Evaluation of an Interpretive Layer for User Decision Support under Inconsistent Sensor Readings in a Multi-Zone Miniature Smart Greenhouse

Introduction: Smart greenhouses rely on distributed environmental sensors to monitor growing conditions across different zones of the same protected structure. Because these sensors operate within a shared greenhouse environment, their readings are expected to remain relatively consistent, or at least to change gradually in relation to previous measurements and neighboring zones. A sudden or unexplained divergence may therefore indicate a measurement inconsistency that requires clear interpretation for the user.

Methods: This work presents an interpretive layer for user decision support in a multi-zone miniature smart greenhouse. The layer analyzes measurement consistency from two complementary perspectives: temporal consistency, by comparing the current reading with its previous behavior, and spatial consistency, by comparing readings across greenhouse zones. The resulting indicators are converted into a simplified visual display showing the reliability of the measurement, the possible source of inconsistency, and the need for user inspection, without applying automatic control decisions or substituting sensor values.

Results: The layer was evaluated through a controlled scenario in which a localized disturbance was introduced in one light sensor, while the other zone remained under normal operating conditions. Raw values alone could be interpreted as a local variation, whereas contextual comparison highlighted that the divergence was inconsistent with the overall spatial behavior of the greenhouse. The visual display helped direct the user’s attention to the zone and sensor requiring inspection.

Conclusions: This preliminary study shows that integrating temporal and spatial consistency into a greenhouse monitoring interface can improve the user’s understanding of sensor reliability and support timely inspection and maintenance decisions.