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Random forest regression for optimizing variable planting rates for corn and soybean using topographical and soil data


Type:
Article
Title:
Random forest regression for optimizing variable planting rates for corn and soybean using topographical and soil data
Creator:
Krause, M.;
Krause, M.
ORCID iD iconhttps://orcid.org/0000-0003-1154-337X
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Crossman, S.;
DuMond, T.;
Lott, R.;
Swede, J.;
Arliss, S.;
Robbins, R.;
Ochs, D.;
Gore, M.A.
Gore, M.A.
ORCID iD iconhttps://orcid.org/0000-0001-6896-8024
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Year:
2020
Copyright:
CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
Journal volume:
6
Journal issue:
112
Pages:
5045-5066
DOI:
10.1002/agj2.20442
Place of Publication:
Madison, WI (USA)
Publisher:
American Society of Agronomy :; Wiley
Citation:
Random forest regression for optimizing variable planting rates for corn and soybean using topographical and soil data. 2020. 6 (112) DOI: 10.1002/agj2.20442 American Society of Agronomy :. Wiley.

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