Statistical and machine learning methods evaluated for incorporating soil and weather into corn nitrogen recommendations

Curtis J. Ransom, Newell R. Kitchen, James J. Camberato, Paul R. Carter, Richard B. Ferguson, Fabián G. Fernández, David W. Franzen, Carrie A. M. Laboski, D. Brenton Myers, Emerson D. Nafziger, John E. Sawyer, John F. Shanahan. Statistical and machine learning methods evaluated for incorporating soil and weather into corn nitrogen recommendations. Computers and Electronics in Agriculture, 164, 2019. [doi]

@article{RansomKCCFFFLMN19,
  title = {Statistical and machine learning methods evaluated for incorporating soil and weather into corn nitrogen recommendations},
  author = {Curtis J. Ransom and Newell R. Kitchen and James J. Camberato and Paul R. Carter and Richard B. Ferguson and Fabián G. Fernández and David W. Franzen and Carrie A. M. Laboski and D. Brenton Myers and Emerson D. Nafziger and John E. Sawyer and John F. Shanahan},
  year = {2019},
  doi = {10.1016/j.compag.2019.104872},
  url = {https://doi.org/10.1016/j.compag.2019.104872},
  researchr = {https://researchr.org/publication/RansomKCCFFFLMN19},
  cites = {0},
  citedby = {0},
  journal = {Computers and Electronics in Agriculture},
  volume = {164},
}