Abstract
Application of Big Data in agriculture could both contribute to economic gain and to reduction of environmental impact. Especially at the farming level, the high cost of measuring actual operations as they occurred historically restrained decision making in the sector. Currently several sensing technologies associated with Big Data are being evaluated and adopted within the sector. Their adoption offers the opportunity to alter that historic benefit/cost relationship. Combined with advanced analytics, measurement and analysis of diverse sources of data promise to create value for sector decision makers and society. While consumers likely will continue to be the ultimate beneficiaries of such advances, the pattern by which value is captured by entities in the sector remains uncertain. Factors such as organizational collaboration and the application of rules associated with intellectual property will have significant impact upon the evolution of Big Data’s implementation within agriculture.
Highlights
Agriculture1 is a vitally important sector affecting the global economy, societal wellbeing, and the vitality of natural ecosystems
As we saw in the early days of the 1990s knowledge economy, unintended insights can be developed from digital data captured for other purposes (Sampler, 1997; Shapiro and Varian, 1999)
Big Data capabilities have emerged in recent years as potential “game changers” that could affect economies and societies in profound, somewhat uncertain, ways
Summary
Agriculture is a vitally important sector affecting the global economy, societal wellbeing, and the vitality of natural ecosystems. There are new companies thinking about how you can farm differently using technology; sensors connected that use water more efficiently, use light, sunlight, more efficiently While such potentials are exciting, it is important to remember that Big Data won’t have much impact unless it too is understood, adopted, and adapted by farmers and other managers. This article’s perspective is that the tools and techniques associated with Big Data offer the potential for agriculture to become significantly more effective in the pursuit of both economic and societal goals. As will be further detailed in the paper, fully exploiting Big Data capabilities likely will require development of novel relations between firms and sectors within agriculture. This evolution could contribute to fundamental strategic.
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