Precision agriculture is based on spatial knowledge of soil and crop condit
ions in the management decisions. In this paper, a method to improve determ
ination of soil physical properties is proposed. Current practice is to ana
lyse soil samples, taken at several locations in a field, for physical prop
erties. To obtain a sound coverage, many soil samples have to be analysed.
When soil properties are correlated, it is possible to reduce the number of
soil samples of one property and enhance its spatial resolution with the i
nformation of another, more densely sampled, property. In this study, infor
mation gathered automatically during the major soil tillage operation, plou
ghing, is used to improve the spatial resolution of sampled topsoil clay co
ntent.
Plough draught was measured during two seasons on a 6 ha field. The specifi
c plough draught varied between 30 and 50 kNm(-2). Clay content varied betw
een 6 and 22% and topsoil moisture content range was 120-240g kg(-1) during
the first year and 180-300g kg(-1) in the second year. The specific plough
draught maps of both years showed a similar spatial pattern with a cross c
orrelation coefficient at zero distance of 0.6.
The use of specific plough draught as co-variable in the co-kriging techniq
ue made it possible to decrease the number of topsoil clay content samples
from 60 to 18 ha(-1) with only 20% increase in prediction error. On this fi
eld, the spatial variation in top soil clay content was correlated with the
spatial variation of the crop yield. (C) 2001 Silsoe Research Institute.