In this article I present a project on crop yield prediction and irrigation optimization using deep learning techniques.
Deep learning is a powerful method for multivariate analysis, especially when working with complex data sets with many variables. This technique can capture intricate patterns in the data, providing a robust solution for problems involving multiple factors and interactions.
The purpose of this project is to provide a complete example of how to apply Deep learning in a practical scenariostep by step, covering everything from data preparation to model building and evaluation.
We will do it Explore each stage together, focusing on strategic decisions and technical justifications that support model development.
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Data Dictionary:
The data we work with in this project is fictitious and was created to demonstrate how…
