APA (7th ed.) Citation

Fathi, M., Shah-Hosseini, R., Moghimi, A., & Arefi, H. MHRA-MS-3D-ResNet-BiLSTM: A Multi-Head-Residual Attention-Based Multi-Stream Deep Learning Model for Soybean Yield Prediction in the U.S. Using Multi-Source Remote Sensing Data. MDPI AG.

Chicago Style (17th ed.) Citation

Fathi, Mahdiyeh, Reza Shah-Hosseini, Armin Moghimi, and Hossein Arefi. MHRA-MS-3D-ResNet-BiLSTM: A Multi-Head-Residual Attention-Based Multi-Stream Deep Learning Model for Soybean Yield Prediction in the U.S. Using Multi-Source Remote Sensing Data. MDPI AG.

MLA (9th ed.) Citation

Fathi, Mahdiyeh, et al. MHRA-MS-3D-ResNet-BiLSTM: A Multi-Head-Residual Attention-Based Multi-Stream Deep Learning Model for Soybean Yield Prediction in the U.S. Using Multi-Source Remote Sensing Data. MDPI AG.

Warning: These citations may not always be 100% accurate.