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.


Conveners will be contacted by the AGU25 Program Committee with any requests for mergers or edits to proposals. Conveners will be notified of the acceptance of their proposal in mid-June.


Abstract submissions will also open in mid-June and the deadline for abstract submissions is 30 July, 2025.


Please visit the AGU25 website for more information or please contact AGU with any questions.

Abstract: In-Season Crop Growth Forecasting Using Satellite Imagery and Context-Aware Deep Learning (AGU25)

In-Season Crop Growth Forecasting Using Satellite Imagery and Context-Aware Deep Learning

Ramana Heggadal Math1, Saransh Agrawal2, Phanender Chalasani2, Ashutosh Tiwari3, Lei Zhao3, Benjamin Ghansah4, Scott Jose L Landivar5, Juan Landivar-Bowles6 and Mahendra Bhandari7, (1)Texas A&M AgriLife Research, College Station, Texas, UNITED STATES, (2)Texas A&M University, College Station, United States, (3)Texas A&M AgriLife Research and Extension Center at Corpus Christi, Corpus Christi, United States, (4)Texas A&M University Corpus Christi, Corpus Christi, TX, United States, (5)Texas A&M AgriLife Research Center, Corpus Christi, Corpus Christi, United States, (6)Texas A&M AgriLife Research, College Station, United States, (7)Texas A&M AgriLife, Corpus Christi, Washington, United States
<< Previous Abstract | Next Abstract >>