Venkatasubramanian, Krishna Kumar
Indoor hydroponic farming has become an industry changing technology that has allowed for crop growth in areas of the world where it would never be expected before. Freight Farms’ Leafy Green Machine allows for farmers to grow crops throughout the year by controlling the climate inside the farm. However, the farm is not able to predict how the climate of the farm will change based on its current sensor readings and equipment states. To allow the farmer to see how the farm will behave in the future, machine learning algorithms can utilize these readings and states to predict the future climate readings, notifying the farmer of any harmful changes. This project seeks to build a predictive machine learning model to add further measures to the Leafy Green Machine’s self-sustaining climate.
Worcester Polytechnic Institute
Major Qualifying Project
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