The prediction of soil moisture constants (SMCs), including field capacity (FC), permanent wilting point (PWP) and available water content (AWC), is essential for efficient irrigation scheduling and water management in the coastal regions of Bangladesh affected by salinity, flooding and waterlogging. However, the comparative evaluation of machine learning (ML) models for predicting SMCs in these complex coastal soils remains l...