| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4376653 | Ecological Modelling | 2012 | 7 Pages |
Abstract
⺠Accurate mapping of weeds in arable fields helps to better understand dynamics of weed population. ⺠We build a spatial hierarchical Bayesian model to interpolate weed spatial distributions. ⺠The model includes as input data several types of weed measurements. ⺠Combining multi-type data leads to more accurate weed mapping.
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Authors
A. Bourgeois, S. Gaba, N. Munier-Jolain, B. Borgy, P. Monestiez, S. Soubeyrand,