Awards issued prior to january 20, 2025, were funded under previous administrations and may not reflect the priorities and policies of the current administration.** this project aims to acquirie a…

Awards issued prior to january 20, 2025, were funded under previous administrations and may not reflect the priorities and policies of the current administration.** this project aims to acquirie a shared cyber airborne hyperspectral imaging system (ahsis) to enhance collaborative research capacity in artificial intelligence (AI)-enabled agriculture at 11 collaborative institutions in the region. The ahsis will support 21 researchers in multiple disciplines to acquire, process, and analyze high-volume, high-resolution and full-spectrum (400 - 2,500 NM) hyperspectral imagery data of crops. The integrated advanced hyperspectral imager and high-performance computing (HPC) system will provide a shared testbed to identify crop secrets and discover the insights of interactions between crop genotype, environment, and management (g & times; e & times; m). The project aims to enable and enhance the fundamental and applied research and extension activities in AI-enabled agriculture. The ahsis will initially support six multidisciplinary research and extension projects in crop breeding and genetics, soil health and crop management (including forage), and AI innovation. The airborne full-spectral imaging system is expected to greatly enhance the capacity to identify novel crop traits for accurately selecting superior crop genotypes (varieties) and distinguishing crop response to different stresses. We will also utilize the ahsis and the collaborating network to develop a shared spectral database for different crops under different environments. The large-volume hyperspectral imagery data, crop genomic data and associated crop data will provide an ideal dataset for developing use-inspired AI innovations. The ahsis will be accessed by 200+ postdocs, graduate and undergraduate students through research, teaching and training activities. The project aligns with the EGP goal of increasing access to shared special purpose equipment for scientific research in the food and agricultural sciences programs.