Starch granule size and shape characterization of yam (Dioscorea alata L) flour using automated image analysis.

Mahugnon Ezékiel HoungboLucienne DesfontainesJean-Luc IrepKonan Evrard Brice DibiMaritza CouchyBolanle Omolara Otegbayo Denis Cornet

Published in: Journal of the science of food and agriculture (2023)

The results obtained in this study show that the proposed open-source pipeline offer an accurate, robust and discriminating solution for medium throughput phenotyping of yam starch granule size distribution and shape classification. This article is protected by copyright. All rights reserved.

Keyphrases

deep learning
machine learning
high throughput
high resolution