[{"publisher":"MDPI ","author":[{"id":"52317","last_name":"Wunderlich","full_name":"Wunderlich, Paul","first_name":"Paul"},{"id":"75850","full_name":"Pauli, Daniel","first_name":"Daniel","last_name":"Pauli","orcid":"0000-0003-0860-4696 "},{"full_name":"Neumaier, Michael","first_name":"Michael","last_name":"Neumaier","id":"77059"},{"id":"76627","last_name":"Wisser","first_name":"Stephanie","full_name":"Wisser, Stephanie"},{"first_name":"Hans-Jürgen","full_name":"Danneel, Hans-Jürgen","last_name":"Danneel","id":"12231"},{"id":"1804","orcid":"0000-0002-3325-7887","last_name":"Lohweg","first_name":"Volker","full_name":"Lohweg, Volker"},{"id":"46416","first_name":"Helene","full_name":"Dörksen, Helene","last_name":"Dörksen"}],"abstract":[{"lang":"eng","text":"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."}],"publication_status":"published","status":"public","issue":"6","publication":"Foods","title":"Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors","publication_identifier":{"eissn":["2304-8158"]},"pmid":"1","volume":12,"external_id":{"pmid":["36981272"],"isi":["000967890400001"]},"intvolume":" 12","place":"Basel","language":[{"iso":"eng"}],"_id":"13015","keyword":["Plant Science","Health Professions (miscellaneous)","Health (social science)","Microbiology","Food Science"],"article_number":"1347","date_updated":"2025-06-25T13:13:13Z","date_created":"2025-06-24T13:25:13Z","department":[{"_id":"DEP5023"},{"_id":"DEP1308"}],"user_id":"83781","doi":"10.3390/foods12061347","isi":"1","year":"2023","type":"scientific_journal_article","citation":{"apa":"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","bjps":"Wunderlich P et al. (2023) Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors. Foods 12.","chicago-de":"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, .","ufg":"Wunderlich, Paul u. a.: Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors, in: Foods 12 (2023), H. 6.","din1505-2-1":"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. Basel, MDPI (2023), Nr. 6","havard":"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).","short":"P. Wunderlich, D. Pauli, M. Neumaier, S. Wisser, H.-J. Danneel, V. Lohweg, H. Dörksen, Foods 12 (2023).","van":"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).","ieee":"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.","mla":"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.","chicago":"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.","ama":"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"}}]