612 citations · 1.6k across the 6 of their papers we have counts for
6 papers
Risk-averse Stochastic Optimization for Farm Management Practices and Cultivar Selection Under Uncertainty
Faezeh Akhavizadegan, Javad Ansarifar, Lizhi Wang +1
Optimizing management practices and selecting the best cultivar for planting play a significant role in increasing agricultural food production and decreasing environmental footpri…
Corn Yield Prediction with Ensemble CNN-DNN
Mohsen Shahhosseini, Guiping Hu, Saeed Khaki +1
We investigate the predictive performance of two novel CNN-DNN machine learning ensemble models in predicting county-level corn yields across the US Corn Belt (12 states). The deve…
Coupling Machine Learning and Crop Modeling Improves Crop Yield Prediction in the US Corn Belt
Mohsen Shahhosseini, Guiping Hu, Sotirios V. Archontoulis +1
This study investigates whether coupling crop modeling and machine learning (ML) improves corn yield predictions in the US Corn Belt. The main objectives are to explore whether a h…
Forecasting Corn Yield with Machine Learning Ensembles
Mohsen Shahhosseini, Guiping Hu, Sotirios V. Archontoulis
The emerge of new technologies to synthesize and analyze big data with high-performance computing, has increased our capacity to more accurately predict crop yields. Recent researc…
A CNN-RNN Framework for Crop Yield Prediction
Saeed Khaki, Lizhi Wang, Sotirios V. Archontoulis
Crop yield prediction is extremely challenging due to its dependence on multiple factors such as crop genotype, environmental factors, management practices, and their interactions.…
Maize Yield and Nitrate Loss Prediction with Machine Learning Algorithms
Mohsen Shahhosseini, Rafael A. Martinez-Feria, Guiping Hu +1
Pre-season prediction of crop production outcomes such as grain yields and N losses can provide insights to stakeholders when making decisions. Simulation models can assist in scen…