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Document Type

Thesis - University Access Only

Award Date


Degree Name

Master of Science (MS)

Department / School

Agricultural and Biosystems Engineering

First Advisor

Daniel S. Humburg


Precision farming has been shown to have a very important role in farm activities. Remote sensing techniques have the potential to provide quantitative and timely information on agricultural crops over large areas. In agricultural planning and policy making knowledge of crop yield is very important. However, for sugar beets, sugar content and other beet properties also directly affect economic benefits. This research investigated the relationship between the spectral characteristics of the sugar beet canopy in the visible and near-infrared bands and the sugar content and quality properties. The analysis results from an experiment conducted in 1996 are presented in this paper. The study revealed that sugar content, sodium, and harmful amino nitrates are statistically significant, to normalized difference vegetation index (NDVI) and spectral information from several individual bands. Using these results, a simple linear regression and multiple linear regression were performed to derive estimate models for sugar content and other related properties. Correlations between the spectral measures and the sugar properties were not high enough to provide an adequate predictive relationships for mapping of sugar content.

Library of Congress Subject Headings

sugar beet
spectral reflectance
precision farming
plant canopies
remote sensing


Includes bibliographical references (70-73)



Number of Pages



South Dakota State University


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