Jean Frederic Isingizwe Nturambirwe

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

Jean Frederic Isingizwe Nturambirwe, Umezuruike Linus Opara · Biosystems Engineering · 2019 · 164 citations

Fault Diagnosis, Engineering, Machine Learning +10

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

Ebrahiema Arendse, H.H. Nieuwoudt, Lembe Samukelo Magwaza et al. · Food and Bioprocess Technology · 2020 · 62 citations

Food Chemistry, Spectroscopic Method, Food Authentication +9

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

Jean Frederic Isingizwe Nturambirwe, H.H. Nieuwoudt, W.J. Perold et al. · Scientific African · 2019 · 43 citations · Full text

Engineering, Measurement, Food Analysis +21

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

Jean Frederic Isingizwe Nturambirwe, W.J. Perold, Umezuruike Linus Opara · Sensors · 2021 · 32 citations · Full text

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

Jean Frederic Isingizwe Nturambirwe, Eslam A. Hussein, M. Vaccari et al. · Foods · 2023 · 28 citations · Full text

Engineering, Machine Learning, Ripening +19