Classification rule table for phenotypic characteristics of wild sugarcane (in cm).

<p>Classification rule table for phenotypic characteristics of wild sugarcane (in cm).</p>

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Bibliographic Details
Main Author:	Jihong Sun (344786) (author)
Other Authors:	Chen Sun (177008) (author), Zhaowen Li (3727747) (author), Ye Qian (7400186) (author), Tong Li (206968) (author)
Published:	2024
Subjects:	Genetics Ecology Developmental Biology Plant Biology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified significant phenotypic traits remote sensing technology global food security experimental findings indicate crucial phenotypic traits machine learning algorithms specialized data environment new sugarcane varieties indirect yield prediction xgboost algorithm outperforms task </ p specifically plant height determine sugarcane yield intelligent model ensemble xgboost algorithm plant height overall yield seven algorithms prediction method intelligent models prepared data data pertaining sugarcane cross xlink "> valuable reference ultimately enhancing stem diameter research gap research demonstrates random forest profound impact node length nearest neighbors logistic regression linear regression leaf width incorporating self field brix
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