Climate change is exacerbating water scarcity and increasing evapotranspiration demands, posing serious challenges for agriculture. Efficient water management is essential to sustain crop productivity while minimizing environmental impact. This project aims to develop smart, data-driven approaches to improve irrigation efficiency by integrating physiological and climatic indicators, cost-effective sensor technologies, and predictive models. It focuses on identifying reliable tools to monitor plant water status, enabling precise irrigation scheduling. Additionally, the project will characterize the physiological profiles of crops to aid in breeding drought-resilient varieties and explore sustainable alternatives to irrigation, such as drought-tolerant crops. The impact of new irrigation methods on farm labor and economic efficiency will also be assessed. By combining technology, agronomy, and climate adaptation strategies, this project seeks to enhance water use efficiency, secure yields, and promote sustainable agriculture under increasing climate pressures.