Corn Nitrogen Nutrition Index Prediction Improved by Integrating Genetic, Environmental, and Management Factors with Active Canopy Sensing Using Machine Learning von Li, Dan, Miao, Yuxin, Ransom, Curtis J., Bean, Gregory Mac, Kitchen, Newell R., Fernández, Fabián G., Sawyer, John E., Camberato, James J., Carter, Paul R., Ferguson, Richard B., Franzen, David W., Laboski, Carrie A. M., Nafziger, Emerson D., Shanahan, John F.

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Evaluating Critical Nitrogen Dilution Curves for Assessing Maize Nitrogen Status across the US Midwest von Shao, Hui, Miao, Yuxin, Fernández, Fabián G., Kitchen, Newell R., Ransom, Curtis J., Camberato, James J., Carter, Paul R., Ferguson, Richard B., Franzen, David W., Laboski, Carrie A. M., Nafziger, Emerson D., Sawyer, John E., Shanahan, John F.

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Use of chlorophyll fluorescence assessments to differentiate corn hybrid response to variable water conditions von O'Neill, P.M, Shanahan, J.F, Schepers, J.S

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Use of Remote‐Sensing Imagery to Estimate Corn Grain Yield von Shanahan, John F., Schepers, James S., Francis, Dennis D., Varvel, Gary E., Wilhelm, Wallace W., Tringe, James M., Schlemmer, Mike R., Major, David J.

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

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Active Sensor Algorithm for Corn Nitrogen Recommendations Based on a Chlorophyll Meter Algorithm von Solari, Fernando, Shanahan, John F, Ferguson, Richard B, Adamchuk, Viacheslav I

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Appropriateness of management zones for characterizing spatial variability of soil properties and irrigated corn yields across years von SCHEPERS, Aaron R, SHANAHAN, John F, LIEBIG, Mark A, SCHEPERS, James S, JOHNSON, Sven H, LUCHIARI, Ariovaldo JR

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Downscaling Landsat 7 canopy reflectance employing a multi-soil sensor platform von Scudiero, Elia, Corwin, Dennis L, Wienhold, Brian J, Bosley, Bruce, Shanahan, John F, Johnson, Cinthia K

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Agronomic responses of corn hybrids from different eras to deficit and adequate levels of water and nitrogen von O'Neill, P.M, Shanahan, J.F, Schepers, J.S, Caldwell, B

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Field‐Scale Electrical Conductivity Mapping for Delineating Soil Condition von Johnson, Cinthia K., Doran, John W., Duke, Harold R., Wienhold, Brian J., Eskridge, Kent M., Shanahan, John F.

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Relationships between Soil-Based Management Zones and Canopy Sensing for Corn Nitrogen Management von Roberts, Darrin F, Ferguson, Richard B, Kitchen, Newell R, Adamchuk, Viacheslav I, Shanahan, John F

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Site-Specific Management Zones Based on Soil Electrical Conductivity in a Semiarid Cropping System von Johnson, C.K, Mortensen, D.A, Wienhold, B.J, Shanahan, J.F, Doran, J.W

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Optimization of Crop Canopy Sensor Placement for Measuring Nitrogen Status in Corn von Roberts, Darrin F., Adamchuk, Viacheslav I., Shanahan, John F., Ferguson, Richard B., Schepers, James S.

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Soil health considerations for global food security von Bagnall, Dianna K., Shanahan, John F., Flanders, Archie, Morgan, Cristine L.S., Honeycutt, C. Wayne

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Reduction of High Soil Test Phosphorus by Corn and Soybean Varieties von Eghball, Bahman, Shanahan, John F., Varvel, Gary E., Gilley, John E.

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Corn nitrogen rate recommendation tools’ performance across eight US midwest corn belt states von Ransom, Curtis J., Kitchen, Newell R., Camberato, James J., Carter, Paul R., Ferguson, Richard B., Fernández, Fabián G., Franzen, David W., Laboski, Carrie A. M., Nafziger, Emerson D., Sawyer, John E., Scharf, Peter C., Shanahan, John F.

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Application of Machine Learning Methodologies for Predicting Corn Economic Optimal Nitrogen Rate von Qin, Zhisheng, Myers, D. Brenton, Ransom, Curtis J., Kitchen, Newell R., Liang, Sang‐Zi, Camberato, James J., Carter, Paul R., Ferguson, Richard B., Fernandez, Fabian G., Franzen, David W., Laboski, Carrie A.M., Malone, Brad D., Nafziger, Emerson D., Sawyer, John E., Shanahan, John F.

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Weather and soil in the US Midwest influence the effectiveness of single‐ and split‐nitrogen applications in corn production von Clark, Jason D., Fernández, Fabián G., Camberato, James J., Carter, Paul R., Ferguson, Richard B., Franzen, David W., Kitchen, Newell R., Laboski, Carrie A. M., Nafziger, Emerson D., Sawyer, John E., Shanahan, John F.

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Combining corn N recommendation tools for an improved economical optimal nitrogen rate estimation von Ransom, Curtis J., Kitchen, Newell R., Camberato, James J., Carter, Paul R., Ferguson, Richard B., Fernández, Fabián G., Franzen, David W., Laboski, Carrie A. M., Myers, David Brenton, Nafziger, Emerson D., Sawyer, John E., Shanahan, John F.

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United States Midwest Soil and Weather Conditions Influence Anaerobic Potentially Mineralizable Nitrogen von Clark, Jason D., Veum, Kristen S., Fernández, Fabián G., Camberato, James J., Carter, Paul R., Ferguson, Richard B., Franzen, David W., Kaiser, Daniel E., Kitchen, Newell R., Laboski, Carrie A. M., Nafziger, Emerson D., Rosen, Carl J., Sawyer, John E., Shanahan, John F.

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