Data Visualisation for Smart Farming Using Mobile Application
December 30, 2021
In farming, a massive amount of data must be collected and managed, e.g. fuel usage rate and performance of machines and total of yield produced. Big data are high-volume, highvelocity and high-variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making [6]. Based on this definition, farming data are categorised as big data. Thus, in smart farming, data visualisation is beneficial for processing, visualising and distributing data.
Data visualisation challenges in smart farming are mainly influenced by the V characteristics of big farming data. The first V is the volume of farming data. The use of precision equipment, such as sensors, actuators and robotics, in smart farming rapidly generates a large amount of data. The massive data are difficult to handle and lead to challenges in information analysis and processing. The second V is the variety of data. As previously mentioned, using multiple kinds of devices generates various types of data, such as structured, semi-structured and unstructured data. Managing these data is challenging. Visual noise, information loss, large image perception, rapid image change and high performance requirements are other challenges encountered during big data visualisation [7, 8]. This paper presents a practical study based on the application of data visualisation in the agriculture domain. The result of the study confirms that data visualisation can play a crucial role in the analysis and management of large farming data. The proposed technique can address smart farming questions and facilitate farm management.
