AIMC Topic: Soil

Clear Filters Showing 111 to 120 of 281 articles

Machine learning-driven source identification and ecological risk prediction of heavy metal pollution in cultivated soils.

Journal of hazardous materials Jul 5, 2024
To overcome challenges in assessing the impact of environmental factors on heavy metal accumulation in soil due to limited comprehensive data, our study in Yangxin County, Hubei Province, China, analyzed 577 soil samples in combination with extensive...
Risk Assessment China Soil Pollutants Metals, Heavy Environmental Monitoring Machine Learning Soil
View on PubMed DOI

Ensemble learning algorithms to elucidate the core microbiome's impact on carbon content and degradation properties at the soil aggregate level.

The Science of the total environment Jul 4, 2024
Soil aggregates are crucial for soil organic carbon (OC) accumulation. This study, utilizing a 32-year fertilization experiment, investigates whether the core microbiome can elucidate variations in carbon content and decomposition across different ag...
Soil Bacteria Machine Learning Algorithms Microbiota Fungi Fertilizers Soil Microbiology Carbon
View on PubMed DOI

A critical systematic review on spectral-based soil nutrient prediction using machine learning.

Environmental monitoring and assessment Jul 4, 2024
The United Nations (UN) emphasizes the pivotal role of sustainable agriculture in addressing persistent starvation and working towards zero hunger by 2030 through global development. Intensive agricultural practices have adversely impacted soil quali...
Agriculture Environmental Monitoring Nutrients Machine Learning Soil
View on PubMed DOI

Artificial neural networks in soil quality prediction: Significance for sustainable tea cultivation.

The Science of the total environment Jul 3, 2024
In today's era artificial intelligence is quite popular, one of the most effective algorithms used is Artificial Neural Networks (ANN). In this study, the determination of soil quality using the Soil Management Assessment Framework (SMAF) model in ar...
Agriculture Environmental Monitoring Tea Neural Networks, Computer Soil
View on PubMed DOI

New strategy to optimize in-situ fenton oxidation for TPH contaminated soil remediation via artificial neural network approach.

Chemosphere Jul 3, 2024
In-situ remediation of total petroleum hydrocarbon (TPH) contaminated soils via Fenton oxidation is a promising approach. However, determining the proper injection amount of HO and Fe source over the Fenton reaction in the complex geological conditio...
Hydrogen Peroxide Neural Networks, Computer Hydrocarbons Soil Pollutants Iron Oxidation-Reduction Soil Petroleum Environmental Restoration and Remediation
View on PubMed DOI

Optimal biochar selection for cadmium pollution remediation in Chinese agricultural soils via optimized machine learning.

Journal of hazardous materials Jun 27, 2024
Biochar is effective in mitigating heavy metal pollution, and cadmium (Cd) is the primary pollutant in agricultural fields. However, traditional trial-and-error methods for determining the optimal biochar remediation efficiency are time-consuming and...
Cadmium Agriculture Machine Learning Soil Pollutants Charcoal Soil Environmental Restoration and Remediation China
View on PubMed DOI

Predicting the governing factors for the release of colloidal phosphorus using machine learning.

Chemosphere Jun 27, 2024
Predicting the parameters that influence colloidal phosphorus (CP) release from soils under different land uses is critical for managing the impact on water quality. Traditional modeling approaches, such as linear regression, may fail to represent th...
Iron Environmental Monitoring Phosphorus Colloids Linear Models Machine Learning Soil Pollutants Soil
View on PubMed DOI

Securing China's rice harvest: unveiling dominant factors in production using multi-source data and hybrid machine learning models.

Scientific reports Jun 26, 2024
Ensuring the security of China's rice harvest is imperative for sustainable food production. The existing study addresses a critical need by employing a comprehensive approach that integrates multi-source data, including climate, remote sensing, soil...
Oryza Climate Neural Networks, Computer Machine Learning China Agriculture Soil
View on PubMed DOI

Clivia biosensor: Soil moisture identification based on electrophysiology signals with deep learning.

Biosensors & bioelectronics Jun 25, 2024
Research has shown that plants have the ability to detect environmental changes and generate electrical signals in response. These electrical signals can regulate the physiological state of plants and produce corresponding feedback. This suggests tha...
Neural Networks, Computer Soil Biosensing Techniques Environmental Monitoring Plants Deep Learning Water
View on PubMed DOI

Machine learning in soil nutrient dynamics of alpine grasslands.

The Science of the total environment Jun 25, 2024
As a terrestrial ecosystem, alpine grasslands feature diverse vegetation types and play key roles in regulating water resources and carbon storage, thus shaping global climate. The dynamics of soil nutrients in this ecosystem, responding to regional ...
Phosphorus Climate Change Grassland Nitrogen Nutrients Machine Learning Soil Ecosystem Environmental Monitoring
View on PubMed DOI
Popular Topics
Recent Journals