Precision Irrigation Management Using Machine Learning and Digital Farming Solutions

Freshwater is essential for irrigation and the supply of nutrients plant growth, in order to compensate inadequacies rainfall. Agricultural activities utilize around 70% available freshwater. This underscores importance responsible management, using smart agricultural water technologies. The focus this paper investigate research regarding integration different machine learning models that can provide optimal decision management. article reviews trend applicability techniques, as well deployment developed use by farmers toward sustainable It further discusses how digital farming solutions, such mobile web frameworks, enable management processes, with aim reducing stress faced researchers due opportunity remote monitoring control. challenges, future direction research, are also discussed.