ABSTRACT
In this paper, we evaluate the impact of COVID-19 on farmers market (FM) sales across the United States during the 2020 operating season using survey responses from 420 market managers. Using a multinomial logit model, we evaluate how certain market characteristics are associated with increased probabilities of market organizations gaining or losing revenue in 2020. We find that SNAP sales changes, market location, and COVID-19 intensity impacted revenue outcomes. State COVID-19 policies for FM and the existence of FM assistance organizations had less of an impact.
ABSTRACT
Indoor air quality has a critical impact on human and animal health and well-being. Because of the confinement during the Covid-19 health crisis, millions of people were forced to stay at home. Therefore, living environments should incorporate an automated monitoring system to detect unfavorable air quality scenarios. Also, Internet of things (IoT) due to their ability to carry air low-cost sensing units have become a cheap alternative to monitor pollution values in a given area. However, enough still needs to be learned as these types of studies are expected to increase in the future years. In this paper, we have developed an intelligent IoT-fuzzy-based device based on low-cost sensors for indoor air quality monitoring (IoT-fuzzy-based AQM). It used a type-1 fuzzy inference system to improve the measurement accuracy of the low-cost sensors and to estimate the air quality index. Experiment tests are made in an indoor environment (home), where the obtained results have proved the effectiveness of the realized system. © 2021 IEEE.