AIMC Topic: Soil

Clear Filters Showing 141 to 150 of 281 articles

Learning vs. understanding: When does artificial intelligence outperform process-based modeling in soil organic carbon prediction?

New biotechnology Mar 8, 2024
In recent years, machine learning (ML) algorithms have gained substantial recognition for ecological modeling across various temporal and spatial scales. However, little evaluation has been conducted for the prediction of soil organic carbon (SOC) on...
Artificial Intelligence Agriculture Carbon Algorithms Soil
View on PubMed DOI

Machine-learning intervention progress in the field of organic waste composting: Simulation, prediction, optimization, and challenges.

Waste management (New York, N.Y.) Feb 24, 2024
Aerobic composting stands as a widely-adopted method for treating organic solid waste (OSW), simultaneously producing organic fertilizers and soil amendments. This biologically-driven biochemical reaction process, however, presents challenges due to ...
Soil Solid Waste Neural Networks, Computer Machine Learning Refuse Disposal Waste Management Composting Fertilizers
View on PubMed DOI

Tree-structured parzen estimator optimized-automated machine learning assisted by meta-analysis for predicting biochar-driven NO mitigation effect in constructed wetlands.

Journal of environmental management Feb 17, 2024
Biochar is a carbon-neutral tool for combating climate change. Artificial intelligence applications to estimate the biochar mitigation effect on greenhouse gases (GHGs) can assist scientists in making more informed solutions. However, there is also e...
Nitrous Oxide Artificial Intelligence Nitrogen Soil Machine Learning Wetlands Charcoal
View on PubMed DOI

Predicting saturated and near-saturated hydraulic conductivity using artificial neural networks and multiple linear regression in calcareous soils.

PloS one Jan 10, 2024
Hydraulic conductivity (Kψ) is one of the most important soil properties that influences water and chemical movement within the soil and is a vital factor in various management practices, like drainage, irrigation, erosion control, and flood protecti...
Water Sodium Linear Models Neural Networks, Computer Soil
View on PubMed DOI

Mining and rational design of psychrophilic catalases using metagenomics and deep learning models.

Applied microbiology and biotechnology Jan 4, 2024
A complete catalase-encoding gene, designated soiCat1, was obtained from soil samples via metagenomic sequencing, assembly, and gene prediction. soiCat1 showed 73% identity to a catalase-encoding gene of Mucilaginibacter rubeus strain P1, and the ami...
Amino Acid Sequence Catalase Deep Learning Amino Acids Soil
View on PubMed DOI

Development of a robust daily soil temperature estimation in semi-arid continental climate using meteorological predictors based on computational intelligent paradigms.

PloS one Dec 27, 2023
Changes in soil temperature (ST) play an important role in the main mechanisms within the soil, including biological and chemical activities. For instance, they affect the microbial community composition, the speed at which soil organic matter breaks...
Desert Climate Temperature Artificial Intelligence Wind Soil
View on PubMed DOI

Efficient remediation of different concentrations of Cr-contaminated soils by nano zero-valent iron modified with carboxymethyl cellulose and biochar.

Journal of environmental sciences (China) Dec 18, 2023
Nano zero-valent iron (nZVI) is widely used in soil remediation due to its high reactivity. However, the easy agglomeration, poor antioxidant ability and passivation layer of Fe-Cr coprecipitates of nZVI have limited its application scale in Cr-conta...
Environmental Restoration and Remediation Iron Soil Pollutants Charcoal Soil Metal Nanoparticles Chromium Carboxymethylcellulose Sodium
View on PubMed DOI

Multitask Deep Learning Enabling a Synergy for Cadmium and Methane Mitigation with Biochar Amendments in Paddy Soils.

Environmental science & technology Dec 12, 2023
Biochar has demonstrated significant promise in addressing heavy metal contamination and methane (CH) emissions in paddy soils; however, achieving a synergy between these two goals is challenging due to various variables, including the characteristic...
Cadmium Deep Learning Charcoal Artificial Intelligence Methane Soil Oryza
View on PubMed DOI

Predicting the efficiency of arsenic immobilization in soils by biochar using machine learning.

Journal of environmental sciences (China) Nov 27, 2023
Arsenic (As) pollution in soils is a pervasive environmental issue. Biochar immobilization offers a promising solution for addressing soil As contamination. The efficiency of biochar in immobilizing As in soils primarily hinges on the characteristics...
Machine Learning Soil Arsenic Soil Pollutants Models, Chemical Charcoal
View on PubMed DOI

Decontamination of a robot used to reprocess reusable surgical instruments.

The Journal of hospital infection Oct 28, 2023
BACKGROUND: Using robots to handle medical devices in the decontamination area of the Central Sterile Supply Department (CSSD) can reduce risks and address staff shortages. The gripper design must allow reliable cleaning using standard CSSD procedure...
Humans Soil Robotics Decontamination Equipment Contamination Surgical Instruments
View on PubMed DOI
Popular Topics
Recent Journals