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Irrigation is becoming an activity of precision, where combining information collected from various sources is necessary to optimally manage resources. New management strategies, such as big data techniques, sensors, artificial intelligence, unmanned aerial vehicles (UAV), and new technologies in general, are becoming more relevant every day. As such, modeling techniques, both at the water distribution network and the farm levels, will be essential to gather information from various sources and offer useful recommendations for decision-making processes. In this book, 10 high quality papers were selected that cover a wide range of issues that are relevant to the different aspects related to irrigation management: water source and distribution network, plot irrigation systems, and crop water management.

Calathea --- irrigation demands --- variable topography --- water need index (WNI) --- rotator spray sprinkler --- olive orchard --- evapotranspiration --- modified drag model --- center pivot system --- hydraulic model --- optimization --- energy consumption --- the stable carbon isotope technique --- pump-as-turbine --- irrigation DSS --- Stromanthe --- ballistic simulation --- water resources management --- weed algorithm --- low-pressure --- modelling --- decision support systems --- water depth --- payback period --- irrigation networks --- water productivity --- fertigation scheduling --- container-grown plants --- irrigation water allocation --- actual evapotranspiration (ETA) --- sugar beet --- precision irrigation --- combinatorial analysis --- lined irrigation open-canal --- calibration --- soil-water-plant-atmosphere models --- daily water requirements --- hydraulic modelling --- AquaCrop --- reclaimed water --- hydropower --- crop transpiration --- water-energy nexus --- variable speed --- summer maize --- ornamental foliage plants --- Aswan High Dam --- energy losses --- well --- drip irrigation --- statistical analysis --- unmeasured discharges estimation --- irrigation network