Increasing the information content of the annual Finnish Grain Survey using a handheld NIR instrument.
Slob, Stefan (2017)
Metropolia Ammattikorkeakoulu
2017
All rights reserved
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2017060212083
https://urn.fi/URN:NBN:fi:amk-2017060212083
Tiivistelmä
Every year a balance is made of Finland’s grain production by Evira (the Finnish Food Safety Authority), to determine the quality and availability of grain for use of food, feed, and other uses. Currently this requires a yearly selection of approximately 1500 farms to send a sample of their harvest to Evira’s laboratory for analysis using the Kjeldahl method for nitrogen determination and near infrared spectroscopy.
GrainSense Oy, an agritech start-up from Oulu, has developed a handheld near infrared spectroscopy device which they intend to introduce to the Finnish market. This device will help empower farmers but will also provide a vast amount of data for Evira once implemented.
In this thesis, ~500 samples of 2015’s grain analyses were measured by a prototype of the device developed by GrainSense Oy to determine if the device can provide adequate results. These measurements were then compared to the data Evira obtained using the Kjeldahl method. This thesis only aimed to prove that the device can measure protein values accurately due to the quality of the samples, which were measured about half a year after Evira did their measurements on them. The results show a promising correlation between the GrainSense device and Evira’s measurements.
GrainSense Oy, an agritech start-up from Oulu, has developed a handheld near infrared spectroscopy device which they intend to introduce to the Finnish market. This device will help empower farmers but will also provide a vast amount of data for Evira once implemented.
In this thesis, ~500 samples of 2015’s grain analyses were measured by a prototype of the device developed by GrainSense Oy to determine if the device can provide adequate results. These measurements were then compared to the data Evira obtained using the Kjeldahl method. This thesis only aimed to prove that the device can measure protein values accurately due to the quality of the samples, which were measured about half a year after Evira did their measurements on them. The results show a promising correlation between the GrainSense device and Evira’s measurements.