Neuro-Fuzzy System Assesses Water Productivity Indicators

Researchers at Srinakharinwirot University's Department of Computer Engineering have developed a Neuro-Fuzzy Inference System to evaluate water productivity indicators. The system combines neural networks and fuzzy logic to analyze complex data related to water use efficiency. This approach aims to provide more accurate assessments for agricultural and environmental management. The work was presented by SWU Computer Engineering as part of their ongoing research in computational intelligence.