Original paper

Assessment of wheat chlorophyll content by the multiple linear regression of leaf image features

Volume: 8, Issue: 2, Pages: 232 - 243
Published: Jun 1, 2021
Abstract
The measurement of crop nutrition is considerably significant in agricultural practices, especially in the application of mechanized variable rate fertilization. Feature extraction and model building are two important links in crop nutrition measurement by digital image. In this paper, a feature set of fusion multi-colour space in field prototype is extracted and an evaluation approach using stepwise-based ridge regression (SBRR) that uses...
Paper Details
Title
Assessment of wheat chlorophyll content by the multiple linear regression of leaf image features
Published Date
Jun 1, 2021
Volume
8
Issue
2
Pages
232 - 243
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