Αξιολόγηση της αξιοπιστίας δεδοµένων για βιώσιµη χρηµατοδότηση στην ψηφιακή γεωργία
Evaluating agricultural data reliability for sustainable finance applications

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Keywords
Ψηφιακή γεωργία ; Επιστήμη δεδομένων ; Βιώσιμη οικονομία ; Αξιοπιστία δεδομένωνAbstract
As climate action and sustainable finance are increasingly supported by data-driven approaches, data reliability is becoming a foundation for trustworthy and transparent decision-making. Yet, this crucial aspect is often overlooked. This need is especially important in agriculture, where information comes from a fragmented mix of sources, including manual logs, invoices, sensors, GPS systems, and satellite imagery, each varying in accuracy and traceability. When such data is used to assess creditworthiness or eligibility for carbon market access, its reliability directly shapes financial inclusion, policy credibility, and environmental outcomes. This thesis introduces the Data Reliability Index (DRI), a novel framework for evaluating the consistency and trustworthiness of agricultural data across the following core dimensions: volume, input frequency, data variety, quality and source trustworthiness, and criticality (i.e., the relevance of a data element to a given decision). Developed through a Design Science Research methodology, the DRI functions as a diagnostic tool to determine whether datasets are fit for high-stakes applications. The framework is validated across three domains: credit and sustainability assessments in agriculture, ESG alignment and carbon market access, and real-time risk monitoring for financial institutions. These applications demonstrate that the DRI is a transparent and context-aware tool for supporting decisions, specifically designed for digital agriculture. The broader implication of this thesis is clear: data alone is not enough. For digital agriculture to advance sustainability, equity, and resilience, it must also assess and clearly communicate the reliability of the data that drives every decision.


