Off-campus South Dakota State University users: To download campus access theses, please use the following link to log into our proxy server with your South Dakota State University ID and password.

Non-South Dakota State University users: Please talk to your librarian about requesting this thesis through interlibrary loan.

Document Type

Thesis - University Access Only

Award Date

2003

Degree Name

Master of Science (MS)

Department

Agricultural and Biosystems Engineering

First Advisor

Daniel S. Humburg

Abstract

Remote sensing was used to model crop quality from measurements of canopy spectra. Three indices of canopy characteristics, derived from satellite image data, were tested for relationship to whole-field sugarbeet quality. Quality was quantified as recoverable sucrose per ton of harvested sugarbeets. Quality data were extracted from the year 2002 Field Database of the Southern Minnesota Beet Sugar Co-operative, (SMBSC), Renville, Minnesota. Linear regression models utilizing canopy indices and changes in canopy indices over time were tested for relationship to sugarbeet quality for four classes of sugarbeets. Classes of sugarbeet tested represented fields planted to a mix of varieties resistant to the disease rhizomania, conventional varieties, and two pure strains. Linear regression models using individual indices for the fields planted to mixed conventional varieties and to a pure strain, B4811, showed statistical significance. Models using temporal changes in individual indices also showed statistical correlation. The trends of regression lines were meaningful in understanding variation of sugarbeet harvest quality with changes in canopy indices on two different single dates. Multiple linear regression models utilizing changes in individual indices over different time intervals also indicated significant correlations for a mixed conventional class and the B4811 variety. The trends in indices over time suggest that fields showing greater decline in indices can be classified as having higher recoverable sucrose content. The study suggests remotely sensed canopy spectral variations using satellite images, and sugarbeet quality variation may be used to develop models to relate quality to canopy indices. However, a larger sample size may be necessary, and additional information regarding fields with pronounced disease or population problems will be necessary to minimize scatter in the data used to develop models.

Library of Congress Subject Headings

sugar beet
quality
plant canopies
remote sensing
precision farming

Description

Includes bibliographical references (68-73)

Format

application/pdf

Number of Pages

87

Publisher

South Dakota State University

Rights

Copyright © 2003 Subodh Kulkarni. All rights reserved

Share

COinS