Machine Learning for Smart Irrigation in Agriculture: How Far along Are We?
Marco Del-Coco,
Marco Leo,
Pierluigi Carcagnì
Abstract:The management of water resources is becoming increasingly important in several contexts, including agriculture. Recently, innovative agricultural practices, advanced sensors, and Internet of Things (IoT) devices have made it possible to improve the efficiency of water use. However, it is the application of control strategies based on advanced machine learning techniques that enables the adoption of smart irrigation scheduling and the immediate economic, social, and environmental benefits. This challenging res… Show more
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