Efficient water management is a vital component of contemporary agriculture, and the use of intelligent irrigation systems has garnered considerable interest for its ability to enhance water efficiency and maximize crop productivity. Predictive analytics is crucial in smart irrigation systems since it empowers farmers to make informed choices by utilizing both current and past data. Conventional irrigation techniques sometimes depend on predetermined schedules or human observations, which may not precisely reflect the true water needs of crops