Evaluating the dry matter content of raw yams using hyperspectral imaging spectroscopy and machine learning

Author:

Adesokan Michael,Otegbayo Bolanle,Alamu Emmanuel Oladeji,Olutoyin Michael Afolabi,Maziya-Dixon Busie

Funder

International Institute of Tropical Agriculture

Bill & Melinda Gates Foundation

Publisher

Elsevier BV

Reference35 articles.

1. Adesokan M., Alamu E. and Maziya-Dixon B., SOP for Determination of Dry Matter Content. RTBfoods Project Report, Ibadan, Nigeria, p. 7 (2020) 〈https://mel.cgiar.org/reporting/download/report_file_id/17813〉. (Accessed on February 16, 2024).

2. A review of the use of Near-Infrared Hyperspectral Imaging (NIR-HSI) techniques for the non-destructive quality assessment of root and tuber crops;Adesokan;Appl. Sci.,2023

3. Adinsi, L., Honfozo, F.L., & Akissoé, N. (2021). Sample preparation and cooking time for texture analysis of boiled yam. Biophysical characterization of quality traits, 〈https://mel.cgiar.org/reporting/download/report_file_id/25510〉 (Accessed on February 16 2024).

4. Near-infrared spectroscopy applications for high-throughput phenotyping for cassava and yam: a review;Alamu;Int. J. Food Sci. Technol.,2021

5. Physiological, anatomical and quality indexes of root tuber formation and development in chayote (Sechium edule;Cheng;BMC Plant Biol.,2023

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