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: Predicting Wheat Grain Yield and Quality Using Multitemporal and Multispectral UAS Imagery with Transformer Models (AGU25)

Predicting Wheat Grain Yield and Quality Using Multitemporal and Multispectral UAS Imagery with Transformer Models

Kushal Poudel1, Maitiniyazi Maimaitijiang1, Santosh Subedi1, Swas Kaushal2 and Sunish K. Sehgal2, (1)South Dakota State University, Geospatial Sciences Center of Excellence, Department of Geography and Geospatial Sciences, Brookings, United States, (2)South Dakota State University, Department of Agronomy, Horticulture, and Plant Science, Brookings, United States