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Found 6 papers, 1 papers with code
Risk-averse Stochastic Optimization for Farm Management Practices and Cultivar Selection Under Uncertainty
Optimizing management practices and selecting the best cultivar for planting play a significant role in increasing agricultural food production and decreasing environmental footprint.
Corn Yield Prediction with Ensemble CNN-DNN
Two scenarios for ensemble creation are considered: homogenous and heterogeneous ensembles.
Coupling Machine Learning and Crop Modeling Improves Crop Yield Prediction in the US Corn Belt
This study investigates whether coupling crop modeling and machine learning (ML) improves corn yield predictions in the US Corn Belt.
Forecasting Corn Yield with Machine Learning Ensembles
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.
A CNN-RNN Framework for Crop Yield Prediction
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
We asked: 1) How well do ML meta-models predict maize yield and N losses using pre-season information?
