most citedSmall, Sparse, but Substantial: Techniques for Segmenting Small Agricultural Fields Using Sparse Ground Data

20 citations · 20 across the 1 of their papers we have counts for

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1 paper

cs.CV2020★ 20 cited

Small, Sparse, but Substantial: Techniques for Segmenting Small Agricultural Fields Using Sparse Ground Data

Smit Marvaniya, Umamaheswari Devi, Jagabondhu Hazra +2

The recent thrust on digital agriculture (DA) has renewed significant research interest in the automated delineation of agricultural fields. Most prior work addressing this problem…