Comparative assessment of soil fertility across varying elevations

K Khosravi Aqdam, F Asadzadeh, S Rezapour… - Environmental …, 2023 - Springer
Land elevation exerts a significant influence on soil fertility through affecting macro and
micro climatic conditions and geomorphological processes. To evaluate the soil fertility at …

Comparison of the uncertainty of soil organic carbon stocks in different land uses

KK Aqdam, NY Mahabadi, H Ramezanpour… - Journal of Arid …, 2022 - Elsevier
This study was performed to compare the uncertainty spatial distribution of soil organic
carbon (SOC) stocks in different land uses. To achieve this goal, 210 soil samples were …

Spatial prediction of soil micronutrients using machine learning algorithms integrated with multiple digital covariates

A Keshavarzi, F Kaya, L Başayiğit… - Nutrient Cycling in …, 2023 - Springer
The design and application of multiple tools to map soil micronutrients is key to efficient land
management. While collecting a representative number of soil samples is time consuming …

[PDF][PDF] Comparative assessment of soil fertility across varying elevations

KK Aqdam, F Asadzadeh, S Rezapour… - Environmental …, 2023 - researchgate.net
Land elevation exerts a significant influence on soil fertility through affecting macro and
micro climatic conditions and geomorphological processes. To evaluate the soil fertility at …

Spatial prediction of total nitrogen in soil surface layer based on machine learning

Z Liu, H Lei, L Lei, H Sheng - Sustainability, 2022 - mdpi.com
In order to satisfy the basic requirements of sustainable agricultural development, it is
important to understand the spatial distribution characteristics of soil total nitrogen (TN) …

Evaluation of soil fertility using combination of Landsat 8 and Sentinel‑2 data in agricultural lands

M Zhang, M Khosravi Aqdam, H Abbas Fadel… - Environmental …, 2024 - Springer
Today, remote sensing is widely used to estimate soil properties. Because it is an easy and
accessible way to estimate soil properties that are difficult to estimate in the field. Based on …

Area-to-point regression Kriging approach fusion of Landsat 8 OLI and Sentinel 2 data for assessment of soil macronutrients at Anaimalai, Coimbatore

D Vaithiyanathan, K Sudalaimuthu - Environmental Monitoring and …, 2022 - Springer
Spectral indices-based soil prediction models derived from multispectral datasets are too
intricate in terms of accuracy as well as resolution. Complications arise while incorporating …

An optimized deep network based soil texture prediction and vegetation analysis using satellite image database

M Anand, A Jain… - … and Computation: Practice …, 2023 - Wiley Online Library
The usage of satellite images has grown rapidly in digital applications. Predicting features in
the satellite images using conventional techniques is not an easy task as the images …

Soil nutrient prediction for paddy cultivation via soil fertility and pH trained hybrid architecture: Recommendations based on nutrient deficiency

K Chinnaiah - Intelligent Decision Technologies, 2024 - content.iospress.com
Soil testing can assist in determining how much fertilizer is necessary, as it depends on the
fertility and crop of the soil. Through soil fertility and pH-trained hybrid architecture, a new …

Evaluation of soil fertility in northwest Iran: A comparison based on elevation

KK Aqdam, F Asadzadeh, S Rezapour, A Nouri - 2023 - researchsquare.com
Soil fertility and nutrient management are the main factors that directly affect the yield of the
product. To evaluate the soil fertility at different elevations (including 1600-2000, 2000-2400 …