College

College of Engineering and Polymer Science

Date of Last Revision

2026-05-06 06:30:43

Major

Mechanical Engineering

Honors Course

MECE 460 - 003

Number of Credits

2

Degree Name

Bachelor of Science

Date of Expected Graduation

Spring 2026

Abstract

The AeroSense growing system is designed to make indoor aeroponic gardening easy and accessible for everyone. By combining sensors, automation, and AI, the system can monitor and adjust humidity, lighting, and nutrient levels to help plants thrive without requiring expert knowledge. The goal is to create a self-regulating garden that takes the guesswork out of growing fresh herbs and vegetables at home. The project involves building a working aeroponic prototype equipped with misters, pumps, and environmental sensors, all managed by a Raspberry Pi. Using computer vision and machine learning, AeroSense will be able to assess plant health and respond automatically to changing conditions. Work will begin with system design and circuit development in Fall 2025, followed by prototype construction in Winter, and AI training and optimization in Spring 2026. When complete, AeroSense will demonstrate how intelligent automation can make sustainable, space-efficient gardening simple, reliable, and available to anyone.

Research Sponsor

Yalin Dong

First Reader

Kai Kwon

Second Reader

Christopher Daniels

Honors Faculty Advisor

Scott Sawyer

Proprietary and/or Confidential Information

No

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