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Wilson, R

Yuncai, H

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Authors

Baresel, P

Mistele, B

Yuncai, H

Schmidhalter, U

Hackl, H

Cushnahan, M.Z

Yule, I.J

Wood, B.A

Wilson, R

Topics

Sensor Application in Managing In-season Crop Variability

Big Data Mining & Statistical Issues in Precision Agriculture

Type

Poster

Oral

Year

2012

2016

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Filter results2 paper(s) found.
1. A Comparison of Plant Temperatures as Measured By Thermal Imaging and Infrared Thermometry ... P. Baresel, B. Mistele, H. Yuncai, U. Schmidhalter, H. Hackl Download paper
2. 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 Download paper

Filter results2 paper(s) found.

1. A Comparison of Plant Temperatures as Measured By Thermal Imaging and Infrared Thermometry

... P. Baresel, B. Mistele, H. Yuncai, U. Schmidhalter, H. Hackl

Download paper

2. 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

Download paper