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Research ArticleA Section

Emerging nutrient management databases and networks of networks will have broad applicability in future machine learning and artificial intelligence applications in soil and water conservation

Jorge A. Delgado, Bruce Vandenberg, Donna Neer and Robert D'Adamo
Journal of Soil and Water Conservation November 2019, 74 (6) 113A-118A; DOI: https://doi.org/10.2489/jswc.74.6.113A
Jorge A. Delgado
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Bruce Vandenberg
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Donna Neer
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Robert D'Adamo
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Article Information

vol. 74 no. 6 113A-118A
DOI 
https://doi.org/10.2489/jswc.74.6.113A

Published By 
Soil and Water Conservation Society
Print ISSN 
0022-4561
Online ISSN 
1941-3300

Copyright & Usage 
© 2019 by the Soil and Water Conservation Society

Author Information

  1. Jorge A. Delgado,
  2. Bruce Vandenberg,
  3. Donna Neer and
  4. Robert D'Adamo

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Journal of Soil and Water Conservation: 74 (6)
Journal of Soil and Water Conservation
Vol. 74, Issue 6
November/December 2019
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Emerging nutrient management databases and networks of networks will have broad applicability in future machine learning and artificial intelligence applications in soil and water conservation
Jorge A. Delgado, Bruce Vandenberg, Donna Neer, Robert D'Adamo
Journal of Soil and Water Conservation Nov 2019, 74 (6) 113A-118A; DOI: 10.2489/jswc.74.6.113A

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Emerging nutrient management databases and networks of networks will have broad applicability in future machine learning and artificial intelligence applications in soil and water conservation
Jorge A. Delgado, Bruce Vandenberg, Donna Neer, Robert D'Adamo
Journal of Soil and Water Conservation Nov 2019, 74 (6) 113A-118A; DOI: 10.2489/jswc.74.6.113A
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More in this TOC Section

A Section

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  • To protect and conserve: Fifty years of Nebraska’s Natural Resources Districts
  • Managing plant surplus carbon to generate soil organic matter in regenerative agriculture
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Research Introduction

  • Quantifying the impacts of the Conservation Effects Assessment Project watershed assessments: The first fifteen years
  • Assessing cultivated cropland inherent vulnerability to sediment and nutrient losses with the Soil Vulnerability Index
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