Degree Type

Thesis

Date of Award

2020

Degree Name

Master of Science

Department

Agricultural and Biosystems Engineering

Major

Agriculture Engineering

First Advisor

Matthew J Darr

Abstract

Quantifying crop residue cover during tillage is important for ensuring the desired crop surface residue levels are achieved. Current methods of measuring crop residue cover is time consuming and labor intensive.

This research aims to test if 850nm and 905nm infrared light reflectance from commercially available light detection and ranging (LIDAR) sensors can be used to quantify corn residue coverage under agricultural conditions. LIDARs ability to distinguish corn residue from soil under different conditions of dust, ambient light intensity, moisture and angle of scan were tested. Results show that corn residue cover and soil can be differentiated by magnitude of reflectance of infrared light at both 850nm and 905nm. LIDAR is also robust enough to be used in different ambient light conditions. LIDAR reflectance measurement is however affected by incident angle (when scanning wet materials), and dust.

DOI

https://doi.org/10.31274/etd-20200624-86

Copyright Owner

Jia Wen Lee

Language

en

File Format

application/pdf

File Size

46 pages

Available for download on Thursday, June 16, 2022

Share

COinS