Mwape, Mwewa ChikonkoloKulig, BorisNurkhoeriyati, TinaRoman, FranzParmar, AdityaEmmambux, Mohammad NaushadHensel, Oliver2025-03-272025-03-272025-04Mwape, M.C., Kulig, B., Nurkhoeriyati, T. et al. 2025, 'Modeling and optimization of energy efficiency and product quality in staple food roasting using machine learning: a case study on cassava processing', Thermal Science and Engineering Progress, vol. 60, art. 103258, pp. 1-20, doi : 10.1016/j.tsep.2025.103258.2451-9049 (online)10.1016/j.tsep.2025.103258http://hdl.handle.net/2263/101762DATA AVAILABILITY: The authors affirm that the data supporting the study's conclusions are available within the article [and/or] in supplementary materials.Please read abstract in the article.en© 2025 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).Roasting prediction modelsMachine learning modelingEnergy efficiencyData-driven designPost-harvestI-optimal designsSDG-07: Affordable and clean energySDG-09: Industry, innovation and infrastructureSDG-12: Responsible consumption and productionArticle