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Li D, Miao Y, Ransom CJ, Bean GM, Kitchen NR, Fernández FG, Sawyer JE, Camberato JJ, Carter PR, Ferguson RB, et al. Corn Nitrogen Nutrition Index Prediction Improved by Integrating Genetic, Environmental, and Management Factors with Active Canopy Sensing Using Machine Learning. Remote Sensing. 2022; 14(2):394. https://doi.org/10.3390/rs14020394

Li, Dan, Yuxin Miao, Curtis J. Ransom, Gregory Mac Bean, Newell R. Kitchen, Fabián G. Fernández, John E. Sawyer, James J. Camberato, Paul R. Carter, Richard B. Ferguson, and et al. 2022. "Corn Nitrogen Nutrition Index Prediction Improved by Integrating Genetic, Environmental, and Management Factors with Active Canopy Sensing Using Machine Learning" Remote Sensing 14, no. 2: 394. https://doi.org/10.3390/rs14020394

Li, D., Miao, Y., Ransom, C. J., Bean, G. M., Kitchen, N. R., Fernández, F. G., Sawyer, J. E., Camberato, J. J., Carter, P. R., Ferguson, R. B., Franzen, D. W., Laboski, C. A. M., Nafziger, E. D., & Shanahan, J. F. (2022). Corn Nitrogen Nutrition Index Prediction Improved by Integrating Genetic, Environmental, and Management Factors with Active Canopy Sensing Using Machine Learning. Remote Sensing, 14(2), 394. https://doi.org/10.3390/rs14020394