Soil Sampling Strategies for Precision Agriculture Research under Sahelian Conditions
J.W. van Groenigena,
M. Gandahb and
J. Boumac
a Soil Sci. Div., Int. Inst. for Aerospace Survey and Earth Sci. (ITC), P.O. Box 6, 7500 AA Enschede, the Netherlands, currently at Univ. of California-Davis, Dep. of Agron. and Range Sci., 1 Shield Av., Davis, CA 95616-0515 USA
b Institut National de Recherche Agronomique du Niger (INRAN), B.P. 429, Niamey, Niger
c Dep. of Environ. Sci., Wageningen Agricultural Univ., P.O. Box 37, 6700 AA Wageningen, The Netherlands

View larger version (46K):
[in a new window]
|
Fig. 1 Results of a semiquantitative scoring at three dates for Plot 3. Scoring values ranged from 0 (no plants at all) to 8 (maximal aerial biomass). Results are presented using Thiessen Polygons
|
|

View larger version (12K):
[in a new window]
|
Fig. 2 Relationship between scoring value and yield (mean and standard deviation), measured per hill
|
|

View larger version (73K):
[in a new window]
|
Fig. 3 Interpolated yield estimates with position of (ac) shrubs and (df) interpolated relief
|
|

View larger version (41K):
[in a new window]
|
Fig. 4 The three sampling scheme for the three plots, superimposed on yield estimates. (ac) Scheme 1 optimized uniform spreading of the 27 observations over the plot, (df) Scheme 2 optimized coverage of the yield range, and (gi) Scheme 3 optimized coverage of the low-producing areas
|
|
Copyright © 2000 by the Soil Science Society of America.