Digital Phenotyping and Remote Sensing
– Quantifying crop photosynthesis and physiological status using sun-induced chlorophyll fluorescence (SIF), hyperspectral reflectance, and NIRv.
– Monitoring LAI, chlorophyll content, crop growth, and stress through integrated satellite, drone, ground-sensor, and high-resolution time-series data.
– Developing early detection methods for heat, drought, disease, and canopy-structure changes in rice, soybean, and maize.
– Assessing fine-scale crop physiological dynamics related to plant competition, planting density, and leaf-angle distribution.
