智慧农业导刊2025，Vol.5Issue(8)：1-5,5.DOI:10.20028/j.zhnydk.2025.08.001
基于无人机多光谱技术的田间烟叶成熟度判别研究
摘要
Abstract
In order to accurately determine the maturity of tobacco leaves in the field based on drone multi-spectral technology,multi-spectral equipment mounted by drones was used to collect data on the maturity of tobacco leaves in tobacco fields at different periods.Spearman correlation analysis and mRMR method were used to screen out vegetation indices(RBRI,NDRE,GCI,ARVI)that were significantly related to tobacco field maturity.Subsequently,based on the screening results,a discriminant model for tobacco maturity in tobacco fields was constructed using random forest method.The research results show that drone multi-spectral technology can accurately capture the characteristics of tobacco maturity in the field.The accuracy rates of the training set and test set of the discriminant model reach 95.72%and 93.89%respectively.This research helps accurately grasp the best harvest opportunity of tobacco leaves,improves the quality of cured tobacco leaves,and provides new technical support for field agricultural monitoring and precise management.关键词
无人机多光谱/植被指数/烟叶成熟度判别/相关性分析/随机森林Key words
drone multispectral/vegetation index/tobacco maturity discrimination/correlation analysis/random forest分类
农业科学引用本文复制引用
胡心雨,叶惠源,向东,范伟,路英健,荀拾虎,陆晓静,易克..基于无人机多光谱技术的田间烟叶成熟度判别研究[J].智慧农业导刊,2025,5(8):1-5,5.基金项目
湖南中烟科技计划项目(KY2024XX0005) （KY2024XX0005）
