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: Low-Light Classification of Recyclable Waste inside Bins: A Cross-Lighting Evaluation of Convolutional Neural Network Architectures (AGU25)

Low-Light Classification of Recyclable Waste inside Bins: A Cross-Lighting Evaluation of Convolutional Neural Network Architectures

Satvik Seetharaman, Saint Louis University’s Earth, Environmental and Geospatial Science Department, St. Louis, MO, UNITED STATES and Orhun Aydin, Saint Louis University, Earth, Environmental and Geospatial Science, Saint Louis, United States
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