Using AI and Machine Learning for Advanced Crop Mapping

This section guides you through the process of training machine learning models for land cover classification and crop mapping. You’ll learn the complete model training workflow through detailed slides and engage in practical exercises using Google Colab and Vertex AI. These exercises cover training models, creating inferences, and deploying fitted models for real-world environmental analysis. By the end, you’ll have both the theoretical understanding and hands-on experience needed to develop and deploy effective machine learning solutions for crop mapping and environmental sustainability.