No Latency, No Waste: How Fog Computing Optimizes Precision Agriculture

Abstract

The implementation of Internet of Things (IoT) technologies in precision agriculture has been revolutionizing crop resource management. Soil sensors continuously monitor moisture, temperature, and salinity, providing crucial data for precise irrigation and soil management, while weather sensors track atmospheric conditions including air temperature, humidity, precipitation, and wind speed. This data enables prediction and management of pests and diseases, while also informing harvest decisions. Continuous monitoring and advanced data analysis allow for identification of trends and anomalies, facilitating rapid and precise adjustments to agricultural operations. In this article we propose an approach to deal with the problem of latency in the use of IoT in remote areas.