Explainable machine learning for predicting cost and schedule overruns in irrigation projects: A safety-driven approach
Irrigation projects are essential for ensuring water security and sustainable agricultural development; however, they are highly susceptible to human, managerial, equipment, and environmental risks that contribute to cost overruns and schedule delays. Although machine learning (ML) has been widely applied to project pe...