Novel indicators of oat quality

Ulla Holopainen-Mantila; Iina Jokinen; Jussi Gillberg; Anna Liisa Välimaa; Emilia Nordlund

Novel indicators of oat quality

Ulla Holopainen-Mantila (Corresponding author), Iina Jokinen, Jussi Gillberg, Anna Liisa Välimaa, Emilia Nordlund

Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Scientific

Abstract

Oats is a versatile food ingredient, and its importance is increasing due to the need of shift to plant based diets. In order to facilitate oat-based trade and selection of oat raw materials for various food applications, we have developed machine learning -based quality indicators for oats enabling identification of suitable raw materials already from grains, groats or flours by utilising hyperspectral imaging. Prediction of oat material process behaviour boosts and generates savings in industrial oat supply chain.

Original language	English
Title of host publication	OAT2022 International Oat Conference
Subtitle of host publication	Program book
Publisher	Grain Industry Association of Western Australia (GIWA)
Pages	29-30
Publication status	Published - Oct 2022
MoE publication type	Not Eligible
Event	International Oat Conference, OAT 2022 - Perth, Australia Duration: 10 Oct 2022 → 13 Oct 2022

Conference

Conference	International Oat Conference, OAT 2022
Country/Territory	Australia
City	Perth
Period	10/10/22 → 13/10/22

Access to Document

https://www.internationaloat.com/wp-content/uploads/2022/10/OAT2022-Program-Book_online.pdf

Cite this

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title = "Novel indicators of oat quality",

abstract = "Oats is a versatile food ingredient, and its importance is increasing due to the need of shift to plant based diets. In order to facilitate oat-based trade and selection of oat raw materials for various food applications, we have developed machine learning -based quality indicators for oats enabling identification of suitable raw materials already from grains, groats or flours by utilising hyperspectral imaging. Prediction of oat material process behaviour boosts and generates savings in industrial oat supply chain.",

author = "Ulla Holopainen-Mantila and Iina Jokinen and Jussi Gillberg and V{\"a}limaa, {Anna Liisa} and Emilia Nordlund",

year = "2022",

month = oct,

language = "English",

pages = "29--30",

booktitle = "OAT2022 International Oat Conference",

publisher = "Grain Industry Association of Western Australia (GIWA)",

address = "Australia",

note = "International Oat Conference, OAT 2022 ; Conference date: 10-10-2022 Through 13-10-2022",

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Holopainen-Mantila, U , Jokinen, I, Gillberg, J, Välimaa, AL & Nordlund, E 2022, Novel indicators of oat quality. in OAT2022 International Oat Conference: Program book. Grain Industry Association of Western Australia (GIWA), pp. 29-30, International Oat Conference, OAT 2022, Perth, Australia, 10/10/22. <https://www.internationaloat.com/wp-content/uploads/2022/10/OAT2022-Program-Book_online.pdf>

TY - CHAP

T1 - Novel indicators of oat quality

AU - Holopainen-Mantila, Ulla

AU - Jokinen, Iina

AU - Gillberg, Jussi

AU - Välimaa, Anna Liisa

AU - Nordlund, Emilia

PY - 2022/10

Y1 - 2022/10

N2 - Oats is a versatile food ingredient, and its importance is increasing due to the need of shift to plant based diets. In order to facilitate oat-based trade and selection of oat raw materials for various food applications, we have developed machine learning -based quality indicators for oats enabling identification of suitable raw materials already from grains, groats or flours by utilising hyperspectral imaging. Prediction of oat material process behaviour boosts and generates savings in industrial oat supply chain.

AB - Oats is a versatile food ingredient, and its importance is increasing due to the need of shift to plant based diets. In order to facilitate oat-based trade and selection of oat raw materials for various food applications, we have developed machine learning -based quality indicators for oats enabling identification of suitable raw materials already from grains, groats or flours by utilising hyperspectral imaging. Prediction of oat material process behaviour boosts and generates savings in industrial oat supply chain.

M3 - Conference abstract in proceedings

SP - 29

EP - 30

BT - OAT2022 International Oat Conference

PB - Grain Industry Association of Western Australia (GIWA)

T2 - International Oat Conference, OAT 2022

Y2 - 10 October 2022 through 13 October 2022

ER -

Novel indicators of oat quality

Abstract

Conference

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