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  • Presentation | B21M: Data-Driven Agriculture: Remote Sensing and Machine Learning Solutions for Food Security I Poster
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  • B21M-1813: Towards Scalable Vineyard Mapping: Grape Type Classification from Hyperspectral Imagery and AI
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  • Board 1813‚ Hall EFG (Poster Hall)
    NOLA CC
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Author(s):
Landon Kauer, Chapman University (First Author, Presenting Author)
Thomas Piechota, Chapman University
Hagop Atamian, Chapman University


This research uses satellite data from NASA to help identify what kind of grapes are growing in vineyards, like Cabernet Sauvignon or Chardonnay, using machine learning. It’s part of a larger effort to make farming more efficient and better prepared for droughts in California.



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