New hybrid evolutionary models for spatial prediction of soil properties in Kurdistan-Reference-Cited by-同舟云学术

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New hybrid evolutionary models for spatial prediction of soil properties in Kurdistan

Published:2021-08-25 Issue:1 Volume:38 Page:191-211
ISSN:0266-0032
Container-title:Soil Use and Management
language:en
Short-container-title:Soil Use and Management

Author:

Mahmoudzadeh Hamid¹,Matinfar Hamid Reza¹^ORCID,Kerry Ruth²,Eskandari Shler³,Ebrahimi‐Khusfi Zohre⁴,Taghizadeh‐Mehrjardi Ruhollah⁵⁶⁷

Affiliation:

1. Department of Soil Science College of Agriculture Lorestan University Khorramabad Iran

2. Department of Geography Brigham Young University Provo Utah USA

3. Department of Soil Science College of Agriculture University of Kurdistan Sanandaj Iran

4. Faculty of Natural Resources Department of Ecological Engineering University of Jiroft Jiroft Iran

5. Department of Geosciences, Soil Science and Geomorphology University of Tübingen Tübingen Germany

6. SFB1070 ResourceCultures University of Tübingen Tübingen Germany

7. College of Agriculture and Natural Resources Ardakan University Ardakan Iran

Publisher

Wiley

Subject

Pollution,Soil Science,Agronomy and Crop Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/sum.12753

Reference123 articles.

1. Estimation of Saturation Percentage of Soil Using Multiple Regression, ANN, and ANFIS Techniques

2. Modelling soil compaction of agricultural soils using fuzzy logic approach and adaptive neuro-fuzzy inference system (ANFIS) approaches

3. Digital Mapping of Soil Organic Carbon Contents and Stocks in Denmark

4. Use of Reflectance Measurements for the Detection of N, P, K, ADF and NDF Contents in Sainfoin Pasture

5. Assessing denitrification from seasonally saturated soils in an agricultural landscape: A farm-scale mass-balance approach

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4. Spatial prediction of physical and chemical properties of soil using optical satellite imagery: a state-of-the-art hybridization of deep learning algorithm;Frontiers in Environmental Science;2023-12-22

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