Zobrazeno 1 - 6 of 6 pro vyhledávání: '"Gregory Mac Bean"'
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Akademický článek
Corn Nitrogen Nutrition Index Prediction Improved by Integrating Genetic, Environmental, and Management Factors with Active Canopy Sensing Using Machine Learning
Autor: Dan Li, 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, David W. Franzen, Carrie A. M. Laboski, Emerson D. Nafziger, John F. Shanahan
Publikováno v: Remote Sensing, Vol 14, Iss 2, p 394 (2022)
Accurate nitrogen (N) diagnosis early in the growing season across diverse soil, weather, and management conditions is challenging. Strategies using multi-source data are hypothesized to perform significantly better than approaches using crop sensing
Externí odkaz: https://doaj.org/article/e02d778071434c8b8b9a5ae8d79759e2
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4
Active‐Optical Reflectance Sensing Corn Algorithms Evaluated over the United States Midwest Corn Belt
Autor: James J. Camberato, Richard B. Ferguson, Peter C. Scharf, James S. Schepers, Emerson D. Nafziger, David W. Franzen, Gregory Mac Bean, John E. Sawyer, Fabián G. Fernández, J. S. Shanahan, Newell R. Kitchen, Carrie A. M. Laboski
Publikováno v: Agronomy Journal. 110:2552-2565
Uncertainty exists with corn (Zea mays L.) N management due to year-to-year variation in crop N need, soil N supply, and N loss from leaching, volatilization, and denitrification. Active-optical reflectance sensing (AORS) has proven effective in some
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8d6ec8917375b3fea9d2a733f99a8140
https://doi.org/10.2134/agronj2018.03.0217
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6
A Public–Industry Partnership for Enhancing Corn Nitrogen Research and Datasets: Project Description, Methodology, and Outcomes
Autor: Matt Shafer, Fabián G. Fernández, Paul R. Carter, Curtis J. Ransom, John E. Sawyer, Newell R. Kitchen, James J. Camberato, Carrie A. M. Laboski, David W. Franzen, Richard B. Ferguson, Jason D. Clark, Emerson D. Nafziger, John F. Shanahan, Gregory Mac Bean, Christopher J. Bandura, Zhisheng Qing
Publikováno v: Agronomy Journal. 109:2371-2389
Due to economic and environmental consequences of N lost from fertilizer applications in corn (Zea mays L.), considerable public and industry attention has been devoted to the development of N decision tools. Needed are research and databases and ass
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5c9625849efc601d08a815ed4ed45815
https://doi.org/10.2134/agronj2017.04.0207
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