Modeling the spatial distribution of crop sequences at a large regional scale using land-cover survey data: A case from France

Computers and Electronics in Agriculture

Volumn 102, Issue , 2014, Pages 51-63

  Xiao, Ying ^a   Mignolet, Catherine ^a   Mari, Jean François ^b   Benoît, Marc ^a  

^a UR 055 INRA SAD ASTER   (France)

^b UNIVERSITÉ DE LORRAINE   (France)

Author keywords

Agricultural land use; Crop sequences; Cropping patterns; Cropping systems; Hidden Markov models; Teruti survey

Indexed keywords

DATA MINING; ENVIRONMENTAL IMPACT; HIDDEN MARKOV MODELS; LAND USE; SPATIAL DISTRIBUTION; SURVEYS; TOOLS;

AGRICULTURAL LAND-USE; AGRICULTURAL PRODUCTION SYSTEM; CROP SEQUENCES; CROPPING PATTERNS; CROPPING SYSTEMS; HIERARCHICAL CLUSTERING ANALYSIS; LAND MANAGEMENT PRACTICES; UNSUPERVISED CLUSTERING;

CROPS;

AGRICULTURAL POLICY; AGRICULTURAL PRACTICE; AGRICULTURAL TECHNOLOGY; CROPPING PRACTICE; HIERARCHICAL SYSTEM; LAND COVER; LAND MANAGEMENT; LAND USE CHANGE; MARKOV CHAIN; PROBABILITY; SPATIAL DISTRIBUTION; STOCHASTICITY;

FRANCE;

EID: 84893571707     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2014.01.010     Document Type: Article

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