About this document
Machine Learning for Crop Yield Prediction by sah352060 is a document available to read on EtoBox.
This document outlines a project aimed at developing a robust machine learning model for accurate crop yield prediction across diverse geographical regions and environmental conditions. It highlights the limitations of current models, such as domain shifts and lack of external validation, and proposes a methodology that includes data collection, preprocessing, model training, and evaluation. The project aligns with the United Nations Sustainable Development Goals by promoting sustainable agriculture and inn
- Author
- sah352060
- Language
- EN