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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.LG2024★ 5 cited

Impact Assessment of Missing Data in Model Predictions for Earth Observation Applications

Francisco Mena, Diego Arenas, Marcela Charfuelan +2

Earth observation (EO) applications involving complex and heterogeneous data sources are commonly approached with machine learning models. However, there is a common assumption tha…