Predicting Soil Quality Index with a Deep Regression Approach-Reference-Cited by-同舟云学术

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Predicting Soil Quality Index with a Deep Regression Approach

Published:2024-01-30 Issue:9 Volume:55 Page:1313-1323
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:

Işık Şahin¹,Turgut Bülent²,Anagün Yıldıray¹,Olgun Murat³

Affiliation:

1. Department of Computer Engineering, Eskişehir Osmangazi University, Eskişehir, Turkey

2. Department of Soil and Ecology, Karadeniz Technical University, Forest Faculty, Trabzon, Turkey

3. Department of Field Crops, Eskişehir Osmangazi University, Agriculture Faculty, Eskişehir, Turkey

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00103624.2024.2305838

Reference27 articles.

1. SSSA statement on soil quality;Allan D. L.;Agronomy News,1995

2. Soil quality indices following long-term conservation pasture management practices

3. Assessment of Forest Ecosystem Development in Coal Mine Degraded Land by Using Integrated Mine Soil Quality Index (IMSQI): The Evidence from India

4. Soil quality assessment to compare tillage systems in Cukurova Plain, Turkey

5. Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature

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