AIMC Topic: Soil

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An efficient soil penetration strategy for explorative robots inspired by plant root circumnutation movements.

Bioinspiration & biomimetics Dec 22, 2017
This paper presents a comparative analysis in terms of energy required by an artificial probe to penetrate soil implementing two different strategies: a straight penetration movement and a circumnutation, which is an oscillatory movement performed by...
Robotics Plant Roots Equipment Design Soil
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Integrating multiple vegetation indices via an artificial neural network model for estimating the leaf chlorophyll content of Spartina alterniflora under interspecies competition.

Environmental monitoring and assessment Oct 31, 2017
The invasive species Spartina alterniflora and native species Phragmites australis display a significant co-occurrence zonation pattern and this co-exist region exerts most competitive situations between these two species, competing for the limited s...
Soil Environmental Monitoring Plant Leaves Neural Networks, Computer Poaceae Chlorophyll
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Artificial neural networks to evaluate organic and inorganic contamination in agricultural soils.

Chemosphere Jul 28, 2017
The assessment of organic and inorganic contaminants in agricultural soils is a difficult challenge due to the large-scale dimensions of the areas under investigation and the great number of samples needed for analysis. On-site screening techniques, ...
Environmental Monitoring Soil Pollutants Polychlorinated Biphenyls Neural Networks, Computer Soil Agriculture Metals, Heavy Dioxins
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Identifying trace metal distribution and occurrence in sediments, inundated soils, and non-flooded soils of a reservoir catchment using Self-Organizing Maps, an artificial neural network method.

Environmental science and pollution research international Jul 10, 2017
The Lancang-Mekong River is a trans-boundary river which provides a livelihood for over 60 million people in Southeast Asia. Its environmental security is vital to both local and regional inhabitants. Efforts have been undertaken to identify controll...
Floods Trace Elements Environmental Monitoring Soil Pollutants Rivers Metals, Heavy Geologic Sediments Neural Networks, Computer Soil China
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Application of artificial neural network in medical geochemistry.

Environmental geochemistry and health Mar 28, 2017
For the evaluation of various adverse health effects of chemical elements occurring in the environment on humans, the comparison and linking of geochemical data (chemical composition of groundwater, soils, and dusts) with data on health status of pop...
Life Expectancy Health Status Indicators Slovakia Cause of Death Environmental Pollutants Soil Male Dust Groundwater Environmental Monitoring Data Interpretation, Statistical Humans Neural Networks, Computer Female
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SoilGrids250m: Global gridded soil information based on machine learning.

PloS one Feb 16, 2017
This paper describes the technical development and accuracy assessment of the most recent and improved version of the SoilGrids system at 250m resolution (June 2016 update). SoilGrids provides global predictions for standard numeric soil properties (...
Humans Machine Learning Models, Theoretical Environmental Monitoring Conservation of Natural Resources Algorithms Soil Geographic Information Systems
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High Resolution Mapping of Soil Properties Using Remote Sensing Variables in South-Western Burkina Faso: A Comparison of Machine Learning and Multiple Linear Regression Models.

PloS one Jan 23, 2017
Accurate and detailed spatial soil information is essential for environmental modelling, risk assessment and decision making. The use of Remote Sensing data as secondary sources of information in digital soil mapping has been found to be cost effecti...
Forests Crops, Agricultural Linear Models Climate Support Vector Machine Remote Sensing Technology Burkina Faso Machine Learning Soil
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Analysis of the Importance of Oxides and Clays in Cd, Cr, Cu, Ni, Pb and Zn Adsorption and Retention with Regression Trees.

PloS one Jan 10, 2017
This study determines the influence of the different soil components and of the cation-exchange capacity on the adsorption and retention of different heavy metals: cadmium, chromium, copper, nickel, lead and zinc. In order to do so, regression models...
Metals, Heavy Clay Machine Learning Algorithms Oxides Soil Pollutants Chromium Nickel Cadmium Aluminum Silicates Lead Adsorption Regression Analysis Soil Reproducibility of Results
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Application of radial basis function neural network to predict soil sorption partition coefficient using topological descriptors.

Chemosphere Nov 9, 2016
The soil sorption partition coefficient logK is an indispensable parameter that can be used in assessing the environmental risk of organic chemicals. In order to predict soil sorption partition coefficient for different and even unknown compounds in ...
Soil Pollutants Organic Chemicals Models, Theoretical Neural Networks, Computer Soil
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Application of backpropagation artificial neural network prediction model for the PAH bioremediation of polluted soil.

Chemosphere Jul 15, 2016
The backpropagation (BP) artificial neural network (ANN) is a renowned and extensively functional mathematical tool used for time-series predictions and approximations; which also define results for non-linear functions. ANNs are vital tools in the p...
Models, Chemical Environmental Pollution Biodegradation, Environmental Polycyclic Aromatic Hydrocarbons Risk Assessment Nigeria Soil Pollutants Neural Networks, Computer Soil
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