Ronlin1/AgriGeoSustain

Utilizing Geospatial Data to Improve Agricultural Sustainability in Uganda. # ug_food_prediction Utilizing Geospatial Data to Improve Agricultural Sustainability in Uganda. ### Introduction This project focuses on leveraging geospatial data to enhance agricultural sustainability in Uganda. By combining geospatial information with data-driven insights, we aim to improve food security, production and agricultural practices in the region. ### Key Objectives - **Data Analysis:** Analyze geospatial data to gain a deeper understanding of the agricultural landscape in Uganda. - **Predictive Models:** Develop predictive models that can assist farmers in making informed decisions about crop planting and harvest timings. - **Sustainability:** Promote sustainable farming practices that can help conserve resources and protect the environment. ### Features - Geospatial Data Processing - Machine Learning Models - Interactive Data Visualization ## Getting Started Follow these instructions to get a copy of the project up and running on your local machine for development and testing purposes. 1)