Litcius/Paper detail

An explainable XGBoost model improved by SMOTE-ENN technique for maize lodging detection based on multi-source unmanned aerial vehicle images

Liang Han, Guijun Yang, Xiaodong Yang, Xiaoyu Song, Bo Xu, Zhenhai Li, Jintao Wu, Hao Yang, Jianwei Wu

2022Computers and Electronics in Agriculture91 citationsDOI

Topics & Concepts

Computer scienceArtificial intelligenceIdentification (biology)OversamplingPattern recognition (psychology)Machine learningRemote sensingGeographyBotanyBandwidth (computing)Computer networkBiologyRemote Sensing in AgricultureAir Quality Monitoring and ForecastingRemote Sensing and LiDAR Applications
An explainable XGBoost model improved by SMOTE-ENN technique for maize lodging detection based on multi-source unmanned aerial vehicle images | Litcius