8 pages, Street foods play an important role in the lives of urban population members in developing countries. The food industry provides many job opportunities. The food safety knowledge, attitude, and practices of vendors are important aspects, as these individuals provide food and nourishment at very low prices to people all over the world. Most street foods are unhealthy because of the high risk of contamination, which poses a serious threat to food safety. The present study aimed to assess the food safety knowledge, attitudes and practices of vendors and the most significant influencing factors of these aspects with the help of cluster analysis to categorize vendors. The present study focused on 100 vendors who were randomly selected from different locations in Lucknow city. The information was collected through a structured questionnaire using the KAP (Knowledge Attitude Practice) scale for food safety. Vendors were clustered on the basis of the KAP using two-step cluster analysis and a chi -square test to assess the impact of various personal factors on the KAP. The results of the study indicated that street vendors are significantly differentiated on the basis of qualifications, knowledge, attitude and practices. Awareness and training programs should be implemented to improve the food safety knowledge, attitudes and practices among vendors. Once food safety standards are acceptable, it will then be critical to ensure that poor people in developed cities such as Lucknow can earn a living through a "convenient" enterprise such as street food vending.
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.
