Digital twins for selecting the optimal ventilated strawberry packaging based on the unique hygrothermal conditions of a shipment from farm to retailer

Author:

Shrivastava ChandrimaORCID,Schudel Seraina,Shoji Kanaha,Onwude Daniel,da Silva Fátima Pereira,Turan Deniz,Paillart Maxence,Defraeye Thijs

Publisher

Elsevier BV

Subject

Horticulture,Agronomy and Crop Science,Food Science

Reference157 articles.

1. Abd-Elkader, D.Y., Salem, M.Z.M., Komeil, D.A., Al-Huqail, A.A., Ali, H.M., Salah, A.H., Akrami, M., Hassan, H.S., 2021. Post-harvest enhancing and Botrytis cinerea control of strawberry fruits using low cost and eco-friendly natural oils. Agronomy 2021, Vol. 11, Page 1246 11, 1246. https://doi.org/10.3390/AGRONOMY11061246.

2. Integrating machine learning and multiscale modeling — perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences;Alber;npj Digit. Med.,2019

3. Quality of ‘San Andreas’ strawberries and control of gray mold with essential melaleuca oil;Alves;J. Food Process Preserv.,2021

4. Ambaw, A., Fadiji, T., Opara, U.L., 2021. Thermo-mechanical analysis in the fresh fruit cold chain: A review on recent advances. Foods 2021, Vol. 10, Page 1357 10, 1357. https://doi.org/10.3390/FOODS10061357.

5. ASHRAE, 2010. Thermal properties of foods, in: 2010 ASHRAE Handbook: Refrigeration. Atlanta: ASHRAE, pp. 19.1–19.31.

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