The idealcrop system

Abstract

This report is for the implementation of the IdealCrop System, from its design to completion. It is a web-based machine learning application that provides a service to farmers or farm managers, enabling them to make informed decisions on crop selection and care, and crop variety options to choose from while considering climatic factors, NPK soil nutrients, and best crop yield on a Ugandan district level.