[HTML][HTML] Machine learning and soil sciences: A review aided by machine learning tools
The application of machine learning (ML) techniques in various fields of science has
increased rapidly, especially in the last 10 years. The increasing availability of soil data that …
increased rapidly, especially in the last 10 years. The increasing availability of soil data that …
An overview and comparison of machine-learning techniques for classification purposes in digital soil map**
Abstract Machine-learning is the automated process of uncovering patterns in large datasets
using computer-based statistical models, where a fitted model may then be used for …
using computer-based statistical models, where a fitted model may then be used for …
Land suitability assessment and agricultural production sustainability using machine learning models
Land suitability assessment is essential for increasing production and planning a
sustainable agricultural system, but such information is commonly scarce in the semi-arid …
sustainable agricultural system, but such information is commonly scarce in the semi-arid …
Pedology and digital soil map** (DSM)
Pedology focuses on understanding soil genesis in the field and includes soil classification
and map**. Digital soil map** (DSM) has evolved from traditional soil classification and …
and map**. Digital soil map** (DSM) has evolved from traditional soil classification and …
Assessing the effects of slope gradient and land use change on soil quality degradation through digital map** of soil quality indices and soil loss rate
Slope gradient and land use change are known to influence soil quality and the assessment
of soil quality is important in determining sustainable land-use and soil-management …
of soil quality is important in determining sustainable land-use and soil-management …
A comprehensive review on soil classification using deep learning and computer vision techniques
Soil classification is one of the major affairs and emanating topics in a large number of
countries. The population of the world is rising at a majorly rapid pace and along with the …
countries. The population of the world is rising at a majorly rapid pace and along with the …
Digital map** of soil organic carbon at multiple depths using different data mining techniques in Baneh region, Iran
This study aimed to map SOC lateral, and vertical variations down to 1 m depth in a semi-
arid region in Kurdistan Province, Iran. Six data mining techniques namely; artificial neural …
arid region in Kurdistan Province, Iran. Six data mining techniques namely; artificial neural …
Conventional and digital soil map** in Iran: Past, present, and future
Demand for accurate soil information is increasing for various applications. This paper
investigates the history of soil survey in Iran, particularly more recent developments in the …
investigates the history of soil survey in Iran, particularly more recent developments in the …
Assessment of soil quality indices for salt-affected agricultural land in Kurdistan Province, Iran
Soil quality indices (SQIs) were an important tool for evaluating agro-ecosystems.
Salinization and alkalization are major environmental problems that have threatened …
Salinization and alkalization are major environmental problems that have threatened …
Assessing agricultural salt-affected land using digital soil map** and hybridized random forests
Salinization and alkalization are predominant environmental problem world-wide which their
accurate assessment is essential for determining appropriate ways to deal with land …
accurate assessment is essential for determining appropriate ways to deal with land …