Agricultural Bioinformatics › Remote Sensing & Genomic Data Fusion Studies
Hyperspectral Imaging Coupled with Transcriptomic Expression Profiling
This study examines the integration of high-resolution hyperspectral imagery with RNA-sequencing data to decode real-time gene expression patterns underlying crop stress responses and metabolic pathways. The discovery enables predictive modeling of plant physiological states from remote sensing signatures, advancing early detection of biotic and abiotic stresses.
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