![]() We examined how such developments can be leveraged to design and implement the next generation of data, models, analytics and decision support tools for agriculture irrigation water system. This paper aims to review the application of big data based decision support system framework for sustainable water irrigation management using intelligent learning approaches. For accurate estimation of requirement of water for a crop a strong modeling is required. It depends on various parameters related to climate, soil and weather conditions. Irrigation water management is a challenging task for sustainable agriculture. Big data analytics becomes a key technology to perform analysis of voluminous data. Agriculture analytics is a data intensive multidisciplinary problem. ![]() From last decade, Big data analytics and machine learning is a hotspot research area in the domain of agriculture.
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