The landscape of stakeholders exhibits an interesting game between powerful tech companies, venture capitalists and often small start-ups and new entrants. Several authors therefore suggest that Big Data will cause major shifts in roles and power relations among different players in current food supply chain networks. Big data are being used to provide predictive insights in farming operations, drive real-time operational decisions, and redesign business processes for game-changing business models. The review shows that the scope of Big Data applications in Smart Farming goes beyond primary production it is influencing the entire food supply chain. Following a structured approach, a conceptual framework for analysis was developed that can also be used for future studies on this topic. This review aims to gain insight into the state-of-the-art of Big Data applications in Smart Farming and identify the related socio-economic challenges to be addressed. This is encompassed by the phenomenon of Big Data, massive volumes of data with a wide variety that can be captured, analysed and used for decision-making. New technologies such as the Internet of Things and Cloud Computing are expected to leverage this development and introduce more robots and artificial intelligence in farming. Smart Farming is a development that emphasizes the use of information and communication technology in the cyber-physical farm management cycle.
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