Title
Abstract
The purpose of this presentation is to challenge statisticians to develop new tools needed by modern scientists. We are in the midst of a Scientific Revolution being driven by computers and the internet. Scientists are gathering huge amounts of data on the usual measurements while continually developing new instruments for new measurements. Data sets full of measurements which may pertain to the scientist's research are easily available on the internet. Scientists are being overwhelmed with data. Agricultural producers and consumers are asking for more information. Scientists need new tools to evaluate variation. They need help with sampling - numbers of observations required and proper sampling schemes. Examples and suggestions will be offered. Statistical Process Control as applied to farming systems will be discussed.
Keywords
Statistics, Internet, Decision Support, Agriculture, Measurement, Weather, Precision Farming, Database
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
Nelsen, Terry C. and Palmquist, Debra E.
(2003).
"NEW TOOLS FOR NEW TIMES,"
Conference on Applied Statistics in Agriculture.
https://doi.org/10.4148/2475-7772.1173
NEW TOOLS FOR NEW TIMES
The purpose of this presentation is to challenge statisticians to develop new tools needed by modern scientists. We are in the midst of a Scientific Revolution being driven by computers and the internet. Scientists are gathering huge amounts of data on the usual measurements while continually developing new instruments for new measurements. Data sets full of measurements which may pertain to the scientist's research are easily available on the internet. Scientists are being overwhelmed with data. Agricultural producers and consumers are asking for more information. Scientists need new tools to evaluate variation. They need help with sampling - numbers of observations required and proper sampling schemes. Examples and suggestions will be offered. Statistical Process Control as applied to farming systems will be discussed.
