Refining a Crop Classification Model: From Data Augmentation to Model Calibration

Pushing the boundaries in Remote Sensing for crop classification

Welcome back to the second part of our exciting journey into Remote Sensing and agricultural applications! In the first part, we discussed how to start any Machine Learning project, with a closer look at crop classification specifically. We showed that a Transformer model significantly outperforms traditional statistical models and their deep-learning peers.

In this second part of the blog post series, we will go deeper into the model optimization process …

agriculture artificial intelligence machine learning remote-sensing time-series-analysis