Predicting Soil Particulate Organic Mattter Using Artificial Neural Network with Wavelet Function-Reference-Cited by-同舟云学术

Predicting Soil Particulate Organic Mattter Using Artificial Neural Network with Wavelet Function

Published:2020-08-05 Issue:14 Volume:51 Page:1904-1915
ISSN:0010-3624
Container-title:Communications in Soil Science and Plant Analysis
language:en
Short-container-title:Communications in Soil Science and Plant Analysis

Author:

Baligh Paria¹,Honarjoo Naser¹,Totonchi Arash²,Jalalian Ahmad¹

Affiliation:

1. Department of Soil Science, College of Agriculture, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran

2. Department of Civil Engineering, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran

Funder

specific grant from funding agencies in the public

Publisher

Informa UK Limited

Subject

Soil Science,Agronomy and Crop Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/00103624.2020.1808012

Reference49 articles.

1. Soil Particulate Organic Matter (POM) Prediction in a Mountainous Watershed using Artificial Neural Networks

2. A comparison of soil quality indexing methods for vegetable production systems in Northern California

3. Soil aggregation and organic carbon as affected by topography and land use change in western Iran

4. Baligh, P., M. Baghernejad, and A. Abtahi. 2009. Study of formation, evolution, and classification of Khane Zenyan village soils in Fars province. M.Sc. thesis in soil science. 122 p. In Persian.

5. Brady, N. C., and R. R. Weil. 1999. The nature and properties of soils, 881. 12th ed. Upper Saddle River, New Jersey: Prentice-Hall, Inc.

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