Data for PhD Thesis: "Integrating WSN, citizen science, and remote sensing to power a data-driven decision support system for reselient smallholder agriculture"

Dataset

DOI

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.

Python, 3.8

QGIS, 3.36.3

Identifier
DOI	https://doi.org/10.17026/PT/6RNO6Z
Metadata Access	https://phys-techsciences.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/PT/6RNO6Z

Provenance
Creator	A.Z. Bayih
Publisher	DANS Data Station Physical and Technical Sciences
Contributor	Bayih, Amsale Z.; Bayih, Amsale Zelalem; Rolf A. de By; Javier Morales Guarin; Yaregal Assabie
Publication Year	2025
Rights	CC-BY-NC-4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by-nc/4.0
OpenAccess	true
Contact	Bayih, Amsale Z. (Faculty of Geo-Information Science and Earth Observation)

Representation
Resource Type	sensor-collected soil moisture and temperature data, citizen collected soil NPK data, survey data of farm management practices, ancilaary datasets, topography, agroecology, and climatology data; Dataset
Format	application/octet-stream; application/vnd.antix.game-component; audio/ogg; application/zipped-shapefile; image/tiff; image/jpeg; application/zip; image/png; text/tab-separated-values; application/json; application/vnd.dart; application/x-ipynb+json; text/plain; charset=US-ASCII; text/xml; text/csv; text/markdown; text/plain; application/pdf
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Version	1.0
Discipline	Agricultural Sciences; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Design; Earth and Environmental Science; Environmental Research; Fine Arts, Music, Theatre and Media Studies; Geosciences; Humanities; Life Sciences; Logic; Mathematics; Natural Sciences