AIMC Topic: 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...
Deep Learning Algorithms Environmental Monitoring Soil Machine Learning France Carbon
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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 Machine Learning Soil Risk Assessment
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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 Volatile Organic Compounds Machine Learning 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 Neural Networks, Computer Soil Deep Learning Satellite Imagery
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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...
Humans Soil Pollutants Machine Learning Metals, Heavy Soil Environmental Monitoring Metals Risk Assessment Tea India
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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...
Probability Czech Republic Environmental Monitoring Soil Pollutants Soil Machine Learning Farms Agriculture
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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...
Hydroponics Plants, Medicinal Onions Soil Machine Learning Plant Roots
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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 Fuzzy Logic Agricultural Irrigation Soil
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Precision soil sampling strategy for the delineation of management zones in olive cultivation using unsupervised machine learning methods.

Scientific reports Mar 10, 2025
Climate change and environmental degradation pose a significant threat to the global community. Soil management is one of the critical factors for achieving climate neutrality, as plants and soils together currently absorb approximately 30% of the CO...
Greece Olea Climate Change Agriculture Cluster Analysis Unsupervised Machine Learning Principal Component Analysis Soil
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Predicting surface soil pH spatial distribution based on three machine learning methods: a case study of Heilongjiang Province.

Environmental monitoring and assessment Mar 8, 2025
Comprehensive and accurate acquisition of surface soil pH spatial distribution information is essential for monitoring soil degradation and providing scientific guidance for agricultural practices. This study focused on Heilongjiang Province in China...
Machine Learning Environmental Monitoring Support Vector Machine Models, Chemical Soil China Hydrogen-Ion Concentration
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