Faculty Advisor

Li, Yanhua

Faculty Advisor

Venkatasubramanian, Krishna Kumar

Abstract

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.

Publisher

Worcester Polytechnic Institute

Date Accepted

January 2018

Major

Computer Science

Project Type

Major Qualifying Project

Accessibility

Restricted-WPI community only

Advisor Department

Computer Science

Available for download on Tuesday, January 19, 2021

Your accessibility may vary due to other restrictions.

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