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: Deep Learning-Based Prediction of Soil Organic Carbon Using Remote Sensing Data in an Intensively Farmed Agroecosystem: A Hindon Basin Case Study (AGU25)

Deep Learning-Based Prediction of Soil Organic Carbon Using Remote Sensing Data in an Intensively Farmed Agroecosystem: A Hindon Basin Case Study

Sai Bargav Reddy, Indian Institute of Technology Roorkee, Roorkee, India and Vinnarasi R, Indian Institute of Technology Roorkee, Civil Engineering Department, Roorkee, India
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