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AI-powered UAV remote sensing for drought stress phenotyping: Automated chlorophyll estimation in individual plants using deep learning and instance segmentation

Zhuhao Shen, Huichun Zhang, Liming Bian, Lei Zhou, Qifei Tian, Yufeng Ge

2025Expert Systems with Applications6 citationsDOI

Topics & Concepts

Multispectral imageRemote sensingPrecision agricultureComputer scienceArtificial intelligenceDeep learningArtificial neural networkSegmentationMachine learningEnvironmental scienceChlorophyllTree (set theory)Remote sensing applicationChlorophyll aRGB color modelSupport vector machineRandom forestNormalized Difference Vegetation IndexConvolutional neural networkVegetation (pathology)SatelliteWater stressSensor fusionDrought stressSatellite imageryRemote Sensing in AgricultureSmart Agriculture and AILeaf Properties and Growth Measurement
AI-powered UAV remote sensing for drought stress phenotyping: Automated chlorophyll estimation in individual plants using deep learning and instance segmentation | Litcius