Curtis J. Ransom

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

Curtis J. Ransom, Newell R. Kitchen, James J. Camberato et al. · Computers and Electronics in Agriculture · 2019 · 102 citations

Precision Agriculture, Environmental Monitoring, Machine Learning Methods +6

Nitrogen release rates from slow- and controlled-release fertilizers influenced by placement and temperature

Curtis J. Ransom, Von D. Jolley, Trenton A. Blair et al. · PLoS ONE · 2020 · 86 citations · Full text

Crop Production, Precision Agriculture, Engineering +13

Application of Machine Learning Methodologies for Predicting Corn Economic Optimal Nitrogen Rate

Zhisheng Qin, D. Brenton Myers, Curtis J. Ransom et al. · Agronomy Journal · 2018 · 78 citations · Full text

Precision Agriculture, Environmental Monitoring, Machine Learning +18

Corn nitrogen rate recommendation tools’ performance across eight US midwest corn belt states

Curtis J. Ransom, Newell R. Kitchen, James J. Camberato et al. · Agronomy Journal · 2020 · 76 citations · Full text

Precision Agriculture, Canopy Reflectance, Applied Economics +17

A Public–Industry Partnership for Enhancing Corn Nitrogen Research and Datasets: Project Description, Methodology, and Outcomes

Newell R. Kitchen, John F. Shanahan, Curtis J. Ransom et al. · Agronomy Journal · 2017 · 55 citations · Full text

Engineering, Land Use, Agricultural Economics +20