Computerized Irrigation Scheduling

Wasteful irrigation systems are significant contributors to water scarcity on the globe. Irrigation Scheduling based on Machine Learning (ML) algorithms is considered essential in helping reduce these wastes significantly. We conducted in this study a systematic mapping of ML-based Irrigation scheduling to identify how researchers approached Irrigation Scheduling and which ML models have been used in this area. It builds a comprehensive overview of what has been investigated on irrigation scheduling and discusses the open issues to be addressed in the future.