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1
Detection of biotic and abiotic stresses in crops by using hierarchical self organizing classifiers
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2
Simultaneous identification of plant stresses and diseases in arable crops using proximal optical sensing and self-organising maps
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Machine Learning Feature Selection Methods for Landslide Susceptibility Mapping
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Point process-based modeling of multiple debris flow landslides using INLA: an application to the 2009 Messina disaster
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6
Ordinary kriging for function-valued spatial data
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7
Optimal sampling for spatial prediction of functional data - Statistical Methods & Applications
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