Development of an Organic Cassava Production Database System to Support Intelligent Agriculture Systems by Using Big Data Management Technology

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Published: Jun 30, 2026
Keywords:
Soil database system Organic cassava Intelligent agriculture Big data management technology

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Jakkrich Laosai
Department Electrical Technology, Faculty of Industrial Technology, University Ubon Ratchathani Rajabhat University, Ubon Ratchathani 34000
Suthep Naramart
Department Electronics Technology, Faculty of Industrial Technology, University Ubon Ratchathani Rajabhat University, Ubon Ratchathani 34000

Abstract

This research aims to develop a soil database system for organic cassava production by applying open agricultural innovation, precision farming, and smart farming technologies. The proposed system enables real-time monitoring and assessment of soil properties via the Internet of Things (IoT) to determine optimal crop requirements. Big Data Management Technology is employed to process and manage large-scale agricultural data, combined with data mining and cluster analysis techniques to synthesize and classify environmental information from sensing and control devices. The experimental results reveal that environmental factors, such as light spectrum, light intensity, temperature, and soil humidity, significantly influence optimal crop requirement parameters. The developed system effectively supports intelligent agriculture by enhancing production efficiency and enabling organic cassava farmers to achieve sustainable, data-driven cultivation practices.

Article Details

Issue
Vol.34 No.3 (May-June 2026)
Section
Biological Sciences

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