Smart sensing and anomaly detection for microalgae culture based on LoRaWAN sensors and LSTM autoencoder
(2025)
Journal Article
Soon, C. F., Jamia’an, M., Mohamed Sunar, N., Arifin, S. N. H., Tay, K. G., Heng, C., See, C. H., Mat Nayan, N. H., & Tee, K. S. (2025). Smart sensing and anomaly detection for microalgae culture based on LoRaWAN sensors and LSTM autoencoder. Aquaculture International, 33(6), Article 438. https://doi.org/10.1007/s10499-025-02104-7
The increasing demand for sustainable aquaculture solutions has accelerated interest in microalgae as an alternative fish feed source. This study presents a novel integration of Long-Range Wide Area Network (LoRaWAN) sensors and a Long Short-Term Mem... Read More about Smart sensing and anomaly detection for microalgae culture based on LoRaWAN sensors and LSTM autoencoder.