Degree Type

Thesis

Date of Award

2020

Degree Name

Master of Science

Department

Agricultural and Biosystems Engineering

Major

Industrial and Agricultural Technology

First Advisor

Dirk E Maier

Abstract

Several methods are available for stored grain monitoring such as manual grain inspection, acoustical sensors, carbon dioxide sensors, and moisture and temperature cable sensors. All of these have constraints that prevent them from being effective stored grain monitoring technologies. The overall objective of this research was to test whether novel wireless sensor technology can overcome existing constraints and can be used for effective, reliable and automated stored grain monitoring. This objective was achieved by (1) determining the accuracy and reliability of novel wireless sensors, (2) comparing the effectiveness of the novel wireless sensor technology against a conventional cable-based sensor system, (3) determining the distribution and recovery of brick and spherical shaped wireless sensors during the filling and unloading operation of stored grain silos, and (4) determining the number of sensors needed to achieve sufficient reliability for aeration cooling during the fall harvest period and monitoring of stored grain quality during the non-aerated storage period.

DOI

https://doi.org/10.31274/etd-20200902-0

Copyright Owner

Guy Roger Aby

Language

en

File Format

application/pdf

File Size

204 pages

Share

COinS