Modeling Soil Test Phosphorus Changes under Fertilized and Unfertilized Managements Using Artificial Neural Networks-Reference-Cited by-同舟云学术

Modeling Soil Test Phosphorus Changes under Fertilized and Unfertilized Managements Using Artificial Neural Networks

Published:2017-09 Issue:5 Volume:109 Page:2278-2290
ISSN:0002-1962
Container-title:Agronomy Journal
language:en
Short-container-title:Agron.j.

Author:

Alvarez Roberto¹²,Steinbach Haydee S.¹

Affiliation:

1. Facultad de AgronomíaUniv. de Buenos AiresAv. San Martín 4453 (1417)Buenos AiresArgentina

2. CONICETAv. San Martín 4453 (1417)Buenos AiresArgentina

Funder

University of Buenos Aires

Publisher

Wiley

Subject

Agronomy and Crop Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.2134/agronj2017.01.0014

Reference77 articles.

1. Predicting average regional yield and production of wheat in the Argentine Pampas by an artificial neural network approach

2. Alvarez R. F.Gutierrez Boem G.Rubio.2013a.Recomendación de fertilización. In:Alvarez R.Prystupa P.Rodríguez M.Alvarez C. editors Fertilización de cultivos y pasturas. Diagnóstico y recomendación en la Región Pampeana.2nd ed. Facultad de Agronomía‐Univ. of Buenos Aires. p.101–115.

3. Climate, organic matter and clay content relationships in the Pampa and Chaco soils, Argentina

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