{"publication":"Foods","type":"journal_article","_id":"9672","year":"2023","publication_status":"published","article_number":"1347","title":"Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors","doi":"10.3390/foods12061347","keyword":["Plant Science","Health Professions (miscellaneous)","Health (social science)","Microbiology","Food Science"],"external_id":{"pmid":["36981272"],"isi":["WOS:000967890400001"]},"quality_controlled":"1","date_updated":"2025-04-15T06:19:33Z","author":[{"id":"52317","first_name":"Paul","full_name":"Wunderlich, Paul","last_name":"Wunderlich"},{"first_name":"Daniel","orcid":"0000-0003-0860-4696 ","id":"75850","full_name":"Pauli, Daniel","last_name":"Pauli"},{"full_name":"Neumaier, Michael","last_name":"Neumaier","first_name":"Michael","id":"77059"},{"first_name":"Stephanie","id":"76627","full_name":"Wisser, Stephanie","last_name":"Wisser"},{"last_name":"Danneel","full_name":"Danneel, Hans-Jürgen","first_name":"Hans-Jürgen","id":"12231"},{"last_name":"Lohweg","full_name":"Lohweg, Volker","id":"1804","orcid":"0000-0002-3325-7887","first_name":"Volker"},{"id":"46416","first_name":"Helene","full_name":"Dörksen, Helene","last_name":"Dörksen"}],"issue":"6","citation":{"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).","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, MDPI AG (2023), Nr. 6","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, .","bjps":"Wunderlich P et al. (2023) Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors. Foods 12.","short":"P. Wunderlich, D. Pauli, M. Neumaier, S. Wisser, H.-J. Danneel, V. Lohweg, H. Dörksen, Foods 12 (2023).","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.","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).","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","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.","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.","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","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."},"language":[{"iso":"eng"}],"volume":12,"publication_identifier":{"issn":["2304-8158"]},"date_created":"2023-03-28T09:45:00Z","user_id":"83781","article_type":"original","department":[{"_id":"DEP5023"},{"_id":"DEP1308"}],"status":"public","intvolume":" 12","pmid":"1","publisher":"MDPI AG","abstract":[{"lang":"eng","text":"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."}]}