[HTML][HTML] How Can Soil Quality Be Accurately and Quickly Studied? A Review

RA El Behairy, HM El Arwash, AA El Baroudy… - Agronomy, 2024 - mdpi.com
Evaluating soil quality is crucial for ensuring the sustainable use of agricultural lands. This
review examines the definition, evaluation methods, indicator selection, and relevant case …

Effects of periglacial landforms on soil erosion sensitivity factors and predicted by artificial intelligence approach in Mount Cin, NE Turkey

V Dede, İD Turan, O Dengiz, S Serin, S Pacci - Eurasian Soil Science, 2022 - Springer
In this study, the differences in soil properties formed on various periglacial landforms
located on slope land and high elevation so, this case create main problem against to soil …

[HTML][HTML] Variation of USLE-K soil erodibility factor and its estimation with artificial neural network approach in semi-humid environmental condition

S Pacci, ME Safli, MS Odabas… - Brazilian Archives of …, 2023 - SciELO Brasil
Soil erosion is the most important soil degradation process threatening arid, semi-arid and
semi-humid areas. In this current study, in order to determine the susceptibility of micro basin …

SMAF Modeline Göre Çeltik Tarımı Yapılan Bafra Ovası Arazilerinin Toprak Kalite Özelliklerinin Değerlendirilmesi

S Pacci, O Dengiz, F Saygın, P Alaboz - Türkiye Tarımsal …, 2022 - dergipark.org.tr
Bu çalışmada, Bafra Ovası arazilerinde çeltik yetiştirilen alanların toprak kalite durumunun
SMAF (Soil Management Assessment Framework) modeli ile değerlendirilmesi ve farklı …

An Accurate Approach for Predicting Soil Quality Based on Machine Learning in Drylands

RA El Behairy, HM El Arwash, AA El Baroudy… - Agriculture, 2024 - mdpi.com
Nowadays, machine learning (ML) is a useful technology due to its high accuracy in
constructing non-linear models and algorithms that can adapt to the complexity and diversity …

Ilgaz Dağı Milli Parkı doğal çam orman arazilerinin çölleşme risk değerlendirmesinde Bulanık-AHP Yaklaşımı ve yapay zekâ kullanımı

O Dengiz, ME Saflı, S Pacci - Türkiye Tarımsal Araştırmalar Dergisi, 2023 - dergipark.org.tr
Bu çalışmanın amacı, çam ormanlarıyla kaplı alanların çölleşme risk değerlendirmesinde
Akdeniz Avrupası için Çölleşme Gösterge Sistemi (DIS4ME) yaklaşımında ele alınan …

Ilgar Dağı periglasyal şekilleri üzerinde oluşmuş toprakların erozyon duyarlılıklarının belirlenmesi ve yapay sinir ağı (YSA) ile tahmin edilmesi

V Dede, O Dengiz, İD Turan, K Zorlu… - lnternational Journal of …, 2022 - dergipark.org.tr
Periglasyal şekiller, geçmiş dönem iklim koşullarına bağlı olarak gelişen ve günümüz iklim
koşulları altındada devinim gösteren oluşumlardır. Bu şekiller, Dünya'nın yüksek …

Soil quality assessment of paddy cultivation lands in the Bafra plain based on the SMAF mode.

S Pacci, O Dengiz, F Saygin, P Alaboz - 2022 - cabidigitallibrary.org
In this study, it was aimed to evaluate the soil quality status of the paddy-grown areas in the
Bafra plain lands with the SMAF (Soil Management Assessment Framework) model and to …

Fuzzy-AHP approach and artificial intelligence use in the desertification risk assessment of natural pine forest lands of Ilgaz Mountain National Park in Türkiye.

O Dengiz, ME Safli, S Pacci - 2023 - cabidigitallibrary.org
The aim of this study is to conduct a desertification risk assessment of natural pine forest
lands within the boundaries of Ilgaz Mountain National Park, taking into account the …

[PDF][PDF] Determination of Desertification Risk for Pasture Areas under Semi-Arid Ecological Conditions Using DIS4ME Model and Estimation with Artificial Neural …

E Safli, S Pacci, O Dengiz - 2021 - researchgate.net
Soils formation takes hundreds of years, are among the most important natural resources
that cannot be produced or re-created by human influence. With the effect of the increasing …