Author
Bebongchu, Syntia NkemziIssue Date
2019Advisor
Redford, Gary
Metadata
Show full item recordPublisher
The University of Arizona.Rights
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.Abstract
This report is responsible for presenting a greenhouse smart watering (GrowSmart) system in critical detail. This document will also discuss the reason for such a design, design subassemblies and their functionality, design models and analysis, software algorithm, subassembly tests, and results. The scope of this project is to design, build and test a fully autonomous greenhouse watering system that utilizes a cloud database to interpret and write crop data. The purpose of the project is to simplify crop growth. Challenges with greenhouse systems involve intense labor and severe inconsistencies with the human component of crop watering. The GrowSmart system will monitor and record sensory feedback using a cloud-based data storage.Type
textElectronic Thesis
Degree Name
B.S.Degree Program
Honors CollegeElectrical Engineering
