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Convolutional neural network allows amylose content prediction in yam (Dioscorea alata L.) flour using near infrared spectroscopy by Houngbo, M.E., Desfontaines, L., Diman, J.L., Arnau, G., Mestres, C., Davrieux, F., Rouan, L., Beurier, G., Marie-Magdeleine, C., Meghar, K., Alamu, E.O., Otegbayo, B., Cornet, D.

“…With the application of deep learning method, this study established the proof of concept that amylose content, a key driver of yam textural quality and acceptance, could be predicted accurately using NIRS as a high throughput phenotyping method. …”
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