Satellite-based soybean yield prediction in Argentina: A comparison between panel regression and deep learning methods

Yuhao Wang, Kuishuang Feng, Laixiang Sun, Yiqun Xie, Xiao-Peng Song

Abstract: Highlights•A crop yield predicting model for promoting sustainable production and facilitating local stakeholder decision-making.•LSTM with Attention model can perform well better than panel regression but falls short when trained with small dataset.•Departmental series of peak NDVI images were effective for early soybean yield prediction.•Deep learning models showed superior generalization, predicting well on new, unseen data.