AIMC Topic: Soil
Clear Filters Showing 31 to 40 of 265 articles
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...
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...
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...
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...
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...
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...
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 ...
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...
A spatial interpolation method based on 3D-CNN for soil petroleum hydrocarbon pollution.
PloS one
Jan 24, 2025
Petroleum hydrocarbon pollution causes significant damage to soil, so accurate prediction and early intervention are crucial for sustainable soil management. However, traditional soil analysis methods often rely on statistical methods, which means th...
Using machine learning to predict selenium content in crops: Implications for soil health and agricultural land utilization in longevity regions.
The Science of the total environment
Jan 21, 2025
Selenium (Se) is an indispensable trace element to human health, yet its biological tolerance threshold is relatively narrow. The potential application of machine learning methods to indirectly predict the Se content in crops across regional areas, t...
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 30978
- Neural Networks, Computer 29696
- Algorithms 26813
- Deep Learning 26324
- Artificial Intelligence 24267
- Robotics 13307
- Image Processing, Computer-Assisted 9512
- Retrospective Studies 9097
- Magnetic Resonance Imaging 6173
- Reproducibility of Results 5589
- Tomography, X-Ray Computed 4765
- Support Vector Machine 4678
- Computational Biology 4229
- Brain 4045
- Computer Simulation 3877
Recent Journals
- Scientific reports 5865
- Sensors (Basel, Switzerland) 4794
- PloS one 4011
- Neural networks : the official journal of the International Neural Network Society 2928
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1839
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1129
- Journal of chemical information and modeling 994
- Nature communications 938
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 861
- Briefings in bioinformatics 850
- IEEE transactions on neural networks and learning systems 823