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Achini Herath

Swinburne University of Technology

Cnr Wakefield and William Streets, Hawthorn Victor

3122 Victoria, 3122

Australia

  • Swinburne University of Technology

SCHOLARLY PAPERS

2

DOWNLOADS

135

TOTAL CITATIONS

1

Scholarly Papers (2)

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1.

Non-Destructive Prediction of Polyphenolic Content in Wholegrain Pigmented Rice Using Surface Infrared Spectroscopy and Multivariate Machine Learning Models

Number of pages: 17 Posted: 07 May 2024
Rhowell Tiozon Jr., Reuben James Q. Buenafe, Achini Herath, Nese Sreenivasulu and Vito Butardo
International Rice Research Institute (IRRI), International Rice Research Institute (IRRI), Swinburne University of Technology, International Rice Research Institute (IRRI) and Swinburne University of Technology
Downloads 89 (771,553)
Citation 1

Abstract:

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Attenuated Total Reflectance Fourier Transform Infrared (ATR-FTIR) Spectroscopy, machine learning, Chemometrics, Phenolic Compounds, Flavonoids, Anthocyanins, Pigmented Rice, Non-Destructive Sampling, Surface Chemistry, multivariate classification

2.

Machine Learning Approach for High-Throughput Phenolic Antioxidant Screening in Black Rice Germplasm Collection Based on Surface FTIR

Number of pages: 24 Posted: 20 Mar 2024 Last Revised: 02 Sep 2024
Achini Herath, Rhowell Tiozon Jr., Tobias Kretzschmar, Peter J. Mahon, Nese Sreenivasulu and Vito Butardo
Swinburne University of Technology, International Rice Research Institute (IRRI), Southern Cross University, Swinburne University of Technology, International Rice Research Institute (IRRI) and Swinburne University of Technology
Downloads 46 (1,121,190)

Abstract:

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anthocyanins, chemometrics, classification models, pigmented rice, flavonoids, machine learning, multivariate analysis