Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors

P. Wunderlich, D. Pauli, M. Neumaier, S. Wisser, H.-J. Danneel, V. Lohweg, H. Dörksen, Foods 12 (2023).

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Zeitschriftenaufsatz | Veröffentlicht | Englisch
Abstract
The waste of food presents a challenge for achieving a sustainable world. In Germany alone, over 10 million tonnes of food are discarded annually, with a worldwide total exceeding 1.3 billion tonnes. A significant contributor to this issue are consumers throwing away still edible food due to the expiration of its best-before date. Best-before dates currently include large safety margins, but more precise and cost effective prediction techniques are required. To address this challenge, research was conducted on low-cost sensors and machine learning techniques were developed to predict the spoilage of fresh pizza. The findings indicate that combining a gas sensor, such as volatile organic compounds or carbon dioxide, with a random forest or extreme gradient boosting regressor can accurately predict the day of spoilage. This provides a more accurate and cost-efficient alternative to current best-before date determination methods, reducing food waste, saving resources, and improving food safety by reducing the risk of consumers consuming spoiled food.</jats:p>
Erscheinungsjahr
Zeitschriftentitel
Foods
Band
12
Zeitschriftennummer
6
Artikelnummer
1347
ISSN
ELSA-ID

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Wunderlich P, Pauli D, Neumaier M, et al. Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors. Foods. 2023;12(6). doi:10.3390/foods12061347
Wunderlich, P., Pauli, D., Neumaier, M., Wisser, S., Danneel, H.-J., Lohweg, V., & Dörksen, H. (2023). Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors. Foods, 12(6), Article 1347. https://doi.org/10.3390/foods12061347
Wunderlich P et al. (2023) Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors. Foods 12.
Wunderlich, Paul, Daniel Pauli, Michael Neumaier, Stephanie Wisser, Hans-Jürgen Danneel, Volker Lohweg, and Helene Dörksen. “Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors.” Foods 12, no. 6 (2023). https://doi.org/10.3390/foods12061347.
Wunderlich, Paul, Daniel Pauli, Michael Neumaier, Stephanie Wisser, Hans-Jürgen Danneel, Volker Lohweg und Helene Dörksen. 2023. Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors. Foods 12, Nr. 6. doi:10.3390/foods12061347, .
Wunderlich, Paul ; Pauli, Daniel ; Neumaier, Michael ; Wisser, Stephanie ; Danneel, Hans-Jürgen ; Lohweg, Volker ; Dörksen, Helene: Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors. In: Foods Bd. 12, MDPI AG (2023), Nr. 6
P. Wunderlich, D. Pauli, M. Neumaier, S. Wisser, H.-J. Danneel, V. Lohweg, H. Dörksen, Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors, Foods. 12 (2023).
P. Wunderlich et al., “Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors,” Foods, vol. 12, no. 6, Art. no. 1347, 2023, doi: 10.3390/foods12061347.
Wunderlich, Paul, et al. “Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors.” Foods, vol. 12, no. 6, 1347, 2023, https://doi.org/10.3390/foods12061347.
Wunderlich, Paul u. a.: Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors, in: Foods 12 (2023), H. 6.
Wunderlich P, Pauli D, Neumaier M, Wisser S, Danneel HJ, Lohweg V, et al. Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors. Foods. 2023;12(6).

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