Effective-identification-of-Nitrogen-Fertilizer-demand-for-Paddy-Cultivation-using-UAVs

This work is intended to automate the manual process of identifying Nitrogen fertilizer demand for paddy cultivation using an image processing based Machine Learning approach

The system provides following software deliverables :

- A mobile application for the Aggricultural officers and farmers
- An API for the services related to making predictions using machine learning component
- Web applications for the admin and aggricultural office