{"title":"Advances in fingerprint and rapid methods for improved traceability in agri-food supply chains","authors":"D. Cozzolino, H. Smyth, Y. Sultanbawa","doi":"10.19103/as.2021.0097.21","DOIUrl":"https://doi.org/10.19103/as.2021.0097.21","url":null,"abstract":"Agri-food supply and value chain markets have become increasingly complex due to the changes in consumers demands, the development of complex food standards associated with food safety and quality, advances in technology (e.g. big data, machine learning), and changes in the food industry structure. However, recent issues related to food authenticity, adulteration, fraud, mislabelling, traceability and provenance have added a new dimension to consumers’ concerns, and food industry and regulatory bodies worldwide. The incorporation of sensing technologies combined with data analytics, are determining a paradigm shift in the way food ingredients and foods are both evaluated and monitored. This chapter discusses the utilisation of data analytics and sensing technologies to address issues related with food authenticity, adulteration, fraud, traceability and provenance in the food supply and value chains. In particular, this chapter will focus on the use of rapid analytical methods based in vibrational spectroscopy in combination with data analytics.","PeriodicalId":147549,"journal":{"name":"Developing smart agri-food supply chains: Using technology to improve safety and quality","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126707641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Developing decision support systems for crop yield forecasts","authors":"Lin Liu, B. Basso","doi":"10.19103/as.2021.0097.23","DOIUrl":"https://doi.org/10.19103/as.2021.0097.23","url":null,"abstract":"This chapter discusses existing yield forecasting systems in which the yield forecasts are driven by integration of different data sources, such as output of crop modeling, remote sensing and gridded climate datasets. It first provides overviews of the two predominant modeling approaches— crop simulation modeling and statistical modeling— to forecasting crop yield, with an emphasis on their respective use for operational crop yield forecasting systems. The chapter then briefly describes the accuracy and lead time of the existing yield forecasting models. Lastly, it provides a case study that integrates digital tools, field surveys, and crop modeling to provide on-time maize yield forecasts in small fields in Tanzania. The chapter concludes with a summary and future perspectives for research.","PeriodicalId":147549,"journal":{"name":"Developing smart agri-food supply chains: Using technology to improve safety and quality","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129180714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The role of technology in crisis management and product recall in food supply chains","authors":"L. Manning, A. Kowalska","doi":"10.19103/as.2021.0097.08","DOIUrl":"https://doi.org/10.19103/as.2021.0097.08","url":null,"abstract":"This chapter considers food governance and how it frames crisis management and product recalls in food supply chains. Effective food recalls following a food safety or legality related incident are supported by traceability systems ranging from paper based to those that apply the newest technology. This chapter is considers the value of Distributed Ledger Technologies (DLTs) for improvements in food supply chain governance structures that are especially tested during product recalls. The focus is on identifying advantages of Blockchain systems within public-private partnerships (PPPs) for food governance. There is great potential to reduce information asymmetry, a key barrier to supply chain development, innovation and efficiency, and effective crisis management and product recalls with the use of DLTs including Blockchain. PPPs for supply chain governance deliver value at the supply chain and wider stakeholder level including developing Blockchain consortia to improve overall efficiency and integrity in data collection, storage and sharing.","PeriodicalId":147549,"journal":{"name":"Developing smart agri-food supply chains: Using technology to improve safety and quality","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116800517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}