Subido por Jose Luis Pina Ruiz

Guide S21 R472 ING AGROMAY

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TKD Tecnologia
rice statistical analyzer
S21 Classifier - Guide
Presentation
The following instructions have the goal of addressing the functionality of the S21 classifier
software, aspects of calibration and system maintenance.
Firstly, the user will know the capabilities of the system through access to seven pre-scanned
samples and the application of some available filters.
The user may also, in addition to creating new filters, change the parameters of the existing
filters and understand the logic of function of them through the results that will be presented
from the 7 pre-scanned samples. All the percentages and numerical results has its visual
correspondent on the screen.
Starting the Software "S21 Classifier"
01) To start, click on the icon "Classificador S21"
02) Insert the login (s21) and password (If you do not have a password, please request to our
support team)
s21
****
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03) Wellcome to S21 Classifier!!
04) On this screen the user must choose the sort settings available according to the class of rice
to be analyzed. To begin our explanation, choose "Long White" and click "Choose".
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05) This is the main screen of S21. The software was designed to be simple to operate. The
basic parsing operation boils down to: a) scanning the sample; b) processing images; c)
apply a filter classification; d) view the results report.
06) All scanned and processed sample is stored in the S21. To access it click "Processed
Samples".
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07) On this screen, enter the period you want to list the samples already processed.
ATTENTION!! To access the pre-scaned samples, you must report on the first field a date less
than or equal to 30/09/2013 for that the samples be listed. Then click "Load Samples". The
seven samples will be listed.
30/09/2013
08) The 7 pre-scanned samples will be listed. On this screen, the user should search and
choose the sample that want to open. Continue selecting the sample "Diversos - Long White
Thin - Harvest Rice". Then click "View".
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09) The chosen sample (Long White Thin - Harvest Rice) was opened. By default, when we open
a processed sample, the screen that shows the whole grain of the sample is displayed. At
this stage of the analysis, we have known the following results: integers, 3/4, 1/2 and 1/4
grain. Other results will come with the use of filters.
Sorting
10) To access other screens that show the grain 3/4, 1/2 and 1/4 of the sample click one of the
options of the "Image" menu.
Sorting
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Percentage of 3/4 in the sample "Diversos - Long White Thin - Harvest Rice" = 9:54%
Sorting
Percentage of 1/2 in the sample "Diversos - Long White Thin - Harvest Rice" = 3.09%
Sorting
Percentage of 1/4 in the sample "Diversos - Long White Thin - Harvest Rice" = 0.01%
Sorting
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11) To continue to explain the use and functioning of filters, turn back to the whole grain screen.
Click the item "Whole" of the "Image" menu.
Sorting
12) The filters in S21 are logical structures that apply to any processed sample to find the
indexes of industrial quality of the sample. The results are used to calibrate the industry,
keeping a standard of rice quality, from the arrival till the final product. In research centers,
the filters allow to evaluate the physical characteristics of rice. The S21 works with two
groups of filters: "Basic Filters" and "Advanced filters". To access them, a sample must be
open. We will begin by explaining Basic Filters, but before accessing them read the box on
the next page.
Sorting
Basic Filter
Advanced Filters
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Individual Characteristics of Grains
Before starting the use of filters, it is necessary to understand how the S21 processes the
samples.
After processing the images coming from the scan, the S21 individualizes the grains found in the
images with the following physical characteristics:
Length, Width, Chalk Area, Spotted Area, Total Whiteness and Vitreous Whiteness.
Click on a frame (grain) of the screen and see the individual characteristics of the selected grain.
The S21 analizes one grain at a time. When there are two or more grains in the same frame,
always consider the grain at the center. See the example below.
1
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Basic Filters
The Basic filters are simple logical structures and easy to use. Its filtering logic is simple and
gives the S21 user a quality profile of the sample that fits perfectly in the industrial classification
process of rice.
To continue the explanation, we will use the same sample as an example: "Diversos - Long White
Thin - Harvest Rice".
01) Click Basic Filter.
Sorting
02) This screen shows the list of basic
filters available. Has four basic filters
created, but you can create as many
filters as needed.
To apply or edit a filter, select an item
from the list. In this example, as we
have a sample of Long rice type,
choose the filter "Long White Rice".
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03) The box will expand showing the saved parameters in the filter. These parameters define
with what criteria (chalk, spoted, length and width) that rice will be analyzed. The box at the
bottom of the page has information about these parameters. Now we proceed with the
analysis. Click "Apply»
Filter «Long White Rice». How it Works?
This parameter of the Basic
Filter defines the index of
chalky grains in two levels:
Chalky (grains with chalk
area >= 70%) and
Partially Chalky (grains
with chalk area >= 50%
and < 70%). These
parameters are editable.
This parameter of the Basic
Filter defines the index of
the grains with Color
defects (will be considered
grains with color defects
those with spotted area
>= 10.5%). This
parameter is editable.
This parameter of the Basic Filter, defines (in this example) the index
of grains of Other Varieties that are not Long (will be considered
"other varieties", grains with width between 2.5 mm and 3 mm). This
parameter is also editable.
Obs.: The checkbox "Active" has the function to enable or not the
parameter of the filter.
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04) After apply the chosen filter, the S21 visually presents the results of the applied filter by
marking the grains with the colors of the indexes.
Sorting
From this stage of the analysis, the user can print the report with the results.
However, before printing the report, will be showed some important additional features of
the Basic Filter.
05) To improve visualization of the results, we can group the grains within their indexes. Click
item "Whole" of the "Damage" menu.
theSorting
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06) Now the grains screen is displayed with the grains grouped within its index. To see the
gruped grains click the indices shown on the top screen.
Sorting
Chalky 0,58 %
Sorting
Partial Chalky 3,81 %
Sorting
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Color Damage 0,54 %
Sorting
Other Varieties 0,00 %
Sorting
Sorting + Drag and Drop Grains
Another feature of the Basic Filter, very useful in the classification of the sample, is the Sorting
of grains according each of its features and the use of the mouse to move the grains with the
"Drag and Drop Grains" feature.
Through this feature you can merge two types of analysis: Numeric (only the application of the
filter) and Visual (sensory). The advantage of this hybrid process in relation to the conventional
analysis (manual) is the quickness with which the analysis is done by S21.
To show this feature we'll use as an example the "Partial Chalky" index that is in 3.81%. We will
manipulate the grains visually by using the feature "Sorting + Drag and Drop grains".
The partial chalk is a index with a high degree of subjectivity, it is impossible to visually
differentiate, for example, a grain with 50% of chalk area of another that has 48% or 53% of
chalk area. The human eye does not have this capability.
Therefore, starting from the beginning of this subjectivity, we can move some grains visually and
suit the results.
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See how to use the feature "Sorting + Drag and Drop Grains" in the S21:
01) Click the index "Partial Chalky" to see the grains found by the filter. The index is at 3.81%.
Remember that we are manipulating the sample "Long White Thin - Harvest Rice".
Sorting
02) Now click the index "Head Rice" to see the good grains. The index found by the filter is
82.43%
Sorting
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03) The goal now is to find within the "Head Rice", Partial Chalky grains. To quickly find them,
we will use the Sorting feature. Click the "Sorting" menu and then click the "Chalky" item.
With this command, we sorted the grains in the screen «Head Rice» from more chalk to less
chalk. Probably the first grain on the top screen will have a little less than 50% of chalk area
and decreasing in the sequence. These first grains were not considered "Partial Chalk" by
being with the chalk area just below the value set by the filter, in this case the limit was set
at 50%.
Sorting
With the sort feature from the S21, the search for grains with more chalky within the "Head
Rice" screen will be fast and simple.
Now the user can use the Drag and Drop Grains feature of the S21 to put the grains visually
deemed partial chalk into the index "Partial Chalky".
See how on the next page.
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01) Hold the "Ctrl" key and click with the mouse on the grains that you judge partial chalk,
selecting them.
Sorting
02) The S21 user can combine the "CTRL" key with the "SHIFT" key to select an entire
sequence of grain. Click the first grain of the sequence holding the "CTRL" key. Release the
"CTRL" key. Now click the last grain of sequence holding the "SHIFT" key.
Sorting
CTRL
SHIFT
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03) Click the right button of the mouse on a highlighted grain. Holding the button, drag and
drop the grains within the index "Partial Chalk".
Sorting
+
+
04) After dragging and dropping grains of "Head Rice" to "Partial Chalk" the index will be
increased.
Sorting
Comments About Sorting + Drag and Drop Grains Feature
With regard to Sorting + Drag and Drop
Grains feature, the user can apply them in
various situations, see some examples:
a) Dismember the "Color Defects" index in
indices with specific characteristics, eg:
Yellow, Spotted, Striped, etc.
b) Find whole grains without tips.
c) Discard to the trash the impurities that are
not part of the sample.
d) Find poorly polished grains.
e) Find red grains on brown rice.
f) Analyze index of peeled rice (peeled x
paddy).
If you have questions, please contact the
support team.
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Printing of Results
01) To view and print the results click "View Report".
Sorting
02) The report will be displayed. Atention! Is required an installed printer driver to open the
display. To print click "Print".
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03) The reports issued by the Basic Filters follow a standard format.
S21 Statistical report
User: Takeshi
Identification of the report: 201310021051
Classification setup: Long White
Date/Hour: 02/10/2013 10:51:25
Origin of Sample: Diversos
Sample identification: Long White Thin - Harvest Rice
Report setup: Long White Rice
Report setup description: Kernels with chalky area >= 70.00 % will be cons idered "Chalky". Grains with chalk area
between 50.00 e 70.00 are considered Partial Ch alk. Kernels with spotted area >= 10.50 % will
be considered "Color Damage". Kernels with width between 2.500 mm and 3.000 mm will be
considered "Other Varieties".
Whole average height: 5.752 mm
Whole average width: 2.071 mm
Kernels dropped to the trash: 1 Kernels
*** -
Quality Scores
Whole total: 87.37 %
62.48 gr
Processed rice: 100.00 %
71.52 gr
Head Rice
Color Damage
Chalky
Partial Chalk
Broken
82.43
0.54
0.58
3.81
12.63
%
%
%
%
%
58.95 gr
0.39 gr
0.42 gr
2.73 gr
9.04 gr
Total whiteness: 131.60
White vitreous: 122.21
Additional Information
Wholes
Three-quarters
Half
One-quarter
Total
Kernels
1888
435
338
4
2665
% Weight
87.37
9.54
3.09
0.01
% Other Varieties
0.00
0.08
0.00
0.00
0.08
% Color Damage
0.54
0.43
0.72
0.00
1.70
% Chalky
0.58
0.21
0.05
0.00
0.85
% Partial Chalk
3.81
0.75
0.22
0.00
4.78
% Chalky area
12.64
4.04
3.76
0.03
20.46
PPC: 178
The report of the Basic Filter is divided into three parts:
"Heading"
"Quality Indexes"
"Aditional Information".
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Standar Report of the Basic Filter
Header
The header section contains the data that identifies the analysis (A).
We have in the header the information about the average length and average width of the grains
considered whole and also the grains discarded for trash (B). The recycle bin feature will be
discussed later, has the function to clean up and discard particles and/or grains that are
unwanted in the scanned sample.
S21 Statistical report
A
B
User: Takeshi
Identification of the report: 201310021051
Classification setup: Long White
Date/Hour: 02/10/2013 10:51:25
Origin of Sample: Diversos
Sample identification: Long White Thin - Harvest Rice
Report setup: Long White Rice
Report setup description: Kernels with chalky area >= 70.00 % will be cons idered "Chalky". Grains with chalk area
between 50.00 e 70.00 are considered Partial Ch alk. Kernels with spotted area >= 10.50 % will
be considered "Color Damage". Kernels with width between 2.500 mm and 3.000 mm will be
considered "Other Varieties".
Whole average height: 5.752 mm
Whole average width: 2.071 mm
Kernels dropped to the trash: 1 Kernels
*** -
Quality Scores
The Quality Scores section contains qualitative data of the analysis: (A) Total of whole grains in
percentage and weight. The total sample weight (72.52 g) is a data informed by the user. Just
below we have qualitative data presented in two columns: (B) Percentage and (C) weight. Lastly
two indices of whiteness: (D) Total Whiteness and Vitreous Whiteness. See the next page the
comment about the whiteness in the S21.
A
Whole total: 87.37 %
62.48 gr
Processed rice: 100.00 %
71.52 gr
Head Rice
Color Damage
Chalky
Partial Chalk
Broken
D
Quality Scores
B
82.43
0.54
0.58
3.81
12.63
%
%
%
%
%
C
58.95
0.39
0.42
2.73
9.04
gr
gr
gr
gr
gr
Total whiteness: 131.60
White vitreous: 122.21
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Aditional Information
The "Additional Information" section contains qualitative data of the sample separated by the
columns: Whole, 3/4, 1/2 and 1/4. The last line of the session gives us a new qualitative
data, that is only possible to measure by analysis of digital image: Chalk area (A) of the
sample. The smaller the chalk area more vitreous is the sample.
Additional Information
A
Wholes
Three-quarters
Half
One-quarter
Total
Kernels
1888
435
338
4
2665
% Weight
87.37
9.54
3.09
0.01
% Other Varieties
0.00
0.08
0.00
0.00
0.08
% Color Damage
0.54
0.43
0.72
0.00
1.70
% Chalky
0.58
0.21
0.05
0.00
0.85
% Partial Chalk
3.81
0.75
0.22
0.00
4.78
% Chalky area
12.64
4.04
3.76
0.03
20.46
PPC: 178
About Total Whiteness and Vitreous Whiteness in the S21
Regarding the measurement of whiteness in
the S21, has two indices: Total Whiteness and
Vitreous Whiteness. The S21 has its own
scale of whiteness with range 0-200.
The Total Whiteness is measured from the
total mass of the sample.
The Vitreous Whiteness is measured from the
total mass of the sample discarding the part
considered chalk.
We use the Vitreous Whiteness as a polishing
reference, because it has less influence of the
amount of chalk present in the sample.
To get an idea, whiteness 40 in Kett scale
corresponds to 130 in the S21 scale.
In most varieties of white rice, the Vitreous
Whiteness should be between 120 and 127
after polishing.
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Advanced Filters
The Advanced Filters are more complex logic structures that enable to elaborate various types of
analyzes. To create and/or edit the advanced filters is necessary that the user has knowledge of
programming logic.
This guide does not address issues concerning elaborating and editing of advanced filters. The
default software comes with some examples of advanced filters for that the user to know the
potential of this group of filters.
To access the list of Advanced Filters, you have to open some Processed Sample.
01) Click Processed Samples.
02) Enter the period that you want to list the samples already processed. Attention!! To list the
pre-scanned samples, you must report in the first field the date 30/09/2013 for that the
samples be listed. Then click "Load Samples".
30/09/2013
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03) The seven samples will be listed. On this screen the user can search and list the samples
that he want to open. To continue training, choose the sample "Diversos - Basmati Rice
from Brazil" and then click "View".
04) With the Basmati rice sample openned, access the list of Advanced Filters. Click the item
"Aplly Filter" of the "Advanced Filters" menu.
Sorting
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05) The S21 has 8 advanced filters saved. The
filters of the class "Histogram" were created
to attend the research centers that need the
analysis of the sample with a frequency
diagram, grouped by each of the
characteristics of the grains: Chalk, Length,
Total Whiteness, Vitreous Whiteness, Dark
Spotted and Spotted.
The last filter of the list, "White Long Thin Brazilian Quality Normative", was created to
assist in the supervision of the long thin rice
type in Brazil, according to Brazilian
normatives of quality.
In this example, we will apply the filter
"Histogram - Length White" in the Basmati
rice sample to know in detail the length ranges
of the grains of the sample.
04) Click the "Histogram - Lenght White".
The tab with the logic tree of the filter will open, but do not bother to understand it, at this
point we just want to apply the filter in the sample of the Basmati rice. Click "Apply»
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05) After applying the chosen filter we will have the tree of the filter with the values found in
each branch of the tree. To see the result of the analysis, click "View Report".
06) To print the
report. Click
"Print".
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S21 Statistical report
User: Takeshi
Identification of the report: 201310021621
Classification setup: Basmati White
Date/Hour: 02/10/2013 16:21:15
Origin of Sample: Diversos
Sample identification: Basmati Rice from Brazil
Report setup: Histogram - Lenght White
Whole average height: 6.959 mm
Whole average width: 1.685 mm
Kernels dropped to the trash: 2 Kernels
*** -
Quality Scores
Processed rice: 100.00 %
100.00 gr
<1.5
>=1.5 e < 1.75
>= 1.75 e < 2.0
>=2.0 e < 2.25
>= 2.25 e < 2.5
>= 2.5 e < 2.75
>= 2.75 e < 3.0
>= 3.0 e < 3.25
>= 3.25 e < 3.5
>= 3.5 e < 3.75
>= 3.75 e < 4.0
>= 4.0 e < 4.25
>= 4.25 e < 4.5
>=4.5 e < 4.75
>= 4.75 e < 5.0
>= 5.0 e < 5.25
>= 5.25 e < 5.5
>= 5.5 e < 5.75
>= 5.75 e < 6.0
>= 6.0 e < 6.25
>= 6.25 e < 6.5
>= 6.5 e < 6.75
>= 6.75 e < 7.0
>= 7.0 e < 7.25
>= 7.25 e < 7.5
>= 7.5 e < 7.75
>= 7.75 e < 8.0
>= 8.0 e < 8.25
>=8.25
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.03
0.03
0.03
0.00
0.03
0.00
0.12
0.08
0.38
1.07
1.59
4.87
9.05
14.26
16.96
19.01
15.79
8.55
5.41
2.11
0.62
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.03
0.03
0.03
0.00
0.03
0.00
0.12
0.08
0.38
1.07
1.59
4.87
9.05
14.26
16.96
19.01
15.79
8.55
5.41
2.11
0.62
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
Total whiteness: 138.98
White vitreous: 129.65
Additional Information
Total
Kernels
1820
% Chalky area
19.50
PPC: 179
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TKD Tecnologia
rice statistical analyzer
07) The "Quality Scores" section of the report shows how the grains are distributed by sample
length range.
Quality Scores
Processed rice: 100.00 %
100.00 gr
<1.5
>=1.5 e < 1.75
>= 1.75 e < 2.0
>=2.0 e < 2.25
>= 2.25 e < 2.5
>= 2.5 e < 2.75
>= 2.75 e < 3.0
>= 3.0 e < 3.25
>= 3.25 e < 3.5
>= 3.5 e < 3.75
>= 3.75 e < 4.0
>= 4.0 e < 4.25
>= 4.25 e < 4.5
>=4.5 e < 4.75
>= 4.75 e < 5.0
>= 5.0 e < 5.25
>= 5.25 e < 5.5
>= 5.5 e < 5.75
>= 5.75 e < 6.0
>= 6.0 e < 6.25
>= 6.25 e < 6.5
>= 6.5 e < 6.75
>= 6.75 e < 7.0
>= 7.0 e < 7.25
>= 7.25 e < 7.5
>= 7.5 e < 7.75
>= 7.75 e < 8.0
>= 8.0 e < 8.25
>=8.25
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.03
0.03
0.03
0.00
0.03
0.00
0.12
0.08
0.38
1.07
1.59
4.87
9.05
14.26
16.96
19.01
15.79
8.55
5.41
2.11
0.62
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.03
0.03
0.03
0.00
0.03
0.00
0.12
0.08
0.38
1.07
1.59
4.87
9.05
14.26
16.96
19.01
15.79
8.55
5.41
2.11
0.62
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
gr
Total whiteness: 138.98
White vitreous: 129.65
08) If you installed MS Office 2010 (32-bit) package you can export saved reports to Excel
spreadsheet. If you do not have the export module enabled, contact the support team. By
applying, for example, a column chart on the above results we get the following display:
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TKD Tecnologia
rice statistical analyzer
09) One of the features of the S21 is that every presented result has its visual correspondence, it
was already seen in the Basic Filters. It is possible to visualize the grains that are part of the
percentage index found. To view the grains in the Advanced Filters, you must click on the
branches of the tree.
In this example below, we apply in the Basmati rice sample the advanced filter "Histogram
- Length White" to know the percentage of grains per length range. If we want to visualize
the grains (1.07%) that are in the range 5.50mm to 5.75mm we should go to the branch of
the tree that corresponds to this result and click on the branch.
10) The grains will be showed
Sorting
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TKD Tecnologia
rice statistical analyzer
11) To return to the tree of results click the item "Filter Tree" of the "Advanced Filters" menu.
Sorting
Access to the S21 Reports
01) When we apply a filter in a processed sample, we have the option to save the report with
the results. To access saved reports click «View».
02) A new window will open. Through this
window the user can search and open all
the reports of saved results. There is no
saved report. Try saving a result to be
able to access it when you find it
necessary.
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TKD Tecnologia
rice statistical analyzer
Trash
The S21 has a feature called the Trash, which allows elimination of undesirable particles from the
sample already scanned. It is usually used to remove impurities. Importantly, the samples must
be clean before being scanned, samples with impurities or bran will impair the results.
01) To proceed with the demonstration of the "Trash" feature, list the pre-scanned samples and
choose the sample "Long White Thin - Only Whole".
1
2
4
3
02) Then, to access the "Trash", click on the item "Trash" of the "Image" menu.
Sorting
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TKD Tecnologia
rice statistical analyzer
Besides impurities, we can eliminate unwanted grains, as it will showed in this example.
Before proceeding with this example, it is important to note that in a sample, besides the broken
grains, there are two classes of whole grains:
a) Perfect Whole Grains - grains that after the hulling
and polishing remains perfect, with no broken parts.
Is also excluded from the perfect whole grain class
the smallest grains, poorly formed due to external
factors, such as lack of nutrients, moisture, light,
etc.
b) Whole Grains - are grains that are
larger or equal to 3/4 of its total.
Even if they are clipped will be
considered whole. In most
countries there are regulations
that define the measures of
integers, 3/4, 1/2 and 1/4 for
each class of grain (long,
medium, short). Later we will
discuss how these classes work in the S21.
As we already have seen earlier in the guide, the S21 show us the sample divided into 4 size
groups: whole, 3/4, 1/2 and 1/4.
The objective of this analysis is to know what is the average length of the Perfect Whole Grains
present in the sample 'Long White Thin - Only Whole'.
We should then eliminate from the sample by dragging to the trash, the whole grains that are not
perfect. For this we use the "Trash" feature combined with the "Sorting" feature.
In this sample, the screen of "Trash" shows the number of valid grains (1322) and grains in the
trash (0).
03) Click the item 'Height' of the 'Sorting' menu.
Sorting
The goal is to sort the beans in descending order by length.
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TKD Tecnologia
rice statistical analyzer
04) After sorting by length, scroll to the bottom of the screen. Note that there are broken and clipped
grains.
Sorting
Descending order
per length
What Can Be Dragged to "Trash".
Peels:
Bonded Grains in Heigth:
Use «Sorting» by «Height»:
Grains in shell:
Poorly polished Grains:
Bonded Grains in Width:
Use «Sorting» by «Width»:
Use «Sorting» by «Spoted»:
Note: The sorting is always in descending order.
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TKD Tecnologia
rice statistical analyzer
05) Mark the broken, clipped and poorly formed grains and with the right button of the mouse
pressed, drag and release to "Trash" .If have any questions how to mark the grains, see how to
proceed in page 14.
Sorting
+
+
06) The unwanted grains were to trash. Remain valid in the sample only the perfect whole grains.
Sorting
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TKD Tecnologia
rice statistical analyzer
07) Selecione o item «Apply filter» do Menu «Advanced filters».
Sorting
08) Selecione o item «Histogram - Lenght
White», em seguida clique em «Apply».
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TKD Tecnologia
rice statistical analyzer
08) Click «View Report»
Sorting
09) You can save the report.
10) The preview of the report will open. The result Average Length of Perfect Whole Grains is
in the header section of the report.
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TKD Tecnologia
rice statistical analyzer
How to scan a sample.
1) Prepare a sample of polished rice with 40 to 100 grams. Clean the impurities and excess bran.
2) Open the S21 Classifier Software.
3) Enter your password.
s21
****
4) Choose the type of rice to be
analyzed.
5) Make sure that the lamp is lit.
4) If the receiver of sample is in the open position, put it in the closed position.
To close, rotate the
receiver clockwise and
down.
To open, lift the
receiver and rotate it
counterclockwise
Opened
Closed
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TKD Tecnologia
rice statistical analyzer
5) Dump the sample into the sample
receiver. Do not forget to put the
plastic cup at the end of the ramp.
7) Click «Capture»
Closed
8) Enter the sample data.
a) Source of the sample.
The samples are grouped by source. The source list
is editable.
b) Sample Identification.
This field is used to enter the identification of the
sample.
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TKD Tecnologia
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c) Weight of the sample.
Enter "100" to get the percentage results or enter the
real weight of the sample so that the S21 also shows
the results on the reported weight.
9) Click «Confirm» to the S21 initiate capturing images.
10) Open the receiver.
To open, lift the
receiver and rotate it
counterclockwise
11) Turn on the
vibrator to the
rice starts down
the ramp.
Opened
12) When all the rice of the sample finish
dropping the ramp, click «Stop and
Process».
13) Turn off the
vibrator.
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TKD Tecnologia
rice statistical analyzer
14) At the end of processing, the screen of whole grains is showed to the user. The sample is
saved! Now just choose a filter to complete the analysis. See how to access the filters on
pages 10 (Basic Filters) and 23 (Advanced Filters).
Sorting
How to Access Processed Samples.
All samples processed are saved in the
database of the S21. To access them
click «Processed Samples».
To list them, inform the period and click
«Load Samples». To search in the list, use
the search field and click «Find». To open,
select the desired sample, then click «View».
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TKD Tecnologia
rice statistical analyzer
Calibration and Fine Tuning
The S21 is installed and delivered calibrated. The measurement is performed using reference
samples with known values.
There are two types of reference samples:
A) Sample with known values of whiteness and chalk area percentage.
B) Sample with known values of whole and Broken.
Fine Tuning of Whiteness and Chalk
First, lets give attention to the concept of adjustment of Whiteness and chalk.
The S21 comes with one reference sample Whiteness and chalk.
N o t e
In principle, any samples already analyzed by the S21 can be a reference sample
for calibration. When passing an old sample in the S21 it should present very
similar values. Therefore, it is necessary to keep 1 reference sample to keep the
S21 in the original calibration.
The S21 is scheduled to ask the Fine-tuning every 60 samples or every 2 days. When prompted
we proceed with Fine Tuning by a standard sample, with known values of whiteness and chalk
area percentage.
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TKD Tecnologia
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How to Run the Fine Tuning?
01) Clean the blue track and the white point attached on the left edge of the ramp.
02) Scan the Reference Sample.
03) Click «Fining Tuning»
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TKD Tecnologia
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04) Enter the values of the Total Whiteness Area and Total chalk area of the sample.
05) Click «Set»
06) The S21 will automatically adjust according to the reported values.
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TKD Tecnologia
rice statistical analyzer
Concepts of w hiteness and Chalk in S21
Reference Sample: is a sample with the known results of Total Whiteness and Total Chalk
Area. The standard sample has a prerequisite that it be a prepared Crystalline Rice and polished
with a soft cloth so that it is free of dust stuck in its surface. This way we guarantee greater
stability in its characteristics.
Fine Tuning: Is the operability of the
S21 that adjusts the reference of
reading Whiteness and Chalk. This
reference is measured with the
processing of the standard sample.
The program checks the result of
Total Whiteness and Total Chalk Area
obtained in processing of the sample
and compares it with the "real" value
informed of the Total Whiteness and
Total Chalk Area of the Reference
Sample, then proceeds adjusting the
reading reference of Whiteness and
Chalk for the result become closer
to the "Real", keeping the system
always calibrated.
Reading Reference of Whiteness
and chalk: Is the standard
calibration reference that the S21
needs for that the results of chalk
and color damage keep within a
single standard reading. The S21 has a own pattern that comes along with the factory standard
sample, delivered along with the S21.
Shelf Life of the Standard Sample: The stored reference sample has a shelf life of 60 days,
since stored properly, away from light, heat and humidity. After 60 days you can change their
characteristics that will result in the loss of the reference values of Total Whiteness and Chalk
Area.
You should always keep some reference samples stored with an expiration date updated.
Therefore, it is necessary to replace the old samples by new standard samples. (See the next
topic)
How to make new reference samples?
01) Reserve a portion of approximately 60g of prepared
crystalline rice with minimum of chalky grains and
white center. The sample must to be completely
free of impurities. Clean with a soft cloth until it is
polished.
60g of polished crystalline rice.
Cleaned with a cloth.
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TKD Tecnologia
rice statistical analyzer
02) Run the Fine Tuning with an old reference sample: by this way we are sure that the
system is calibrated.
03) Capture the new standard sample three times and write down the values of Total
Whiteness and Total chalk Area. Take the average of the values and round it up.
04) Store the new standard sample with the rounded values of Total Whiteness and Chalk
Area (write these values).
Adjusting PPC
Pixels Per Centimeter
The parameter that defines the measure of the grain is called PPC (pixels per centimeter) which
determines the relationship pixels per centimeter. This parameter can be changed (adjusted) by
the user.
The S21 gets the measure of length of the grain by the 2 pixels more distant from each
other (diagonal) and the width by the 2 pixels more distant from each other, perpendicular
to the length.
The PPC value is calibrated by analyzing one sample with kown values of length and width.
Each machine has its own value of "PPC". Once adjusted, it is no longer necessary
adjustment.
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TKD Tecnologia
rice statistical analyzer
Classification Setup.
By processing the images of the grains captured by the scanner, The
S21 software divides the grains of the sample in 4 groups of size:
Whole, 3/4, 1/2 and 1/4. The result presented after processing is
defined by the configuration we choose when the software starts.
The user can create as many configurations as necessary. These
settings are associated with the class of rice we want to analyze, for
example, long, medium and short. Each configuration, besides the
name, has three parameters to be informed:
1) Maximum height (mm): this value defines what is the maximum length to be considered as
a grain in the sample. Grains
(particles) that are above this
value will not be considered
in the analysis. For example,
if the varieties of the rice
class long thin does not
exceed 8.5mm in length, we
will use a value slightly
above: 8.7mm.
2) Maximum width (mm):
the same logic should be
used for the width. If the
varieties of the rice class
long thin, do not exceed
2.4mm in length, we use a
value slightly above, for example, 2.7mm. However, it is very common that in a sample of long
thin rice has a quantity of merge of varieties, for example, medium grains, which are larger,
measuring up till 3.0mm. It is possible, by filters, to look for the wider grains. In this case we must
increment the value of width of 2.7mm to 3.0mm.
3) Reference Measure (mm): This parameter defines how will be the results of whole, 3/4, 1/2
and 1/4. Generally each country has its own rules that defines the
measures to be adopted. In Brazil, for the rice class long thin, the grain
is considered "whole" the one that is greater than or equal to 4.5mm
long, which corresponds to a value of 3/4 of Reference Measure. See
the diagram on the next page.
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TKD Tecnologia
rice statistical analyzer
How the S21 Divides the Sample Into whole, 3/4, 1/2 and 1/4?
In this example with the
value of 6.0mm of Measure
Reference, we will have:
Will be considered whole
grains those who possess
length greater or equal to
4.5mm, that corresponds to
the value of 3/4 of 6.0mm.
Wholes Kernels
3/4
4.5 mm
Reference
Measure
6.0 mm
Will be considered 3/4 those
grains who possess length
greater or equal to 3.0mm
and less than 1.5mm long.
3/4 Kernels
1/2
3.0 mm
1/2 Kernels
1/4
1.5 mm
1/4 Kernels
Will be considered 1/2 those
grains who possess length
greater or equal to 1.5mm and less than 3.0mm long.
Will be considered 1/4 those grains who posses length less than 1.5mm long.
How to Adjust the PPC?
01) Prepare a reference sample with
approximately 50 grams, 90% whole
and 10% broken. The broken ones
should be large, coarse. Attention!
This sample should be checked
manually with a caliper.
02) Open the Classifier S21 software and choose the
configuration according to the class of rice from the
reference sample.
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TKD Tecnologia
rice statistical analyzer
03) Ensure that the value of
the Reference Measure of
the chosen configuration
is correct. When in doubt,
read the table of pages 46
and 47 about it. The value
must conform to the
criteria used in the
reference sample.
04) Scan the Reference
Sample and Process it.
05) After processing, see the percentage results of whole grains. This value should be close
to the real result, the difference should not exceed 2%. If the difference is greater, check
if the value of Reference Measure is correct, or contact our technical support.
Sorting
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TKD Tecnologia
rice statistical analyzer
06) In case it shows a greater difference than 0.5% with the actual value, we have to adjust
the PPC. Close the window of grains, and in the main window, click on «Fine Tuning»
Sorting
07) In the "Fine Tuning" window you
can find the value of the PPC in
the last field at right. If necessary
reduce the percentage result of
whole grains, increase the PPC in
2-3 points.To increase the
percentage of whole grains you
must decrease the value of PPC.
After changing click "Save PPC". Close the "Fine Tuning".
08) In the main window, click «Process» to reprocess the sample with the new value of PPC.
09) After processing, check out the new percentage result of whole grains. If more
adjustment is necessary in PPC, repeat steps 03-06 until it is calibrated.
Sorting
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TKD Tecnologia
rice statistical analyzer
Repeatability of Results
The biggest feature that attests the quality of the S21 system is its high index of
repeatability of results with very low statistical deviation. This means that if we use the
S21 to scan the same sample, several times, the results are practically the same.
Note in the following assays, the amount of grain varies within the same sample, but the results
hardly vary. This is due to the processing core of the S21 be statistical. The following assays
were performed on 5 samples (Sample 001, Sample 002, Sample 003, Sample 004, Sample
005) and analyzed 3 times (a, b, c).
Sample
Amostra 001
Amostra 001
Amostra 001
Amostra 002
Amostra 002
Amostra 002
Amostra 003
Amostra 003
Amostra 003
Amostra 004
Amostra 004
Amostra 004
Amostra 005
Amostra 005
Amostra 005
Sample
Amostra 001
Amostra 001
Amostra 001
Amostra 002
Amostra 002
Amostra 002
Amostra 003
Amostra 003
Amostra 003
Amostra 004
Amostra 004
Amostra 004
Amostra 005
Amostra 005
Amostra 005
a
b
c
a
b
c
a
b
c
a
b
c
a
b
c
a
b
c
a
b
c
a
b
c
a
b
c
a
b
c
I.N.12
I.N.12
I.N.12
I.N.12
I.N.12
I.N.12
I.N.12
I.N.12
I.N.12
I.N.12
I.N.12
I.N.12
I.N.12
I.N.12
I.N.12
-
Filter
V01 V01 V01 V01 V01 V01 V01 V01 V01 V01 V01 V01 V01 V01 V01 -
Date
Avg Lenght Avg W idth
11-ago-10
6,90
2,01
11-ago-10
6,90
2,01
11-ago-10
6,89
2,01
11-ago-10
6,56
2,02
11-ago-10
6,55
2,03
11-ago-10
6,58
2,02
11-ago-10
6,88
2,01
11-ago-10
6,87
2,00
11-ago-10
6,87
2,00
11-ago-10
6,85
2,01
11-ago-10
6,87
2,02
11-ago-10
6,85
2,01
11-ago-10
6,42
1,99
11-ago-10
6,36
2,00
11-ago-10
6,39
1,99
BB50
BB50
BB50
BB50
BB50
BB50
BB50
BB50
BB50
BB50
BB50
BB50
BB50
BB50
BB50
Whole
Head Rice
98,00
97,57
98,12
97,63
97,98
97,22
87,20
48,42
87,45
49,18
86,91
49,00
97,81
97,81
97,62
97,59
97,61
97,29
97,65
93,62
97,63
92,82
97,79
93,12
88,82
88,02
89,23
88,21
88,70
86,95
L/W
W hit S21 W hit Vitreous
Qt Kernerls
3,43
133,63
124,51
1971
3,43
133,45
124,36
1910
3,43
133,78
124,52
2071
3,24
150,99
119,82
2664
3,23
150,15
119,69
2643
3,25
150,08
119,66
2610
3,43
132,59
124,33
1915
3,44
132,69
124,53
1869
3,44
133,08
124,64
1953
3,41
133,82
124,22
1909
3,41
133,90
124,16
1674
3,40
134,02
124,12
1564
3,22
135,44
125,96
2140
3,18
135,12
125,69
2123
3,21
134,54
125,46
2128
Broken Color Damage Darkened Partial Chalky
1,95
0,05
0,00
0,34
1,84
0,00
0,00
0,49
1,99
0,07
0,00
0,61
11,11
0,85
0,00
35,81
11,13
0,93
0,02
34,71
11,30
0,81
0,00
34,61
1,85
0,04
0,00
0,20
2,08
0,04
0,00
0,16
2,14
0,00
0,00
0,22
2,24
1,92
0,00
0,98
2,25
2,10
0,13
1,05
2,19
2,04
0,14
1,25
11,18
0,04
0,00
0,72
10,77
0,00
0,00
0,90
11,30
0,00
0,00
1,39
Chalky
Stained Other Varieties
0,04
0,05
0,00
0,00
0,04
0,00
0,00
0,05
0,06
1,91
0,97
0,92
2,14
1,14
0,76
2,29
1,30
0,71
0,04
0,06
0,00
0,00
0,11
0,00
0,04
0,00
0,31
0,35
0,81
0,08
0,37
0,72
0,56
0,22
0,53
0,51
0,00
0,04
0,00
0,00
0,04
0,08
0,00
0,08
0,28
Repetibilidade de Resultados
Fonte: Pirahy Alimentos - Rua Cel. Tristão de Araújo Nóbrega, 1530 - São Borja - RS - Brazil - http://www.pratofino.com.br/
AGROMAY SOLUCIONES TECNICAS, S.L. C/. Los Yebenes, 71. 28047. Madrid. SPAIN
Tel: +34 91 5099900 Email: [email protected]
www.agromay.com
pg. 50
TKD Tecnologia
rice statistical analyzer
Frequently Asked Questions
What is the amount of rice
required that the S21 needs in
order to do analysis
Due to the process be statistical, the S21 requires approximately
1,200 grains (particles) or more, for results to stabilize with
minimal statistical deviation. In weight, the amount should be
between 30-100 grams depending on the size of the grains to be
analyzed.
How do I keep the S21
calibrated?
Passing a reference sample with known values, that is, a sample
already analyzed by the S21. The system adjusts itself from these
values. See page 41.
When passing an old sample, the S21 should shows practically
the same results.
The percentage results in the
S21 are not in weight?
Yes, the S21 calculates the percentage weight by a projection of
the grain volume x format x density conform the transparency of
the grain. This calculation is very accurate.
What is the durability of LED
lighting?
According to our supplier, the LED has a lifespan of 70.000 hours.
How much disk space is
occupied by one analysis?
Approximately 10-15 MB, including data and storing images of
each sample.
What is the average time that
the S21 uses to analyze one
sample?
To a sample of 70g, about 2 minutes. The analysis is done in four
steps: Scan the sample / Process images / Apply the filter / View
the report.
Can I combine, in the S21, the
numerical digital analysis with the
visual analysis?
Yes, through the feature: Sorting + Drag and Drop Grains. See in
the page 14.
What is the difference by the
digital image analysis
(numerical) of visual analysis
(sensory)?
The analise system by digital image was developed with the aim
to simulate the industrial classification process that sorts and
separates the rice by size, by area of chalk, by color damage and
whiteness. The industrial classification does not put people to sort
and separate the rice, the classification is done by equipment that
analyze the flow until the end, by a simple, quick and objective
way. The type of analysis done by the S21 is somewhat analogous
to industrial classification process. The best way to calibrate the
industry and determine the industrial yield of raw material that
enters the industry is by digital analysis (numerical).
Sensory analysis is more subjective, it has a greater variation of
results against digital numerical analysis, it is also more time
consuming. However, the sensory analysis can reach more
complex results often needed to evaluate the rice.
AGROMAY SOLUCIONES TECNICAS, S.L. C/. Los Yebenes, 71. 28047. Madrid. SPAIN
Tel: +34 91 5099900 Email: [email protected]
www.agromay.com
pg. 51
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