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Cushnahan, M.Z
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Authors
Cushnahan, M.Z
Yule, I.J
Wood, B.A
Wilson, R
Topics
Big Data Mining & Statistical Issues in Precision Agriculture
Type
Oral
Year
2016
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1. Surplus Science and a Non-linear Model for the Development of Precision Agriculture Technology

The advent of ‘big data technologies’ such as hyperspectral imaging means that Precision Agriculture (PA) developers now have access to superabundant and highly  heterogeneous data.  The authors explore the limitations of the classic science model in this situation and propose a new non-linear process that is not based on the premise of controlled data scarcity. The study followed a science team tasked with developing highly advanced hyperspectral techniques for a ‘low... M.Z. Cushnahan, I.J. Yule, B.A. Wood, R. Wilson