Using data on humidity, soil nutrients, and temperature to train our machine learning model to give crop recommendations to farmers to plan their crop rotations to maximize crop yield and efficiently use their reasouces. This done through a web app that takes in information that farmers input and then takes those data inputs into our machine learning model hosted on Google Cloud that would output the crop recommendation.
Jian Jin Chen
Omobolaji Alabi
Rahel Kemal
Daniel Chen
Katie Bluth