3D-ResNet-BiLSTM Model: A Deep Learning Model for County-Level Soybean Yield Prediction with Time-Series Sentinel-1, Sentinel-2 Imagery, and Daymet Data

3D-ResNet-BiLSTM Model: A Deep Learning Model for County-Level Soybean Yield Prediction with Time-Series Sentinel-1, Sentinel-2 Imagery, and Daymet Data

Ensuring food security in precision agriculture requires early prediction of soybean yield at various scales within the United States (U.S.), ranging from international to local levels. Accurate yield estimation is essential in preventing famine by providing insights into food availability during th...

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Bibliographic Details
Main Authors: Mahdiyeh Fathi, Reza Shah-Hosseini, Armin Moghimi
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Remote Sensing
Subjects:
soybean
yield prediction
Conv3D
ResNet
BiLSTM
Sentinel 1–2
Online Access:https://www.mdpi.com/2072-4292/15/23/5551

Internet

https://www.mdpi.com/2072-4292/15/23/5551

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