Kaan Arık

Anomaly Detection Based on Reconstruction Error in High-Frequency Hydroponic Sensor Data

In vertical farming and hydroponics, rapid changes in temperature, humidity, light, pH, and electrical conductivity raise the question of how to separate production-relevant deviations from normal operation. While previous studies have enhanced monitoring with IoT and machine learning, many approaches still rely on sta...