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Abstract: Bayesian Autoencoder-Based Cotton Canopy Cover Estimation from Satellite Imagery Using UAV-Derived Latent Space Learning (AGU25)

Bayesian Autoencoder-Based Cotton Canopy Cover Estimation from Satellite Imagery Using UAV-Derived Latent Space Learning

Lei Zhao1, Ashutosh Tiwari1, Sayantan Sarkar2, Scott Jose L Landivar3, Juan Landivar-Bowles4 and Mahendra Bhandari5, (1)Texas A&M AgriLife Research and Extension Center at Corpus Christi, Corpus Christi, United States, (2)Texas A&M University College Station, College Station, United States, (3)Texas A&M AgriLife Research Center, Corpus Christi, Corpus Christi, United States, (4)Texas A&M AgriLife Research, College Station, United States, (5)Texas A&M AgriLife, Corpus Christi, Washington, United States
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