2 research outputs found
A nonparametric analysis of the spatial distribution of Convolvulus arvensis in wheat-sunflower rotations
11 pages; 6 figures.This article describes an application of nonparametric regression to study the spatial structure and identify
persistent spatial patterns of the perennial weed Convolvulus arvensis L. in 4 years of wheat-sunflower crop
rotation in Southern Spain. The annual spatial distributions of weed patches over the study field are estimated
using local linear regression. These are then used to delimit areas whose infestation is above an economic
threshold. In order to identify the areas at the highest risk of weed infestation across years, a multi-year index is
developed and mapped. A parametric bootstrap is used to quantify the variability of the multi-year map. In a
precision agriculture environment, such maps can be a useful component of a long-term weed management
strategy.Grant PGIDIT03PXIC10505PN and MEC Grant
MTM2005-00429 (ERDF included). The research CICYT-FEDER project (AGL2005-06180-CO3-02)Peer reviewe