AIMC Topic: Soil

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Soil type and content of macro-elements determine hotspots of Cu and Ni accumulation in soils of subarctic industrial barren: inference from a cascade machine learning.

Environmental pollution (Barking, Essex : 1987) Jul 15, 2025
Aerial technogenic pollution from the activity of ferrous and non-ferrous metallurgy resulting in degradation of vulnerable natural ecosystems is a principal environmental problem in Russian Arctic. The industrial barren in the vicinity of Monchegors...
Russia Arctic Regions Copper Nickel Environmental Monitoring Soil Pollutants Machine Learning Soil
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Optimizing swine manure composting parameters with integrated CatBoost and XGBoost models: nitrogen loss mitigation and mechanism.

Journal of environmental management Jul 1, 2025
In this study, machine learning was used to optimize the aerobic composting process of swine manure to enhance nitrogen retention and compost maturity in order to meet the demand for high-quality organic fertilizers in sustainable agriculture. In thi...
Animals Swine Agriculture Machine Learning Soil Fertilizers Boosting Machine Learning Algorithms Composting Nitrogen Manure
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Machine learning-driven analysis of soil microplastic distribution in the Bang Pakong Watershed, Thailand.

Environmental pollution (Barking, Essex : 1987) Jun 15, 2025
Microplastics (MPs) have emerged as a pervasive environmental pollutant due to their persistence and global distribution. However, MPs relationships with covariables remain largely unexplored. This study investigates factors influencing MPs occurrenc...
Soil Pollutants Microplastics Environmental Monitoring Water Pollutants, Chemical Soil Thailand Machine Learning
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Investigation of spatially varying relationships between cadmium accumulation and potential controlling factors in the topsoil of island of Ireland based on spatial machine learning approaches.

Environmental research Jun 15, 2025
BACKGROUND: Cadmium (Cd) contamination in soils is a pressing environmental issue due to its toxicity and persistence. Given the diverse geological formations and intensive agricultural activities in Ireland, understanding the distribution and source...
Environmental Monitoring Soil Pollutants Cadmium Machine Learning Soil Islands Spatial Analysis Ireland
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Machine learning-assisted source identification and probabilistic ecological-health risk assessment of heavy metal(loid)s in urban park soils.

Scientific reports May 20, 2025
The accumulation of heavy metal(loid)s (HMs) in the soils of urban parks in industrial cities has raised global concerns because of their environmental and health impacts. However, traditional deterministic assessments commonly overlook uncertainties...
Metals, Heavy Mining Soil Pollutants Parks, Recreational Humans Machine Learning China Soil Cities Risk Assessment Environmental Monitoring
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Water status and plant traits of dry bean assessment using integrated spectral reflectance and RGB image indices with artificial intelligence.

Scientific reports May 14, 2025
This study investigated the potential of using remote sensing indices with artificial neural networks (ANNs) to quantify the responses of dry bean plants to water stress. Two field experiments were conducted with three irrigation regimes: 100% (B100)...
Agricultural Irrigation Phaseolus Neural Networks, Computer Biomass Soil Artificial Intelligence Water
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Spectroscopic measurement of near-infrared soil pH parameters based on GhostNet-CBAM.

PloS one Jan 1, 2025
Soil pH is an important parameter that affects plant nutrient uptake and biological activity and has received extensive attention and research. In this paper, we propose a neural network algorithm using Ghostnet combined with Convolutional Block Atte...
Algorithms Soil Hydrogen-Ion Concentration Monte Carlo Method Spectroscopy, Near-Infrared Neural Networks, Computer
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A framework for identifying calcium accumulation problem in cropland: Integrating field surveys, legacy soil map, and machine learning models.

PloS one Jan 1, 2025
The calcium accumulation problem (CAP) in cinnamon soil regions of northern China significantly impacts crop yields. Identifying and mitigating CAP is crucial for improving soil quality and agricultural productivity. This study, based on field resear...
Agriculture Calcium Soil Machine Learning Crops, Agricultural China
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Integrated irrigation of water and fertilizer with superior self-correcting fuzzy PID control system.

PloS one Jan 1, 2025
To address the fixed-parameter limitations of traditional PID control (e.g., excessive overshoot, prolonged settling time, poor adaptability to nonlinearities) and the insufficient real-time adjustment capability of conventional fuzzy PID control, wh...
Soil Water Fuzzy Logic Agricultural Irrigation Models, Theoretical Fertilizers
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Dominant Edaphic Controls on Particulate Organic Carbon in Global Soils.

Global change biology Dec 1, 2024
The current soil carbon paradigm puts particulate organic carbon (POC) as one of the major components of soil organic carbon worldwide, highlighting its pivotal role in carbon mitigation. In this study, we compiled a global dataset of 3418 data point...
Models, Theoretical Machine Learning Soil Carbon
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