A generalized computer vision approach to mapping crop fields in heterogeneous agricultural landscapes
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文摘

Prevalence of smallholders requires new approach to mapping agriculture.

Efficient extraction of vast feature set combined with random forest classifier

High performance across smallholder and commercial agriculture in Sub-Saharan Africa

Greater performance gains from multi-temporal imagery than multi-spectral bands

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