Climate change and soil erosion have impacted our potential for growing our own food. This, combined with the explosive urbanization of the capitals have pushed people to find new and innovative ways to grow their own food to give back to the planet and reduce their carbon footprint. One such way of achieving this is by growing a vertical aeroponic garden in their homes. This research proposes a methodology backed by multiple simulations on how to automate the process of growing crops through the help of multiple sensors and machine learning models which provide feedback and real time data to the user. This simulation compares a raised bed to a vertical garden, concluding a reduce of 76% of water usage, 90% land reduction and 95% reduction of carbon emissions with a yield of 10 lb of food.