Irrigation IoT Analytics

Authors

• Taylor DeMint, University of Nebraska-LincolnFollow
• Dean Ziegelman, University of Nebraska - Lincoln
• Steven Silgado, University of Nebraska-LincolnFollow
• Ayush Mishra, University of Nebraska-LincolnFollow
• Jacob Morrow, University of Nebraska-LincolnFollow

Date of this Version

5-2021

Document Type

Thesis

Citation

DeMint, Taylor & Ziegelman, Dean & Silgado, Steven & Mishra, Ayush & Morrow, Jacob. 2021. Irrigation IoT Analytics. Undergraduate Honors Thesis. University of Nebraska-Lincoln.

Comments

Copyright Taylor DeMint & Dean Ziegelman & Steven Silgado & Ayush Mishra & Jacob Morrow 2021

Abstract

The goal of the Design Studio project was to develop a tool for generating machine analytics on Valmont irrigation equipment. The team was tasked with interviewing customers and exploring the Valley 365 database to refine the project scope, create a report generation system, and develop machine learning models to troubleshoot and predict on key areas.