Innovative Dashboard Designs for Real-Time Smart Farming Data Visualization

Abstract

The global population is projected to increase rapidly by 2050, intensifying the need for sustainable agriculture to support food security and the bioeconomy. Rapid urban development has caused the lack of arable land, necessitating innovative solutions like Smart Farming, which leverages IoT technology. This study investigates the suitable sensor that can be implemented for data collection. This study also suggests dashboard design elements with multiple-view concepts from different perspectives focusing on enhancing productivity, resource management, and ecological sustainability. The methodology approach was through Google Trends on the breakout or rising key words search followed by research question specifically to solve the related objectives. By using IoT sensors, parameter factors such as temperature, humidity, soil moisture, and light intensity, are collected and visualized through dashboards. This helps farmers to make informed decisions in real-time. This approach addresses the inefficiencies of conventional farming, providing reliable, synchronized data. The research identifies suitable IoT sensors and optimal visualization techniques for dashboard displays, proposing improvements in data presentation to facilitate better crop management.