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This document presents a study on an IoT system integrated with machine learning for predicting groundwater levels in peatlands to mitigate fire risks. The proposed neural network model demonstrates high accuracy in real-time monitoring, utilizing atmospheric parameters to predict groundwater levels without relying on historical data. This innovative approach aims to enhance peatland management and reduce the environmental threats posed by peatland fires in the ASEAN region.

Author

mohinithite2002

Language

EN