Acceso abierto

Food Safety Monitoring Indicators and Early Warning Level Setting Based on Time Series Analysis

,  y   
17 mar 2025

Cite
Descargar portada

Fung, F., Wang, H. S., & Menon, S. (2018). Food safety in the 21st century. Biomedical journal, 41(2), 88-95. Fung F. Wang H. S. Menon S. ( 2018 ). Food safety in the 21st century . Biomedical journal , 41 ( 2 ), 88 - 95 . Search in Google Scholar

King, T., Cole, M., Farber, J. M., Eisenbrand, G., Zabaras, D., Fox, E. M., & Hill, J. P. (2017). Food safety for food security: Relationship between global megatrends and developments in food safety. Trends in Food Science & Technology, 68, 160-175. King T. Cole M. Farber J. M. Eisenbrand G. Zabaras D. Fox E. M. Hill J. P. ( 2017 ). Food safety for food security: Relationship between global megatrends and developments in food safety . Trends in Food Science & Technology , 68 , 160 - 175 . Search in Google Scholar

Shaw, I. C. (2018). Food safety: the science of keeping food safe. John Wiley & Sons. Shaw I. C. ( 2018 ). Food safety: the science of keeping food safe . John Wiley & Sons . Search in Google Scholar

Wu, L., Liu, P., Lv, Y., Chen, X., & Tsai, F. S. (2018). Social co-governance for food safety risks. Sustainability, 10(11), 4246. Wu L. Liu P. Lv Y. Chen X. Tsai F. S. ( 2018 ). Social co-governance for food safety risks . Sustainability , 10 ( 11 ), 4246 . Search in Google Scholar

Khan, I. M., Niazi, S., Akhtar, W., Yue, L., Pasha, I., Khan, M. K. I., ... & Wang, Z. (2023). Surface functionalized AuNCs optical biosensor as an emerging food safety indicator: Fundamental mechanism to future prospects. Coordination Chemistry Reviews, 474, 214842. Khan I. M. Niazi S. Akhtar W. Yue L. Pasha I. Khan M. K. I. Wang Z. ( 2023 ). Surface functionalized AuNCs optical biosensor as an emerging food safety indicator: Fundamental mechanism to future prospects . Coordination Chemistry Reviews , 474 , 214842 . Search in Google Scholar

Wang, J., & Yue, H. (2017). Food safety pre-warning system based on data mining for a sustainable food supply chain. Food Control, 73, 223-229. Wang J. Yue H. ( 2017 ). Food safety pre-warning system based on data mining for a sustainable food supply chain . Food Control , 73 , 223 - 229 . Search in Google Scholar

Geng, Z., Shang, D., Han, Y., & Zhong, Y. (2019). Early warning modeling and analysis based on a deep radial basis function neural network integrating an analytic hierarchy process: A case study for food safety. Food control, 96, 329-342. Geng Z. Shang D. Han Y. Zhong Y. ( 2019 ). Early warning modeling and analysis based on a deep radial basis function neural network integrating an analytic hierarchy process: A case study for food safety . Food control , 96 , 329 - 342 . Search in Google Scholar

Xiong, Y., Li, W., & Liu, T. (2020). Risk early warning of food quality safety in meat processing industry. International Journal of Environmental Research and Public Health, 17(18), 6579. Xiong Y. Li W. Liu T. ( 2020 ). Risk early warning of food quality safety in meat processing industry . International Journal of Environmental Research and Public Health , 17 ( 18 ), 6579 . Search in Google Scholar

Li, G., Shang, X., & Liu, Q. (2020). Regional food safety testing risk analysis and early warning research. In Innovative Computing: IC 2020 (pp. 1135-1142). Springer Singapore. Li G. Shang X. Liu Q. ( 2020 ). Regional food safety testing risk analysis and early warning research . In Innovative Computing: IC 2020 (pp. 1135 - 1142 ). Springer Singapore . Search in Google Scholar

Mu, W., Kleter, G. A., Bouzembrak, Y., Dupouy, E., Frewer, L. J., Radwan Al Natour, F. N., & Marvin, H. J. P. (2024). Making food systems more resilient to food safety risks by including artificial intelligence, big data, and internet of things into food safety early warning and emerging risk identification tools. Comprehensive Reviews in Food Science and Food Safety, 23(1), e13296. Mu W. Kleter G. A. Bouzembrak Y. Dupouy E. Frewer L. J. Radwan Al Natour F. N. Marvin H. J. P. ( 2024 ). Making food systems more resilient to food safety risks by including artificial intelligence, big data, and internet of things into food safety early warning and emerging risk identification tools . Comprehensive Reviews in Food Science and Food Safety , 23 ( 1 ), e13296 . Search in Google Scholar

Zhong, J., Sun, L., Zuo, E., Chen, C., Chen, C., Jiang, H., ... & Lv, X. (2023). An ensemble of AHP-EW and AE-RNN for food safety risk early warning. Plos one, 18(4), e0284144. Zhong J. Sun L. Zuo E. Chen C. Chen C. Jiang H. Lv X. ( 2023 ). An ensemble of AHP-EW and AE-RNN for food safety risk early warning . Plos one , 18 ( 4 ), e0284144 . Search in Google Scholar

Liu, W., Guo, A., Bao, X., Li, Q., Liu, L., Zhang, X., & Chen, X. (2022). Statistics and analyses of food safety inspection data and mining early warning information based on chemical hazards. Lwt, 165, 113746. Liu W. Guo A. Bao X. Li Q. Liu L. Zhang X. Chen X. ( 2022 ). Statistics and analyses of food safety inspection data and mining early warning information based on chemical hazards . Lwt , 165 , 113746 . Search in Google Scholar

Ma, B., Han, Y., Cui, S., Geng, Z., Li, H., & Chu, C. (2020). Risk early warning and control of food safety based on an improved analytic hierarchy process integrating quality control analysis method. Food Control, 108, 106824. Ma B. Han Y. Cui S. Geng Z. Li H. Chu C. ( 2020 ). Risk early warning and control of food safety based on an improved analytic hierarchy process integrating quality control analysis method . Food Control , 108 , 106824 . Search in Google Scholar

Liu, N., Bouzembrak, Y., Van den Bulk, L. M., Gavai, A., van den Heuvel, L. J., & Marvin, H. J. (2022). Automated food safety early warning system in the dairy supply chain using machine learning. Food Control, 136, 108872. Liu N. Bouzembrak Y. Van den Bulk L. M. Gavai A. van den Heuvel L. J. Marvin H. J. ( 2022 ). Automated food safety early warning system in the dairy supply chain using machine learning . Food Control , 136 , 108872 . Search in Google Scholar

Geng, Z., Liu, F., Shang, D., Han, Y., Shang, Y., & Chu, C. (2021). Early warning and control of food safety risk using an improved AHC-RBF neural network integrating AHP-EW. Journal of Food Engineering, 292, 110239. Geng Z. Liu F. Shang D. Han Y. Shang Y. Chu C. ( 2021 ). Early warning and control of food safety risk using an improved AHC-RBF neural network integrating AHP-EW . Journal of Food Engineering , 292 , 110239 . Search in Google Scholar

Zhang, Y. (2020). Food safety risk intelligence early warning based on support vector machine. Journal of Intelligent & Fuzzy Systems, 38(6), 6957-6969. Zhang Y. ( 2020 ). Food safety risk intelligence early warning based on support vector machine . Journal of Intelligent & Fuzzy Systems , 38 ( 6 ), 6957 - 6969 . Search in Google Scholar

Zuo, E., Du, X., Aysa, A., Lv, X., Muhammat, M., Zhao, Y., & Ubul, K. (2022). Anomaly score-based risk early warning system for rapidly controlling food safety risk. Foods, 11(14), 2076. Zuo E. Du X. Aysa A. Lv X. Muhammat M. Zhao Y. Ubul K. ( 2022 ). Anomaly score-based risk early warning system for rapidly controlling food safety risk . Foods , 11 ( 14 ), 2076 . Search in Google Scholar

Geng, Z., Liang, L., Han, Y., Tao, G., & Chu, C. (2022). Risk early warning of food safety using novel long short-term memory neural network integrating sum product based analytic hierarchy process. British Food Journal, 124(3), 898-914. Geng Z. Liang L. Han Y. Tao G. Chu C. ( 2022 ). Risk early warning of food safety using novel long short-term memory neural network integrating sum product based analytic hierarchy process . British Food Journal , 124 ( 3 ), 898 - 914 . Search in Google Scholar

Geng, Z., Wang, X., Jiang, Y., Han, Y., Ma, B., & Chu, C. (2023). Novel IAPSO-LSTM neural network for risk analysis and early warning of food safety. Expert Systems with Applications, 230, 120747. Geng Z. Wang X. Jiang Y. Han Y. Ma B. Chu C. ( 2023 ). Novel IAPSO-LSTM neural network for risk analysis and early warning of food safety . Expert Systems with Applications , 230 , 120747 . Search in Google Scholar

Ying, G. A. O. (2019). Research on early warning and evaluation of food safety network public opinion based on interval analytic hierarchy process. Food and Machinery, 35(7), 103-106. Ying G. A. O. ( 2019 ). Research on early warning and evaluation of food safety network public opinion based on interval analytic hierarchy process . Food and Machinery , 35 ( 7 ), 103 - 106 . Search in Google Scholar

Chen, Q. (2024, January). Early Warning Monitoring System for Fresh Food Safety Based on K-means Clustering Algorithm. In International Conference on Innovative Computing (pp. 275-284). Singapore: Springer Nature Singapore. Chen Q. ( 2024 , January ). Early Warning Monitoring System for Fresh Food Safety Based on K-means Clustering Algorithm . In International Conference on Innovative Computing (pp. 275 - 284 ). Singapore: Springer Nature Singapore . Search in Google Scholar

Hou, Y., & Liang, X. (2022). Research on food security risk assessment and early warning in China based on BP neural network model. Journal of Food Quality, 2022(1), 5245752. Hou Y. Liang X. ( 2022 ). Research on food security risk assessment and early warning in China based on BP neural network model . Journal of Food Quality , 2022 ( 1 ), 5245752 . Search in Google Scholar

Mohamed Zhran, Karim Ghanem, Aqil Tariq, Fahad Alshehri, Shuanggen Jin, Jayanta Das... & Ashraf Mousa. (2024). Exploring a GIS-based analytic hierarchy process for spatial flood risk assessment in Egypt: a case study of the Damietta branch. Environmental Sciences Europe(1),184-184. Zhran Mohamed Ghanem Karim Tariq Aqil Alshehri Fahad Jin Shuanggen Das Jayanta Mousa Ashraf ( 2024 ). Exploring a GIS-based analytic hierarchy process for spatial flood risk assessment in Egypt: a case study of the Damietta branch . Environmental Sciences Europe ( 1 ), 184 - 184 . Search in Google Scholar

Kunal Shejul, R. Harikrishnan & Harshita Gupta. (2024). The improved integrated Exponential Smoothing based CNN-LSTM algorithm to forecast the day ahead electricity price. MethodsX102923-102923. Shejul Kunal Harikrishnan R. Gupta Harshita ( 2024 ). The improved integrated Exponential Smoothing based CNN-LSTM algorithm to forecast the day ahead electricity price . MethodsX 102923 - 102923 . Search in Google Scholar

Zhu Xing, Zhang Fuling, Deng Maolin, Liu Junfeng, He Zhaoqing, Zhang Wengang & Gu Xin. (2022). A Hybrid Machine Learning Model Coupling Double Exponential Smoothing and ELM to Predict Multi-Factor Landslide Displacement. Remote Sensing(14),3384-3384. Xing Zhu Fuling Zhang Maolin Deng Junfeng Liu Zhaoqing He Wengang Zhang Xin Gu ( 2022 ). A Hybrid Machine Learning Model Coupling Double Exponential Smoothing and ELM to Predict Multi-Factor Landslide Displacement . Remote Sensing ( 14 ), 3384 - 3384 . Search in Google Scholar