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Evaluating the Usability of Different Methods for Visualizing Constituent Parts in a Digital Twin of a Soy Farm

Kamran, Uzziel (2024) Evaluating the Usability of Different Methods for Visualizing Constituent Parts in a Digital Twin of a Soy Farm.

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Abstract:The pressing need to enhance agricultural efficiency and sustainability necessitates innovative approaches to farm management. This research investigates the utilization of Digital Twins (DTs) in the storage and packaging processes of soy yogurt on a soy farm. Specifically, it compares the effectiveness of text-based and hybrid visualization approaches within a DT system. The study involved creating a detailed 3D model of the farm, implementing a DT system with both visualization methods, and conducting usability testing with a group of users, including a farmer and geo-data users from ITC. Results indicate that the hybrid approach, which combines textual data with visual aids, significantly enhances user efficiency and effectiveness in task completion compared to the text-based method. Eye-tracking data and user feedback reveal that users find the hybrid method more intuitive and accessible, facilitating quicker and accurate decision-making. Additionally, the study underscores the importance of 3D environments in aiding user understanding of farm processes, providing a realistic representation that enhances spatial and operational comprehension. The research highlights the need for scalable and adaptable DT systems capable of accommodating future changes in farm infrastructure. By integrating user feedback, dynamic data handling, and modular design principles, DTs can evolve to meet the diverse needs of modern agriculture. This study contributes to the growing body of knowledge on DT applications in agriculture, providing insights for optimizing digital tools to support sustainable and efficient farming practices. The findings suggest that incorporating visual aids and 3D environments into DTs can significantly improve usability, making them more effective for real-world agricultural management.
Item Type:Essay (Master)
Faculty:ITC: Faculty of Geo-information Science and Earth Observation
Subject:01 general works, 38 earth sciences, 48 agricultural science, 74 (human) geography, cartography, town and country planning, demography
Programme:Geoinformation Science and Earth Observation MSc (75014)
Link to this item:https://purl.utwente.nl/essays/101407
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