24 pages, Alternative food networks (AFN) are argued to provide platforms to re-socialize and re-spacealize food, establish and contribute to democratic participation in local food chains, and foster producer–consumer relations and trust. As one of the most recent examples of AFN, Participatory Guarantee Systems (PGS) have gained notable traction in attempting to redefine consumer-producer relations in the organic value chain. The participation of stakeholders, such as consumers, has been a key element theoretically differentiating PGS from other organic verification systems. While research on farmer participation in PGS is attracting interest, consumer participation is still widely overlooked. Using a mixed methods approach, this paper describes five PGS markets in Mexico, Chile and Bolivia. A survey was conducted with consumers in the PGS markets to explore their awareness of the PGS, how consumers participate in the PGS, and their level of trust in the respective PGS and its certified products. Results showed a low level of awareness of PGS among market consumers, few participation possibilities, and minimal consumer participation overall. Nevertheless, trust in organic quality was generally high. Consumers primarily relied on the direct relationship with producers and the PGS market itself as sources of trust. These results provide novel insight into PGS consumer-market interactions, and contribute to discussions concerning social embeddedness, awareness and participation within AFN.
8 pages, Food security is one of the priorities of every country in the World. However, different factors are making it difficult to meet global targets on food security. Some unprecedented shocks are encumbering food security at the global level. Various interventions have been applied toward food security and artificial intelligence is one of the modern methods that is being used in various stages of the food system. In this paper, the application of artificial intelligence in the whole food production ecosystem ranging from crop production, livestock production, harvesting/slaughtering, postharvest management, food processing, food distribution, food consumption and food waste management is assessed. The objective of this research is to assess the application of artificial intelligence systems in all the stages of food systems. A systematic review was conducted by analyzing 110 articles after the screening of 450 articles based on the inclusion and exclusion criteria. The results indicated that various artificial intelligence algorithms are being applied to all the stages of the food system from crop/livestock production up to food or agro-waste management.
7 pages, Climate change is considered primarily as a human-created phenomenon that is changing the way humans live. Nowhere are the impacts of climate change more evident than in the food ecosphere. Climate-induced changes in temperature, precipitation, and rain patterns, as well as extreme weather events have already started impacting the yield, quality, and safety of food. Food safety and the availability of food is a fundamental aspect of ensuring food security and an adequate standard of living. With climate change, there have been increasing instances of observed changes in the safety of food, particularly from a microbiological standpoint, as well as its quality and yield. Thus, there is an urgent need for the implementation of advanced methods to predict the food safety implications of climate change (i.e., future food safety issues) from a holistic perspective (overall food system). Artificial Intelligence (AI) and other such advanced technologies have, over the years, permeated many facets of the food chain, spanning both farm- (or ocean-) to-fork production, and food quality and safety testing and prediction. As a result, these are perfectly positioned to develop novel models to predict future climate change-induced food safety risks. This article provides a roundup of the latest research on the use of AI in the food industry, climate change and its impact on the food industry, as well as the social, ethical, and legal limitations of the same. Particularly, this perspective review stresses the importance of a holistic approach to food safety and quality prediction from a microbiological standpoint, encompassing diverse data streams to help stakeholders make the most informed decisions.
