J. Nturambirwe

Recent Advancements on Vibrational Spectroscopic Techniques for the Detection of Authenticity and Adulteration in Horticultural Products with a Specific Focus on Oils, Juices and Powders

Lembe S. Magwaza, U. Opara, H. Nieuwoudt, 2020, Food and Bioprocess Technology.

Non-destructive measurement of internal fruit quality using SQUID-NMR techniques

J. Nturambirwe, 2012 .

Non-destructive measurement of internal quality of apple fruit by a contactless NIR spectrometer with genetic algorithm model optimization

U. Opara, W. Perold, H. Nieuwoudt, 2019, Scientific African.

Feature Reduction for the Classification of Bruise Damage to Apple Fruit Using a Contactless FT-NIR Spectroscopy with Machine Learning

Eslam A. Hussein, W. Perold, M. Vaccari, 2023, Foods.

Machine learning applications to non-destructive defect detection in horticultural products

Umezuruike Linus Opara, Jean Frederic Isingizwe Nturambirwe, J. Nturambirwe, 2020 .

Classification Learning of Latent Bruise Damage to Apples Using Shortwave Infrared Hyperspectral Imaging

Umezuruike Linus Opara, Jean Frederic Isingizwe Nturambirwe, Willem Jacobus Perold, 2021, Sensors.