JPH03109979A - Method for deciding classification of vegetables and fruits - Google Patents

Method for deciding classification of vegetables and fruits

Info

Publication number
JPH03109979A
JPH03109979A JP24779489A JP24779489A JPH03109979A JP H03109979 A JPH03109979 A JP H03109979A JP 24779489 A JP24779489 A JP 24779489A JP 24779489 A JP24779489 A JP 24779489A JP H03109979 A JPH03109979 A JP H03109979A
Authority
JP
Japan
Prior art keywords
items
item
vegetables
fruits
grade
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
JP24779489A
Other languages
Japanese (ja)
Inventor
Hiroshi Maeda
弘 前田
Motofumi Suzuki
基文 鈴木
Fujio Harada
富次雄 原田
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Maki Manufacturing Co Ltd
Original Assignee
Maki Manufacturing Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Maki Manufacturing Co Ltd filed Critical Maki Manufacturing Co Ltd
Priority to JP24779489A priority Critical patent/JPH03109979A/en
Publication of JPH03109979A publication Critical patent/JPH03109979A/en
Pending legal-status Critical Current

Links

Landscapes

  • Sorting Of Articles (AREA)

Abstract

PURPOSE:To fairly evaluate classes and to improve the reliability of quality by comparing measured values with the segment values of respective items, determining the stages corresponding to each of the respective items, and deciding the classes in accordance with the total sum of the scores of the respective items. CONSTITUTION:The segment values for segmenting the respective items to plural stages, item by item, concerning the plural measuring items, for example, the sizes, the differences in sizes, bends, S curves, etc., of long eggplants, for the purpose of deciding the classes of the vegetables and fruits 10 are set and the scores are previously set for each of the respective values. The vegetables and fruits 10 transported onto a screening conveyor 1 are subjected to image pickup by a light source 21 and a camera device 2 and the video signals are subjected to image processing by an arithmetic unit 5 which determines the measured values of the respective items, compares the values with the segment values of the items, determines the stages corresponding to each of the items, weights the stages by the degree of importance of the items, determines the total sum of the scores of the respective items and decides the classes. A discharge operating device 3 is selectively operated by the results of the decision to screen the vegetables and fruits onto a drawing out conveyor 4. The reliability of the quality is thus improved.

Description

【発明の詳細な説明】 〔産業上の利用分野〕 本発明は青果物の等級判定方法に係り、詳しくは青果物
の等級を判定するための複数の計測項目を計測した結果
に基づき等級を総合判定する際の等級判定方法に関する
[Detailed Description of the Invention] [Industrial Application Field] The present invention relates to a method for determining the grade of fruits and vegetables, and more specifically, a method for comprehensively determining the grade based on the results of measuring a plurality of measurement items for determining the grade of fruits and vegetables. Concerning the method of determining the grade.

〔従来の技術〕[Conventional technology]

青果物の形状寸法や外観表面状態は、各種センサーの発
達に伴い精密に計測することが可能になりつつある。そ
して、これらの計測技術を応用し青果物を選別仕分けす
るものとして例えば、特開昭60−153980号公報
、特開昭60−1.66073号公報等が公知である。
With the development of various sensors, it is becoming possible to precisely measure the shape, size, appearance, and surface condition of fruits and vegetables. For example, Japanese Unexamined Patent Publications No. 153980/1982 and No. 166073/1983 are known as methods for sorting and sorting fruits and vegetables by applying these measuring techniques.

しかしながらこの従来の技術における等級判定方法は、
等級を判定するだめの要素として例えば、長物野菜等の
場合、太さ、太さの差1曲がり、Sカーブ等の計測項目
を、各項目毎に計測検査して各項目毎にランク付けし、
これらランク付げされた項目の中から最下位のランク値
を読み出してその等級を総合判定結果とする方法が用い
られていた。
However, the grading method in this conventional technology is
For example, in the case of long vegetables, measurement items such as thickness, difference in thickness by 1 curve, S curve, etc. are measured and inspected for each item and ranked for each item.
A method has been used in which the lowest rank value is read out from among these ranked items and the grade is used as the overall judgment result.

〔発明が解決しようとする課題〕[Problem to be solved by the invention]

従来の等級判定方法は、複数の計測項目について夫々計
測検査して等級格付けした結果、最下位の等級をその青
果物の総合判定等級としているため、最下位に格付けさ
れた計測項目が一つの場合や、青果物の等級を決定する
にあまり重要でない項目の場合、実質的な等級の格差が
なく公正な評価が望まれていた。
In the conventional grading method, multiple measurement items are individually measured and graded, and the lowest grade is used as the overall grade for the fruits and vegetables. In the case of items that are not very important in determining the grade of fruits and vegetables, a fair evaluation without substantial grade differences was desired.

この発明が解決しようとする課題は、青果物の等級を判
定するにおいて、複数の計測項目の夫々を、複数段階に
区分すると共に点数を設定し、格付けされた段階の点数
の総和により等級を判定し、公正な評価を得ることであ
る。
The problem to be solved by this invention is that, in determining the grade of fruits and vegetables, each of a plurality of measurement items is classified into a plurality of stages and scores are set, and the grade is determined by the sum of the scores of the graded stages. , to obtain a fair evaluation.

〔課題を解決するだめの手段〕[Failure to solve the problem]

上記課題を解決するために、本発明の青果物の等級判定
方法は、青果物の等級を判定するための複数の計測項目
を計測し、計測結果から演算装置により等級を判定する
方法であって、前記複数の計測項目の各項目について、
複数の段階に区分するための区分値を設定すると共に、
この各項目の複数段階の夫々には点数を設定し、前記計
測して得られた各項目の計測値を、前記各項目の区分値
と比較して各項目毎に該当する段階を求め、各項目の点
数の総和に基づき等級を判定することを特徴とするもの
である。
In order to solve the above problems, the method for determining the grade of fruits and vegetables of the present invention is a method of measuring a plurality of measurement items for determining the grade of fruits and vegetables, and determining the grade using a calculation device from the measurement results, comprising: For each item of multiple measurement items,
In addition to setting classification values for classification into multiple stages,
A score is set for each of the multiple stages of each item, and the measured value of each item obtained by the measurement is compared with the category value of each item to find the corresponding stage for each item. This method is characterized by determining the grade based on the total score of the items.

前記点数設定は、計測項目の重要度(等級?=Jげする
に優先される内容)によって重み付けの点数を設定すれ
ば効果的である。
The above-mentioned score setting is effective if the weighted score is set depending on the importance of the measurement item (grade? = content given priority to J-level).

この計測項目の重要度とは、等級を判定するに際し、特
にその等級を左右させるもので、例えば傷害等の等級判
定要素が重要な計測項目に指定することができる。
The importance of a measurement item is something that particularly influences the grade when determining the grade, and for example, grade determination factors such as injuries can be designated as important measurement items.

〔作用〕[Effect]

本発明の青果物の等級判定方法によれば、青果物の等級
を判定するための複数の計測項目について、演算装置に
より各項目毎に複数の段階に区分するための区分値を設
定すると共に、この各項目の複数段階の夫々には点数を
設定しておき、青果物を計測して得られた各項目の計測
値を、前記設定された各項目の区分値と比較して各項目
毎に該当する段階を求め、この各段階毎に予め設定され
ている点数の総和に基づき等級を判定することができる
According to the method for determining the grade of fruits and vegetables of the present invention, for a plurality of measurement items for determining the grade of fruits and vegetables, a calculation device sets classification values for classifying each item into a plurality of stages. Scores are set for each of the multiple stages of the item, and the measured value of each item obtained by measuring fruits and vegetables is compared with the set category value of each item, and the stage corresponding to each item is determined. It is possible to determine the grade based on the sum of points set in advance for each stage.

〔実施例〕〔Example〕

以下、本発明の好ましい一実施例を図面に基づいて説明
する。
Hereinafter, a preferred embodiment of the present invention will be described based on the drawings.

第1図は本発明を実施するために構成された青果物選別
装置である。
FIG. 1 shows a fruit and vegetable sorting device constructed to carry out the present invention.

図において1は選別コンベアであり、青果物10を載せ
るためのへケソ)11が、走行回転するコンベアチェン
(図示せず)に多数取り付けられている。尚、第1図に
示す選別コンベア1は、本出願人が先に提案し公開され
た特開昭60−1.53980号公報に示される如きの
選別コンベア1を用いることができる。
In the figure, reference numeral 1 denotes a sorting conveyor, in which a large number of grooves 11 for placing fruits and vegetables 10 are attached to a conveyor chain (not shown) that travels and rotates. As the sorting conveyor 1 shown in FIG. 1, it is possible to use the sorting conveyor 1 as shown in Japanese Unexamined Patent Application Publication No. 1988-1.53980, which was proposed and published by the applicant of the present invention.

また、青果物10は、この実施例では長なす、きゅうり
等の長物野菜を用いる。
In this embodiment, the fruits and vegetables 10 are long vegetables such as eggplants and cucumbers.

2はカメラ装置であり、照明袋W21と絹み合わせて光
学式計測手段を構成している。3は前記カメラ装置2か
ら下流側所定位置に等級別1階級別に設けられ、仕分は
信号により作動してバケット11上の青果物10を仕分
は排出するための排出作動装置である。4は前記排出作
動装置3に対応して設けられ、選別コンベア1上から排
出された青果物10を受けて機外へ搬出するための引き
出しコンベアである。5は演算装置であり、前記カメラ
装置2により計測したときの信号を画像解析して各種演
算処理を行い、仕分は信号を前記排出作動装置3へ出力
するもので、CPU、画像解析部7点数設定部1等級判
定部、仕分は制御部、電源部等から構成されている。
2 is a camera device, which together with the illumination bag W21 constitutes an optical measuring means. Reference numeral 3 denotes a discharge operating device which is provided at a predetermined position on the downstream side from the camera device 2 for each grade, and is activated by a sorting signal to discharge the fruits and vegetables 10 from the bucket 11. Reference numeral 4 denotes a pull-out conveyor, which is provided in correspondence with the discharge actuating device 3 and receives fruits and vegetables 10 discharged from the sorting conveyor 1 and carries them out of the machine. Reference numeral 5 denotes a calculation device, which performs image analysis of signals measured by the camera device 2 and performs various calculation processes, and outputs signals to the discharge operation device 3 for sorting, and includes a CPU and an image analysis unit with 7 points. The setting section includes a first grade determining section, a sorting section, a control section, a power supply section, etc.

以上のよ・うに構成された青果物選別装置を用いて、演
算装置5が、青果物10の所定の計測項目から等級を総
合判定する方法について第2図を用いて詳述する。
A method in which the arithmetic unit 5 comprehensively determines the grade of the fruits and vegetables 10 from predetermined measurement items using the fruits and vegetables sorting device configured as described above will be described in detail with reference to FIG.

第2図は本発明を効果的に説明するために、演算装置5
内の項目別点数設定部と等級判定部とを抽出して概略の
ブロック図にしたものである。
In order to effectively explain the present invention, FIG.
This is a schematic block diagram of the item-specific point setting section and the grade determining section.

尚、この実施例では、等級判定要素としての計測項目を
長なすの太さ、太さの差1曲がり、Sカーブの四項口を
計測する如く設定して説明するが限定するものではなく
、例えばずんぐり度や変形度等の項目を加えて項目別点
数設定部を構成することもできる。
In this example, the measurement items as grade determination elements are set to measure the thickness of the length, the difference in thickness by 1 bend, and the four-term opening of the S curve, but this is not limited to the following. For example, an item-specific score setting section can be configured by adding items such as stockiness and deformity.

更に、この計測項目夫々の測定要領については、前記特
開昭60−153980号公報に示されている技術を用
いて各I!1・測項目の計測値を求めることができる。
Furthermore, regarding the measurement procedures for each of these measurement items, each I! 1. Measurement values of measurement items can be obtained.

第2図において、項目別点数設定部には、各項目(太さ
、太さの差1曲がり、Sカーブ)毎に計測した値から複
数の段階に区分するための区分値を各項目毎に設定する
と共に、この複数の段階には各段階毎に減点するだめの
点数を設定する。
In Figure 2, in the item-specific score setting section, classification values for classifying into multiple stages from the values measured for each item (thickness, thickness difference 1 curve, S curve) are set for each item. At the same time, the number of points to be deducted for each stage is set for the plurality of stages.

実施例では、点数の少ないものほど上位等級に設定され
る如(なした減点方式を用いたが、異なる方式として点
数の多いものほど上位等級に設定される如く得点方式に
より点数設定を行うこともできる。
In the example, a point deduction method was used, in which the lower the score, the higher the grade. However, as a different method, the points may be set using a scoring method, such that the higher the score, the higher the grade. can.

尚、これら区分値および減点数の設定は、演算装置5の
パネルにデジスイッチを配設(図示せず)し、このデジ
スイッチの入力により設定を変更可能に構成することが
好ましい。
It is preferable that a digital switch (not shown) is provided on the panel of the arithmetic device 5 to set these classification values and the number of demerit points so that the settings can be changed by inputting the digital switch.

また、この入力操作は、図示しないキーボードにより設
定入力し、入力された設定値はCRTデイスプレィによ
り表示することができる。
Further, in this input operation, settings are input using a keyboard (not shown), and the input setting values can be displayed on a CRT display.

等級判定部は、前記項目別点数設定部において、各項目
毎に段階を求めたときの各項目の点数を合計演算し、こ
の値を予め設定した点数の等線区分値と比較して該当す
る等級を判定する如く構成する。
The grade determination unit calculates the sum of the scores for each item when the grade is determined for each item in the item-based score setting unit, and compares this value with the preset equal-line division value of the score to determine the corresponding score. It is configured to judge the grade.

一方、複数の計測項目の中で、等級を判定するために特
に重要な項目(例えば、傷害等の重欠点項目)は、他の
項目より減点する点数を多く重み付けをして設定すれば
、重要な項目の点数が総合判定するための大きな要因と
なる如く作用し、等級判定結果の信頼性が向上する。
On the other hand, among multiple measurement items, items that are particularly important for determining grades (for example, items with serious defects such as injuries) can be weighted with more points deducted than other items. The scores of these items act as a major factor in the overall judgment, and the reliability of the grade judgment results is improved.

更に、第3図に示す如く、重み付げされた項目(例えば
、曲がり)の最下位の段階に設定される点数を格外等級
区分値以上または無限大(CCI)に設定すれば、計測
して最下位の段階に格付けされたものは、他の計測項目
の結果に関係なく最下位の等級へ格付けすることができ
る。
Furthermore, as shown in Fig. 3, if the score set for the lowest level of the weighted item (for example, bending) is set to be equal to or greater than the exceptional grade classification value or to infinity (CCI), the measurement becomes easier. Those ranked at the lowest level can be ranked at the lowest level regardless of the results of other measurement items.

第4図は第2実施例を説明するだめの青果物選別装置で
あり、搬送コンヘア1aで搬送される例えばみかんや柿
等の青果物10の外観表面状態を、カラーカメラ装置2
aにより計測検査するもので、例えば特開昭63−42
411号公報に示される装置が用いられる。
FIG. 4 shows a fruit and vegetable sorting device according to the second embodiment, in which the appearance and surface condition of fruits and vegetables 10, such as tangerines and persimmons, which are conveyed by a conveyor container 1a, are observed by a color camera device 2.
For example, Japanese Patent Laid-Open No. 63-42
The apparatus shown in Japanese Patent No. 411 is used.

第5図は第2実施例を説明するために演算装置5内の項
目別点数設定部と等級判定部とを概略のブロック図に示
したものであり、第2実施例の選別装置(第4図)によ
り青果物10の表面状態を計測した結果に基すき等級を
総合判定する如く用いる。
FIG. 5 is a block diagram schematically showing the item-based point setting section and the grade determining section in the arithmetic unit 5 in order to explain the second embodiment. The results of measuring the surface condition of the fruits and vegetables 10 according to the method shown in FIG.

(1)着色度 果物の場合、色は緑色から赤までの色情報を、例えば1
27階調に分解して1〜127の色値を設定し、カラー
カメラで撮像したときに色値毎の画素数ヒスI・ダラム
を作り、このヒストグラムの中心値を着色度とする。即
ち、撮像した面の色分布の平均値をいう。
(1) Coloration degree In the case of fruits, the color information is from green to red, for example 1
The color values of 1 to 127 are set by dividing into 27 gradations, and when the image is captured by a color camera, the number of pixels for each color value is created as the number of pixels HisI.Durham, and the center value of this histogram is taken as the degree of coloring. That is, it refers to the average value of the color distribution of the imaged surface.

(2)色均一性 前記ヒストグラムにおいて、中心値(着色度)から所定
範囲(色値)にある画素数と総画素数との比を求めて色
均一性とする。即ち、撮像した面の色分布の広がりをい
う。
(2) Color Uniformity In the histogram, the ratio of the number of pixels within a predetermined range (color value) from the center value (degree of coloring) to the total number of pixels is determined as color uniformity. In other words, it refers to the spread of color distribution on the imaged surface.

(3)緑成分量 前記ヒストグラムにおいて、所定の縁領域よりさらに縁
側にある画素数を求めて緑成分量とする。
(3) Amount of green component In the histogram, the number of pixels located further toward the edge than a predetermined edge area is determined and used as the amount of green component.

(4)傷害比率 傷として検出した傷害画素数の総和と総画素数との比率
を求めて傷害比率とする。
(4) Injury Ratio The ratio between the sum of the number of injury pixels detected as scratches and the total number of pixels is calculated and used as the injury ratio.

(5)最大傷害面積 傷害画素数の最大値を求めて最大傷害面積とする。(5) Maximum injury area Find the maximum number of injury pixels and use it as the maximum injury area.

(6)変形度 画像の形状から変形度を求める。(6) Degree of deformation Determine the degree of deformation from the shape of the image.

以上述べた各項目の計測方法については、公知の画像処
理技術を用いて計測することができる。
The measurement method for each item described above can be measured using a known image processing technique.

また、区分値及び減点数の設定は任意に設定して構成す
ることが好ましい。勿論、各項目の点数設定は、項目毎
の重要度によって各項目に重み付け0 すれば、重み付けされた項目が例えば傷害や変形度とし
た場合、この項目による点数が等級決定のための重要な
要因として作用する。
Further, it is preferable that the classification value and the number of demerit points be set arbitrarily. Of course, when setting the score for each item, if you weight each item according to its importance, if the weighted item is, for example, injury or deformity, the score for this item will be an important factor for determining the grade. Acts as.

以上述べてきた実施例は、青果物の形状寸法から等級を
総合的に判定する例や、または、青果物の形状及び色、
傷等の外観表面状態から総合的に等級を判定する例で説
明したものであるが、このことは限定するものではなく
、例えば、青果物の内部品質を検査する装置を前記カメ
ラ装W2の近くに組み合わせて構成し、熟度、糖度等の
内部品質の項目を複数の計測項目の中に加えて各項目の
点数総和により等級を総合判定することもできる。
The embodiments described above are examples of comprehensively determining the grade from the shape and size of fruits and vegetables, or the shape and color of fruits and vegetables,
Although the example has been explained in which the grade is determined comprehensively based on the appearance surface condition such as scratches, this is not limited to this, and for example, a device for inspecting the internal quality of fruits and vegetables may be placed near the camera installation W2. It is also possible to combine them, add internal quality items such as ripeness and sugar content to the plurality of measurement items, and comprehensively judge the grade based on the total score of each item.

この内部品質を検査する装置のひとつとして熟度検査は
、クロロフィル含量と成熟度とが高い相関があることを
応用した例えば、特公昭55−23375号公報の装置
を用いることができる。
As one of the devices for inspecting this internal quality, the ripeness test can be performed by using, for example, the device disclosed in Japanese Patent Publication No. 55-23375, which takes advantage of the fact that there is a high correlation between the chlorophyll content and the degree of ripeness.

一方、糖度検査はについては、果実に光を照射して得ら
れた反射光から果実の糖度等を測定する如くなした例え
ば特開昭64−28544号公報の装置を用いることが
できる。
On the other hand, for the sugar content test, for example, the apparatus disclosed in Japanese Patent Laid-Open No. 64-28544, which measures the sugar content of the fruit from the reflected light obtained by irradiating the fruit with light, can be used.

1 これらの内部品質検査装置により計測検査した結果は、
第6図及び第7図に示す点数設定表により点数付げする
ことができる。
1 The results of measurement and inspection using these internal quality inspection devices are as follows:
Scores can be assigned using the score setting tables shown in FIGS. 6 and 7.

第6図ばμ)度の項目について区分値と減点数を設定し
て点数付けする設定表であり、未熟(区分値30以上)
または過熟(区分値10以下)の段階に設定される減点
数を無限大(CO)に設定し、適y)(30〜10範囲
)を減点Oに設定したものである。
Figure 6 is a setting table that sets and scores classification values and demerit points for degree items.
Alternatively, the number of demerit points set at the stage of overripeness (category value 10 or less) is set to infinity (CO), and the demerit point number is set to O in the range of 30 to 10.

第7図は糖度の項目について区分値と減点数を設定した
ものであり、夫々の糖度区分により夫々減点数を設定し
、該当する糖度区分で点数付けする如くなす。
FIG. 7 shows the setting of the category value and the number of demerit points for the item of sugar content, and the number of deductible points is set for each sugar content category, and points are assigned in the corresponding sugar content category.

このようにして内部品質について点数付すされた結果は
、他の等級判定項目に加えて総合の等級を判定すること
ができる。
The results of internal quality scoring in this manner can be used to determine the overall grade in addition to other grade determination items.

上記の記述および添付する図面はいずれも実施の一例を
示すものであり、発明を制限するものではなく、例えば
、計測項目の内容や区分値及び減点数の設定は任意に設
定することができる。
The above description and the attached drawings both show an example of implementation, and do not limit the invention. For example, the contents of measurement items, classification values, and demerit points can be set arbitrarily.

〔発明の効果〕〔Effect of the invention〕

2 以上述べた如く、本発明の青果物の等級判定方法は、青
果物の等級を判定するための複数の計測項目名々につい
て、複数の段階に区分するための区分値を設定すると共
に、各段階の夫々には点数を設定し、青果物を計測した
結果を前記区分値と比較して各項目毎に該当する段階を
求め、この各項目の点数の総和により等級を判定する如
くなした等級判定方法であり、従来の如く各項目毎に等
綴付けされた中から最下位の等級を読み出して総合判定
等級とするのに対し、より公正に等級を評価することが
でき、生産者、消費者とも適正な成果が得られた。
2 As described above, the method for determining the grade of fruits and vegetables of the present invention sets classification values for classifying into a plurality of stages for a plurality of measurement items for determining the grade of fruits and vegetables, and also sets classification values for classifying into a plurality of stages. This is a grading method in which a score is set for each item, the results of measuring fruits and vegetables are compared with the above-mentioned classification values, the corresponding grade is determined for each item, and the grade is determined based on the sum of the scores for each item. Compared to the conventional method, where the lowest grade is read out from among the grades assigned to each item and used as an overall judgment grade, it is possible to evaluate the grade more fairly, and both producers and consumers can receive an appropriate evaluation. We obtained excellent results.

更に、計測項目の等級判定重要度によって点数で重み付
けすれば、等級判定された結果品質の信頼性が向上する
効果がある。
Furthermore, weighting the measurement items with scores depending on the importance of the grade determination has the effect of improving the reliability of the quality of the graded results.

【図面の簡単な説明】[Brief explanation of drawings]

第1図は本発明を実施するための選別装置の一例を示す
平面図、第2図、第3図は演算装置内の概略ブロック図
。第4図は第2実施例を説明するための選別装置の斜視
図、第5図は第2実施例を3 説明する演算装置内の概略ブロック図。第6図第7図は
その他の実施例を説明する点数設定表。 1・・・選別コンベア   10・・・青果物11・・
・ハケ。2ト 2・・・カメラ装置     21・・・照明装置3・
・・排出作動装置 4・・・引き出しコンヘア 5・・・演算装置 特開平 3 109979 (5)
FIG. 1 is a plan view showing an example of a sorting device for implementing the present invention, and FIGS. 2 and 3 are schematic block diagrams inside the arithmetic device. FIG. 4 is a perspective view of a sorting device for explaining the second embodiment, and FIG. 5 is a schematic block diagram inside the arithmetic unit for explaining the second embodiment. 6 and 7 are score setting tables for explaining other embodiments. 1... Sorting conveyor 10... Fruits and vegetables 11...
・Brush. 2...Camera device 21...Lighting device 3.
...Discharge actuating device 4...Drawer container hair 5...Arithmetic device JP-A-3 109979 (5)

Claims (2)

【特許請求の範囲】[Claims] (1)青果物の等級を判定するための複数の計測項目を
計測し、計測結果から演算装置により等級を判定する方
法であって、前記複数の計測項目の各項目について、複
数の段階に区分するための区分値を設定すると共に、こ
の各項目の複数段階の夫々には点数を設定し、前記計測
して得られた各項目の計測値を、前記各項目の区分値と
比較して各項目毎に該当する段階を求め、各項目の点数
の総和に基づき等級を判定する青果物の等級判定方法。
(1) A method for measuring a plurality of measurement items for determining the grade of fruits and vegetables, and determining the grade using a calculation device from the measurement results, the method comprising dividing each of the plurality of measurement items into a plurality of stages. At the same time, a score is set for each of the multiple stages of each item, and the measured value of each item obtained by the measurement is compared with the classification value of each item. A method of grading fruits and vegetables that determines the grade for each item and determines the grade based on the sum of the scores for each item.
(2)前記設定される点数が、計測項目の重要度によっ
て各項目毎に重み付けされる請求項1記載の青果物の等
級判定方法。
(2) The fruit and vegetable grading method according to claim 1, wherein the set score is weighted for each item depending on the importance of the measurement item.
JP24779489A 1989-09-22 1989-09-22 Method for deciding classification of vegetables and fruits Pending JPH03109979A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP24779489A JPH03109979A (en) 1989-09-22 1989-09-22 Method for deciding classification of vegetables and fruits

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP24779489A JPH03109979A (en) 1989-09-22 1989-09-22 Method for deciding classification of vegetables and fruits

Publications (1)

Publication Number Publication Date
JPH03109979A true JPH03109979A (en) 1991-05-09

Family

ID=17168750

Family Applications (1)

Application Number Title Priority Date Filing Date
JP24779489A Pending JPH03109979A (en) 1989-09-22 1989-09-22 Method for deciding classification of vegetables and fruits

Country Status (1)

Country Link
JP (1) JPH03109979A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002177893A (en) * 2001-12-10 2002-06-25 Maki Mfg Co Ltd Apparatus for forming classification division signal in fresh produce
JP2006240662A (en) * 2005-03-02 2006-09-14 Hitachi Chemical Industries Co Ltd Contained component amount displaying method for shipping out vegetable

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS5973087A (en) * 1982-09-30 1984-04-25 ペンウォルト・コーポレーション Method and device for treating fruit and similar good
JPH01127088A (en) * 1987-11-11 1989-05-19 Hiroshi Uda Method and apparatus for automatically grading and classifying vetgetables and fruits

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS5973087A (en) * 1982-09-30 1984-04-25 ペンウォルト・コーポレーション Method and device for treating fruit and similar good
JPH01127088A (en) * 1987-11-11 1989-05-19 Hiroshi Uda Method and apparatus for automatically grading and classifying vetgetables and fruits

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002177893A (en) * 2001-12-10 2002-06-25 Maki Mfg Co Ltd Apparatus for forming classification division signal in fresh produce
JP2006240662A (en) * 2005-03-02 2006-09-14 Hitachi Chemical Industries Co Ltd Contained component amount displaying method for shipping out vegetable

Similar Documents

Publication Publication Date Title
US5339963A (en) Method and apparatus for sorting objects by color
Makky et al. Development of an automatic grading machine for oil palm fresh fruits bunches (FFBs) based on machine vision
RU2613319C2 (en) Method for assessment and quality control of food products on dynamic production line
US5533628A (en) Method and apparatus for sorting objects by color including stable color transformation
EP0105452B1 (en) Apparatus for sorting items such as fruit and the like
US5335293A (en) Product inspection method and apparatus
US4281933A (en) Apparatus for sorting fruit according to color
JP3126474B2 (en) Method and apparatus for optically determining product acceptability
Zhang et al. Date maturity and quality evaluation using color distribution analysis and back projection
JPS5973089A (en) Electronic flaw scanner
KR840005359A (en) Method and apparatus for sorting fruit vegetables
Gunasekaran et al. Evaluating quality factors of corn and soybeans using a computer vision system
JPS5987081A (en) Inspection system of external appearance and quality
US5223917A (en) Product discrimination system
US10596601B2 (en) Imaging system for sorting poultry meat with wooden breast myopathy
JPS625674B2 (en)
Shahin et al. Lentil type identification using machine vision
García-Alegre et al. Eggshell defects detection based on color processing
JPH03109979A (en) Method for deciding classification of vegetables and fruits
US5018864A (en) Product discrimination system and method therefor
JPS63246639A (en) Method for judging degree of maturity of tomato or the like
Mendoza et al. Predicting ripening stages of bananas (Musa cavendish) by computer vision
JPH01312447A (en) Method for judging quality of rice grain
Dumanay et al. A New Design of Olive Fruit Sorting Machine Using Color Image Processing
JPH01127088A (en) Method and apparatus for automatically grading and classifying vetgetables and fruits