AIMC Topic: Soil

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Modeling PFAS Sorption in Soils Using Machine Learning.

Environmental science & technology Apr 11, 2025
In this study, we introduce PFASorptionML, a novel machine learning (ML) tool developed to predict solid-liquid distribution coefficients () for per- and polyfluoroalkyl substances (PFAS) in soils. Leveraging a data set of 1,274 entries for PFAS in ...
Adsorption Soil Pollutants Fluorocarbons Machine Learning Soil
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Leveraging explainable AI to predict soil respiration sensitivity and its drivers for climate change mitigation.

Scientific reports Apr 11, 2025
Global warming is one of the most pressing and critical problems facing the world today. It is mainly caused by the increase in greenhouse gases in the atmosphere, such as carbon dioxide (CO). Understanding how soils respond to rising temperatures is...
Climate Change Global Warming Soil Microbiology Carbon Dioxide Artificial Intelligence Machine Learning Temperature Soil
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Variability analysis of soil organic carbon content across land use types and its digital mapping using machine learning and deep learning algorithms.

Environmental monitoring and assessment Apr 10, 2025
Soil organic carbon (SOC) plays a crucial role in carbon cycle management and soil fertility. Understanding the spatial variations in SOC content is vital for supporting sustainable soil resource management. In this study, we analyzed the variability...
Environmental Monitoring Soil Machine Learning Carbon France Algorithms Deep Learning
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Applications of machine learning in potentially toxic elemental contamination in soils: A review.

Ecotoxicology and environmental safety Apr 6, 2025
Soil contamination by potentially toxic elements (PTEs) poses substantial risks to the environment and human health. Traditional investigational methods are often inadequate for large-scale assessments because they are time-consuming, costly, and hav...
Environmental Monitoring Soil Pollutants Soil Risk Assessment Machine Learning
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Machine Learning-Enhanced Prediction for Soil-to-Air VOC Emission and Environmental Impact Pertaining Contaminated Fractured Aquifers.

Environmental science & technology Apr 1, 2025
How to scientifically and efficiently quantify the impact and hazards of volatile organic compounds (VOCs) pollution and volatilization from complex groundwater systems on surface air environments is a critical environmental issue. This paper employe...
Groundwater Environmental Monitoring Machine Learning Volatile Organic Compounds Soil
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Soil and crop interaction analysis for yield prediction with satellite imagery and deep learning techniques for the coastal regions.

Journal of environmental management Mar 25, 2025
Crop yield is a significant factor in world income and poverty alleviation as well as food production through agriculture. Conventional crop yield forecasting approaches that employ subjective estimates including farmers' perceptions are imprecise an...
Agriculture Crops, Agricultural Soil Deep Learning Satellite Imagery Neural Networks, Computer
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Assessing potential toxic metal threats in tea growing soils of India with soil health indices and machine learning technologies.

Environmental monitoring and assessment Mar 25, 2025
This study explores the impact of potentially toxic metals (PTMs) contamination in Indian tea-growing soils on ecosystems, soil quality, and human health using machine learning and statistical analysis. A total of 148 surface soil samples were collec...
Tea Humans India Machine Learning Risk Assessment Environmental Monitoring Metals, Heavy Soil Pollutants Soil Metals
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Machine learning for predictive mapping of exceedance probabilities for potentially toxic elements in Czech farmland.

Journal of environmental management Mar 24, 2025
For efficient decision-making and optimal land management trajectories, information on soil properties in relation to safety guidelines should be processed from point inventories to surface predictive maps. For large-scale predictive mapping, very fe...
Czech Republic Soil Soil Pollutants Farms Probability Machine Learning Agriculture Environmental Monitoring
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Machine learning insights for sustainable hydroponic cultivation and growth monitoring of allium cepa using smart hydro kit.

Scientific reports Mar 24, 2025
This research paper emphasizes the growing importance of Allium Cepa (Onions)-a medicinal plant, as a safe and effective alternative to conventional medicinal therapies for both humans and livestock. The increasing concerns over the high costs and si...
Onions Hydroponics Plant Roots Plants, Medicinal Machine Learning Soil
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Smart IoT-driven precision agriculture: Land mapping, crop prediction, and irrigation system.

PloS one Mar 18, 2025
As the world population is increasing day by day, so is the need for more advanced automated precision agriculture to meet the increasing demands for food while decreasing labor work and saving water for crops. Recently, there have been many studies ...
Internet of Things Agriculture Machine Learning Crops, Agricultural Agricultural Irrigation Fuzzy Logic Soil
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