Agronomy Journal
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Published in Agron J 99:1366-1376 (2007)
DOI: 10.2134/agronj2007.0070
© 2007 American Society of Agronomy
677 S. Segoe Rd., Madison, WI 53711 USA
This Article
Right arrow Abstract Freely available
Right arrow Full Text Free
Right arrow Full Text (PDF) Free
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Taylor, J. A.
Right arrow Articles by Whelan, B. M.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Taylor, J. A.
Right arrow Articles by Whelan, B. M.
Agricola
Right arrow Articles by Taylor, J. A.
Right arrow Articles by Whelan, B. M.
Related Collections
Right arrow Best Management Practices

Establishing Management Classes for Broadacre Agricultural Production

J. A. Taylor*, A. B. McBratney and B. M. Whelan

Australian Centre for Precision Agriculture, McMillan Building, A05, The Univ. of Sydney, NSW 2006, Australia


Figure 1
View larger version (20K):
[in this window]
[in a new window]

 
Fig. 1. Histograms and boxplots of (a) raw wheat yield data from 2000 (Mg ha–1) (top left), constrained to sensible thresholds (top center) and trimmed using 2.5 (left tail) and 2.5 (right tail) SDs (top right) and (b) EM31 raw data from 2004 (mS m–1) (bottom left), trimmed of two low values (bottom center) and trimmed to ±2.5 SDs (bottom right).

 

Figure 2
View larger version (32K):
[in this window]
[in a new window]

 
Fig. 2. Screenshot of the comma separated output file generated by GEOD (v3.42) showing the input in geographic coordinates (GDA94) in the first two columns and the corresponding output in Cartesian coordinates (UTM MGA94 Zone 56) in the last two columns. The center (third) column is the yield value.

 

Figure 3
View larger version (38K):
[in this window]
[in a new window]

 
Fig. 3. Example of irregular spaced yield data (round dots) overlain with a regular square (5 m) grid (crosses). Interpolation transforms the raw data into predicted values at the grid nodes.

 

Figure 4
View larger version (30K):
[in this window]
[in a new window]

 
Fig. 4. An example of the graphical output from VESPER showing the pattern of the predicted variable (wheat yield 2004) (left) and the map of kriging SD (right). Screenshot is shown in black and white; however, VESPER output is in color.

 

Figure 5
View larger version (78K):
[in this window]
[in a new window]

 
Fig. 5. Interpolated maps of all data layers available for analysis. Maps are presented using a common legend based on SDs.

 

Figure 6
View larger version (35K):
[in this window]
[in a new window]

 
Fig. 6. Maps of potential management classes derived from fuzzy k-means cluster analysis using the shareware FuzME. Examples of two, three, four, five, and six classes are shown.

 

Figure 7
View larger version (27K):
[in this window]
[in a new window]

 
Fig. 7. The two management class map overlain with the stratified soil sample locations in 2001 and 2004.

 





HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
The SCI Journals Crop Science Vadose Zone Journal
Journal of Natural Resources
and Life Sciences Education
Soil Science Society of America Journal
Journal of Plant Registrations Journal of
Environmental Quality
The Plant Genome
Copyright © 2007 by the American Society of Agronomy.