An Introduction to Experimental Design and Models
Document Type
Book Chapter
Publication Date
2017
Abstract
There is a perception that precision farming is the use of state-of-the-art technologies to apply variable rate treatments across fields. However, precision farming is also the use of these tools to apply locally-based knowledge to improve management decisions. This chapter provides an overview on how experimentation and mathematical models can lead to improved yield or net return from differing agricultural systems in a site specific manner. This information can then be used to determine if decisions should be varied across the field. The goals of this chapter is to improve your understanding how to conduct strip trials and the associated analysis, interpretation of laboratory results, and how use of zero- and first-order mathematical models in problem solving.
Publication Title
Practical Mathematics for Precision Farming
DOI of Published Version
10.2134/practicalmath2017.0104
Recommended Citation
Clay, David; Hatfield, Gary; and Clay, Sharon A., "An Introduction to Experimental Design and Models" (2017). Agronomy, Horticulture and Plant Science Faculty Publications. 76.
https://openprairie.sdstate.edu/plant_faculty_pubs/76