum. The quality evaluation apparatus for agricultural products according to any one of claims 1 to 5, which is configured to be updated as spectrum data.

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