Building a Dashboard Farm by Simulation with Node-Red

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Title: Building a Dashboard Farm by Simulation with Node-Red
Researcher: Kanchana Silawarawet, Tawan Phurat 
Email:
tawan.phu@siam.edu
Department/Faculty: Department of Computer Engineering, Faculty of Engineering, Siam University Bangkok, Thailand
Faculty of study: วิศวกรรมศาสตร์ (Engineering)
Published: 2023 18th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP)
https://ieeexplore.ieee.org/document/10354673  DOI: 10.1109/iSAI-NLP60301.2023.10354673

Abstract

The creation of a dashboard for managing smart agricultural systems necessitates installing numerous devices in the field for comprehensive testing. This allows a thorough evaluation of the dashboard’s effectiveness across varied scenarios. Testing aims to determine how the system responds to dynamic environmental factors like temperature, humidity, and light, which significantly impact device performance. However, natural environmental complexities, characterized by temporal and spatial heterogeneity, make replicating conditions challenging. This research proposes using virtual nodes as digital counterparts to physical devices. These nodes emulate device functionality in a controlled manner, overcoming logistical challenges of physical deployment. Developers can simulate diverse scenarios, providing insights into device responses under varying environmental conditions. This research introduces a novel approach for evaluating smart farm dashboards, highlighting the potential of virtual nodes as tools for system development within intricate agricultural ecosystems in order to evaluate, compare the behavior of the smart farm system with simulation node and actual node, and to ensure that the smart farm system works as intended without interference by farmer. This contributes to the discourse on technology integration in agriculture, enhancing efficiency and sustainability in farming practices.

Keywords: Smart agriculture, Performance evaluation, Temperature, Ecosystems, Interference, Humidity, Natural language processing

Building a Dashboard Farm by Simulation with Node-Red. 2566 (2023). ไม่มี. บทความ (Paper). Advisor: อาจารย์ตะวัน ภูรัต – Mr. Tawan Phurat. ปริญญาตรี (Bachelor’s Degree). วิศวกรรมศาสตร์ (Engineering). วิศวกรรมศาสตรบัณฑิต สาขาวิชาวิศวกรรมคอมพิวเตอร์ – Bachelor of Engineering Program in Computer Engineering. วศ.บ. (วิศวกรรมคอมพิวเตอร์) – B. Eng. (Computer Engineering). Bangkok: Siam University

Academic Year 2023, ปริญญาตรี (Bachelor’s Degree), วิศวกรรมศาสตร์ (Engineering), วิศวกรรมศาสตรบัณฑิต สาขาวิชาวิศวกรรมคอมพิวเตอร์ – Bachelor of Engineering Program in Computer Engineering,วศ.บ. (วิศวกรรมคอมพิวเตอร์) – B. Eng. (Computer Engineering)

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