
This report details a
study conducted by Agrifood Technology to compare the Cropscan 2000B with the
Infratec 1241 and reference analysis conducted according to AWB standard approved
methods.
The
Cropscan 2000B Grain Analyser (Plate 1) is a Near Infrared Transmission (NIT)
Instrument. It is capable of simultaneous determination of several constituents
in whole grain samples.
Measurement
is based on the fact that grain constituents, such as protein and moisture,
absorb electromagnetic radiation in the near infrared region of the light
spectrum.
(Plate 1)
NIT analysis is an indirect, predictive method of analysis and therefore
must be calibrated, monitored and updated on a regular basis. It is essential
to have robust calibrations that include samples from an appropriate range of
constituent levels as well as from differing environmental conditions and
seasons.
NIR Technology Australia has developed calibrations for Wheat (Hard
Wheat) and has requested Agrifood Technology to evaluate the Cropscan 2000B
performance and operation against the Infratec 1241 and AWB approved reference
methods for protein and moisture.
The following report details the methodology, results and evaluation for the NIR Technology Cropscan 2000B.
Results
Results from the Infratec 1241, Agrifood Reference methods and Cropscan
2000B were statistically analysed using Regression, Hypothesis and One Way
ANOVA.
(Hypothesis and One Way ANOVA analysis - Attachment 1).
Table 1:
|
No. Samples Tested (n) |
Average Difference |
Range (Infratec) |
Standard Deviation of Differences (SDD) |
Correlation R2 |
|
50 |
-0.125 |
9.3 to
16.7% |
0.304 |
0.9704 |

(Plate 7)
Table 2:
|
No. Samples Tested |
Average Difference |
Range (By Infratec) |
Standard Deviation of Differences (SDD) |
Correlation R2 |
|
50 |
0.111 |
8.2 to
12.3% |
0.248 |
0.9807 |

Wheat Moisture Results – Oven Reference Method as compared to Cropscan 2000B Hard Wheat Calibration (Table 4, Plate10).
Table 4 :
|
No. Samples Tested |
Average Difference |
Range (Reference) |
Standard Deviation of Differences (SDD) |
Correlation R2 |
|
50 |
-0.129 |
8.0 to
12.1% |
0.380/0.189* |
0.8613 |
Repeatability
Individual
trial samples were analysed in duplicate by each test method and standard deviation
between duplicates calculated (Table 5).
Table
5:
|
Instrument/ Method |
No. of Samples |
Repeatability (SDD between Duplicates) |
|
Infratec Protein |
50 |
0.02 |
|
Cropscan Protein |
50 |
0.04 |
|
Infratec Moisture |
50 |
0.00 |
|
Cropscan Moisture |
50 |
0.00 |
Reproducibility
A sub set of ten samples was chosen from the original 50 samples (based
on region, grade and protein content) as a means of determining the
reproducibility of the Cropscan 2000B.
Analysis was
performed by an untrained operator, instructed in the sample preparation
procedure and directed to conduct duplicate analysis at the same time of day on
three consecutive days.
Results
were recorded and standard deviation of differences between the duplicate
analyses on the different days calculated (Table 6).
Table
6:
|
Instrument/ Method |
No.of Samples |
Reproducibility (SDD between Duplicates) |
|
Cropscan Protein Day 1 |
10 |
0.00 |
|
Cropscan Moisture Day 1 |
10 |
-0.03 |
|
Cropscan Protein Day 2 |
10 |
-0.02 |
|
Cropscan Moisture Day 2 |
10 |
0.03 |
|
Cropscan Protein Day 3 |
10 |
0.02 |
|
Cropscan Moisture Day 3 |
10 |
0.00 |
Average
SDD between duplicates for total three days for Protein = 0.00
Average SDD
between duplicates for total three days for Moisture = 0.00
Conclusions
After
initial bias and skew adjustment to Australian Grain Industry Collaborative
Trial samples, the Cropscan 2000B Hard Wheat calibration showed significant
correlation with the Infratec 1241 Global Wheat Application Model for both
Protein (0.9704) and Moisture (0.9807) results.
The
Cropscan 2000B showed good repeatability and reproducibility, even after
limited operator training (Table 5 & 6).
When
compared to the reference method for protein and moisture, both the Cropscan
and the Infratec had some difficulty predicting the 02/03 pure variety samples.
These samples were specifically chosen for their high protein, low moisture
content and may be unique to the previous drought year. (The scans for these
samples have been provided to NIR Technology to include in their calibration).
(Plate 11 & 12 for comparison)