The deadline to submit a session, town hall, or pre-conference workshop proposal for AGU25 has passed. Please search for and review proposed sessions below. Please note this site is frozen as of 4/29/25 and will not reflect any changes to proposals made after this date.


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Abstract: Enhancing crop yield prediction through sub-grid mapping of C3/C4 solar-induced chlorophyll fluorescence (SIF) with deep learning (AGU25)

Enhancing crop yield prediction through sub-grid mapping of C3/C4 solar-induced chlorophyll fluorescence (SIF) with deep learning

Zhenqi Luo, Cornell University, School of Integrative Plant Science, Soil and Crop Sciences Section, Ithaca, NY, United States, OZ Kira, Ben-Gurion University of the Negev, Beer Sheva, Israel and Ying Sun, Cornell University, School of Integrative Plant Science, Ithaca, United States
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