Using AI and Machine Learning for Advanced Crop Mapping

This section introduces you to the basics of AI and ML, emphasizing their critical role in addressing environmental challenges. You’ll explore how machine learning, particularly neural networks, can be leveraged for crop mapping by recognizing patterns in satellite images. These algorithms, modeled after the brain’s structure, use interconnected neurons to identify different land covers and crop types.

You’ll gain insights into the basic concepts, the scope of application, and the potential for sustainability. By the end of Module 1, you’ll understand how AI and ML can significantly enhance the accuracy and efficiency of crop monitoring and management, contributing to more sustainable agricultural practices.

Begin by going through the presentation slides carefully to grasp the fundamentals of AI and ML, their significance, and how they are applied in the context of environmental sustainability.