Modeling the spatial distribution of crop sequences at a large regional scale using land-cover survey data: A case from France
Mining crop sequences in land survey dataset with hidden Markov models. Estimation of the crop sequence probabilities without a priori using survey data. District clustering based on the similarity of occurrence of crop sequences. Cluster description in terms of 21 groups belonging to four cropping systems.
crop sequences hidden markov models cropping systems cropping patterns agricultural land-use teruti survey