Data Visualization Techniques in Smart Agriculture Implementation

Abstract

In recent years, data visualization techniques play an important role in the implementation of smart agriculture systems, enabling farmers and stakeholders to make informed decisions based on the analysis of complex agricultural data. This chapter presents an overview of various data visualization techniques and their applications in the context of smart agriculture. The authors discuss key visualization methods such as charts, graphs, maps, etc., highlighting their effectiveness in representing agricultural data in a meaningful and actionable way. This chapter explores the use of data visualization techniques in different stages of the agricultural process, including crop monitoring, weather forecasting, soil analysis, and yield prediction. We discuss how visualizations can help farmers understand and interpret large volumes of data collected from sensors, drones, and satellite imagery, allowing them to identify patterns, trends, and anomalies. Furthermore, the authors explore the integration of data visualization techniques with advanced technologies like machine learning and artificial intelligence.