Table 1_Intelligent grading of sugarcane leaf disease severity by integrating physiological traits with the SSA-XGBoost algorithm.xlsx

Table 1_Intelligent grading of sugarcane leaf disease severity by integrating physiological traits with the SSA-XGBoost algorithm.xlsx

Introduction<p>Accurate assessment of sugarcane leaf disease severity is crucial for early warning and effective disease control. </p>Methods<p>In this study, we propose an intelligent method for identifying sugarcane foliar disease severity based on physiological traits. Field-col...

Full description

Saved in:
Bibliographic Details
Main Author: Xinrui Wang (488330) (author)
Other Authors: Jihong Sun (344786) (author), Peng Tian (119465) (author), Mengyao Wu (808514) (author), Jiawei Zhao (363439) (author), Jiangquan Chen (22434979) (author), Ye Qian (7400186) (author), Canyu Wang (22434982) (author)
Published: 2025
Subjects:
Plant Biology
sugarcane leaf diseases
disease severity grading
physiological traits
machine learning classification
hyperparameter optimization
Tags: Add Tag
No Tags, Be the first to tag this record!
Be the first to leave a comment!
You must be logged in first

Similar Items