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Data for PhD Thesis: "Integrating WSN, citizen science, and remote sensing to power a data-driven decision support system for reselient smallholder agriculture"
DD
DANS Data Station Physical and Technical Sciencesvia DANS Data Stations (via DataCite) · bijgewerkt 24 augustus 2026
Wat erin zit
This thesis focused on building a robust, relibale, accessible, and affordable spatiotemporal data infrastructure to allow continuous data flow from resource-constrained environments to an intelligent decision support system. We integrated IoT-WSN, citizen science, and remote sensing for smallholder farms monitoring. We build agriculture data cube using automated data pipeline and APIs from these sources, which is then used to develop a data-driven knowledge base. The agriculture knowledge base is utilized into a data-driven decision support system using fuzzy logic and association mining models.
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