Edge Computing for Real-Time Climate Data Analysis in Smart Farming

In modern agriculture, there is a need for precise and timely analysis of climate data for its sustainability. In smart farming, real-time insight is scheduled for the informed decision taking but the traditional ways of data collection and processing does not support such fast and accurate measurements. This study proposes an edge computing-based system to tackle this challenge to minimize the latency by performing the data analysis on the data source, or on the edge.