AIMC Topic: 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...
Unsupervised Machine Learning Principal Component Analysis Olea Agriculture Cluster Analysis Climate Change Greece 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 Soil China Models, Chemical Hydrogen-Ion Concentration Environmental Monitoring Support Vector Machine
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Construction of multi-metal interspecies correlation estimation models based on typical soil scenarios.

Environmental research Feb 28, 2025
The ecological risk assessment of metals in soils is essential for soil pollution management. However, regional soil heterogeneity and species diversity need to be considered when making these assessments. Therefore, an interspecies correlation estim...
Risk Assessment Soil Pollutants Metals Soil Metals, Heavy Environmental Monitoring Models, Theoretical Soil Microbiology
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Uncovering soil heavy metal pollution hotspots and influencing mechanisms through machine learning and spatial analysis.

Environmental pollution (Barking, Essex : 1987) Feb 21, 2025
Soil heavy metal (HM) pollution is a significant and widespread environmental issue in China, highlighting the need to quantify influencing factors and identify priority concern areas for effective prevention and management. Based on published litera...
Spatial Analysis Industry Transportation Environmental Policy Metals, Heavy Soil Pollutants Machine Learning Environmental Pollution Soil Agriculture China Environmental Monitoring
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A novel graph convolutional neural network model for predicting soil Cd and As pollution: Identification of influencing factors and interpretability.

Ecotoxicology and environmental safety Feb 19, 2025
Soil pollution caused by toxic metals poses serious threats to the ecological environment and human well-being. Accurately predicting toxic metal concentrations is critical for safeguarding soil environmental security. However, the distribution of so...
Arsenic Environmental Pollution Cadmium Convolutional Neural Networks Neural Networks, Computer Environmental Monitoring Soil Soil Pollutants
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Leveraging artificial neural networks for optimizing Cinnamomum Sintoc essential oil production in Mount Ciremai.

Brazilian journal of biology = Revista brasleira de biologia Feb 14, 2025
Cinnamomum sintoc is a plant renowned for its production of high-quality essential oils. This study assessed the essential oil content in C. sintoc based on its morphological characteristics, environmental conditions, and soil nutrient composition. A...
Cinnamomum Brazil Neural Networks, Computer Oils, Volatile Soil
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Unleashing the nutritional potential of Brassica microgreens: A case study on seed priming with Vermicompost.

Food chemistry Feb 13, 2025
Microgreens constitute ready-to-eat functional foods, being rich sources of phytonutrients and phytochemicals. Because of their short life cycle, seed priming is a promising strategy to fortify their functional outcome. Vermicompost was applied as se...
Soil Antioxidants Seeds Brassica Polyphenols Glucosinolates Nutritive Value Functional Food
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Development of a method for detecting and classifying hydrocarbon-contaminated soils via laser-induced breakdown spectroscopy and machine learning algorithms.

Environmental science and pollution research international Feb 5, 2025
In recent years, there has been a significant increase in oil exploration and exploitation activities, resulting in spills that pose a severe threat to the environment and public health. The present work aims to develop a method to detect and classif...
Soil Pollutants Spectrum Analysis Hydrocarbons Lasers Principal Component Analysis Discriminant Analysis Soil Environmental Monitoring Machine Learning Algorithms
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The intuitionistic fuzzy linguistic assessment of forest soil quality with multi-granularity qualitative information.

Environmental monitoring and assessment Jan 31, 2025
The soil quality of forest land is directly related to the growth of forest trees and the local ecological environment. This paper proposes an intuitionistic fuzzy linguistic aggregation method for heterogeneous linguistic assessment information, to ...
Linguistics Soil Fuzzy Logic Forests Environmental Monitoring
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Machine learning unveils the role of biochar application in enhancing tea yield by mitigating soil acidification in tea plantations.

The Science of the total environment Jan 29, 2025
Biochar, a widely utilized soil amendment in environmental applications, has been employed to enhance tea cultivation. This study utilized three machine learning models to investigate the effects of biochar on tea growth and yield, with the random fo...
Soil Agriculture Camellia sinensis Machine Learning Tea Charcoal
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