AIMC Topic: Soil
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Deep learning-based automated detection and multiclass classification of soil-transmitted helminths and Schistosoma mansoni eggs in fecal smear images.
Scientific reports
Jul 1, 2025
In this work, we developed an automated system for the detection and classification of soil-transmitted helminths (STH) and Schistosoma (S.) mansoni eggs in microscopic images of fecal smears. We assembled an STH and S. mansoni dataset comprising ove...
Edaphic and meteorological parameters as determinants of radon exhalation and its environmental implication in Peruvian agroecosystems.
Scientific reports
Jul 1, 2025
Radon exhalation is a natural process by which atoms of the radioactive gas radon diffuse in the soil and then exhale to an indoor and/or outdoor environment. High radon concentration levels, possibly from high radon exhalation rate levels, can gener...
AI-supported versus manual microscopy of Kato-Katz smears for diagnosis of soil-transmitted helminth infections in a primary healthcare setting.
Scientific reports
Jun 27, 2025
Soil-transmitted helminths primarily comprise Ascaris lumbricoides, Trichuris trichiura, and hookworms, infecting more than 600 million people globally, particularly in underserved communities. Manual microscopy of Kato-Katz thick smears is a widely ...
Modeling Soil pH at regional scale using environmental covariates and machine learning algorithm.
Environmental monitoring and assessment
Jun 24, 2025
Soil pH serves as a critical indicator of soil chemistry and fertility, and mapping its spatial distribution holds significant importance for effective crop management. Digital soil mapping (DSM) is a commonly employed method for making rapid and cos...
Machine learning-based drought prediction using Palmer Drought Severity Index and TerraClimate data in Ethiopia.
PloS one
Jun 18, 2025
Accurate drought prediction is essential for proactive water management and agricultural planning, especially in regions like Ethiopia that are highly susceptible to climate variability. This study investigates the classification of the Palmer Drough...
Soil moisture mapping in Indian tropical islands with C-band SAR and artificial neural network models.
Environmental monitoring and assessment
Jun 17, 2025
This study aims at analyzing the patterns of soil moisture in the South Andaman district using an integrated approach that incorporates Sentinel-1A C-band synthetic aperture radar (SAR) data and other auxiliary data from Sentinel-2A and Landsat 8. A ...
Prediction of air temperature and humidity in greenhouses via artificial neural network.
PloS one
Jun 9, 2025
Accurate prediction of greenhouse temperature and relative humidity is critical for developing environmental control systems. Effective regulation strategies can help improve crop yields while reducing energy consumption. In this study, Multilayer Pe...
Prediction of Metal Nanoparticle Interactions with Soil Properties: Machine Learning Insights into Soil Health Dynamics.
ACS nano
Jun 4, 2025
Metal nanoparticles (MNPs) offer great potential to enable precision and sustainable agriculture. However, a comprehensive understanding of the interactions between multiple MNPs and soil properties, including impacts on overall soil health, remains ...
Synergistic potential of halophytes and halophilic/halotolerant plant growth-promoting bacteria in saline soil remediation: Adaptive mechanisms, challenges, and sustainable solutions.
Microbiological research
May 22, 2025
Salinity stress poses significant challenges to agriculture, reducing productivity and limiting arable land by causing ionic and osmotic imbalances in plants, disrupting physiological processes, and leading to soil degradation over time. Halophytes a...
Spatial Risks of Microplastics in Soils and the Cascading Effects Thereof.
Environmental science & technology
May 21, 2025
Microplastic (MP) pollution has become a significant global concern in soil systems. The spatial risk of MPs in soils, the cascading effects of climate, human activities, and air quality, and the ecosystem gradients from natural habitats, agricultura...
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