Funder
National Science Foundation
National Institute of Food and Agriculture
Publisher
Springer Science and Business Media LLC
Subject
Control and Optimization,Business, Management and Accounting (miscellaneous)
Reference24 articles.
1. Abdelbaky, I., Tayara, H., Chong, K.T.: Prediction of kinase inhibitors binding modes with machine learning and reduced descriptor sets. Sci. Rep. 11(1), 1–13 (2021)
2. Aimin, H.: Uncertainty, risk aversion and risk management in agriculture. Agric. Agric. Sci. Procedia 1, 152–156 (2010)
3. Archontoulis, S.V., Castellano, M.J., Licht, M.A., Nichols, V., Baum, M., Huber, I., Martinez-Feria, R., Puntel, L., Ordóñez, R.A., Iqbal, J., et al.: Predicting crop yields and soil-plant nitrogen dynamics in the US Corn Belt. Crop Sci. 60(2), 721–738 (2020)
4. Ay, D.S., Ryan, S.M.: Observational data-based quality assessment of scenario generation for stochastic programs. Comput. Manag. Sci. 16(3), 521–540 (2019)
5. Breiman, L.: Random forests. Mach. Learn. 45(1), 5–32 (2001)