Remove 2015 Remove Cross Validation Remove Data Engineering
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Build a crop segmentation machine learning model with Planet data and Amazon SageMaker geospatial capabilities

AWS Machine Learning Blog

Our results reveal that the classification from the KNN model is more accurately representative of the state of the current crop field in 2017 than the ground truth classification data from 2015. In this example, we settle for the imperfect 2-year gap between the ground truth data and satellite imagery.