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20192024
most citedPredicting Crop Yield With Machine Learning: An Extensive Analysis Of Input Modalities And Models On a Field and sub-field Level

16 citations · 30 across the 5 of their papers we have counts for

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cs.CV2023★ 16 cited

Predicting Crop Yield With Machine Learning: An Extensive Analysis Of Input Modalities And Models On a Field and sub-field Level

Deepak Pathak, Miro Miranda, Francisco Mena +11

We introduce a simple yet effective early fusion method for crop yield prediction that handles multiple input modalities with different temporal and spatial resolutions. We use hig…

cs.CV2023★ 4 cited

A Comparative Assessment of Multi-view fusion learning for Crop Classification

Francisco Mena, Diego Arenas, Marlon Nuske +1

With a rapidly increasing amount and diversity of remote sensing (RS) data sources, there is a strong need for multi-view learning modeling. This is a complex task when considering…