AIMC Topic: Nitrogen

Clear Filters Showing 11 to 20 of 114 articles

Unveiling the potential of Brachiaria ruziziensis: Comparative analysis of multivariate and machine learning models for biomass and NPK prediction using Vis-NIR-SWIR spectroscopy.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Feb 18, 2025
This study investigated the development and validation of predictive models for estimating foliar nitrogen (N), phosphorus (P), and potassium (K) contents, along with shoot dry mass (SDM) of Brachiaria ruziziensis L. The approach utilized Vis-NIR-SWI...
Multivariate Analysis Brachiaria Potassium Phosphorus Biomass Spectroscopy, Near-Infrared Support Vector Machine Plant Leaves Least-Squares Analysis Nitrogen Machine Learning
View on PubMed DOI

Carbon source dosage intelligent determination using a multi-feature sensitive back propagation neural network model.

Journal of environmental management Feb 15, 2025
The carbon reduction concept drives the development of low-carbon and sustainable wastewater treatment plant (WWTP) operation technologies. In the denitrification stage of WWTPs in China, there are widespread problems of uneconomical dosage consumpti...
Neural Networks, Computer Waste Disposal, Fluid Carbon Nitrogen Machine Learning Wastewater China
View on PubMed DOI

Assessing the impact of rainfall, topography, and human disturbances on nutrient levels using integrated machine learning and GAMs models in the Choctawhatchee River Watershed.

Journal of environmental management Jan 31, 2025
Nutrient pollution caused by excessive total nitrogen (TN) and total phosphorus (TP) is a significant environmental challenge globally, threatening water quality and ecosystem health. This study investigates the interplay between rainfall, topography...
Phosphorus Water Quality Rivers Rain Water Pollutants, Chemical Nitrogen Nutrients Machine Learning Environmental Monitoring Humans
View on PubMed DOI

Integrating machine learning models for optimizing ecosystem health assessments through prediction of nitrate-N concentrations in the lower stretch of Ganga River, India.

Environmental science and pollution research international Jan 30, 2025
Nitrate, a highly reactive form of inorganic nitrogen, is commonly found in aquatic environments. Understanding the dynamics of nitrate-N concentration in rivers and its interactions with other water-quality parameters is crucial for effective freshw...
Water Pollutants, Chemical Nitrogen Nitrates India Environmental Monitoring Water Quality Rivers Machine Learning Ecosystem
View on PubMed DOI

Attention-based deep learning models for predicting anomalous shock of wastewater treatment plants.

Water research Jan 23, 2025
Quickly grasping the time-consuming water quality indicators (WQIs) such as total nitrogen (TN) and total phosphorus (TP) of influent is an essential prerequisite for wastewater treatment plants (WWTPs) to prompt respond to sudden shock loads. Soft d...
Deep Learning Waste Disposal, Fluid Machine Learning Phosphorus Neural Networks, Computer Nitrogen Water Quality Wastewater Water Purification
View on PubMed DOI

Enhanced prediction of partial nitrification-anammox process in wastewater treatment by developing an attention-based deep learning network.

Journal of environmental management Jan 9, 2025
In the process of partial nitrification and anaerobic ammonia oxidation (anammox) for nitrogen removal, the process offers simple metabolic pathways, low operating costs, and high nitrogenous loading rates. However, since the partial nitrification-an...
Deep Learning Waste Disposal, Fluid Oxidation-Reduction Wastewater Ammonia Nitrification Bioreactors Nitrogen
View on PubMed DOI

Quality prediction of air-cured cigar tobacco leaf using region-based neural networks combined with visible and near-infrared hyperspectral imaging.

Scientific reports Dec 28, 2024
Visible and Near-infrared hyperspectral imaging (VNIR-HSI) combined with machine learning has shown its effectiveness in various detection applications. Specifically, the quality of cigar tobacco leaves undergoes subtle changes due to environmental d...
Nitrogen Tobacco Products Neural Networks, Computer Deep Learning Nicotiana Hyperspectral Imaging Plant Leaves Spectroscopy, Near-Infrared Chlorophyll
View on PubMed DOI

Machine learning-based prediction of compost maturity and identification of key parameters during manure composting.

Bioresource technology Dec 26, 2024
Evaluating compost maturity, e.g. via manual seed germination index (GI) measurement, is both time-consuming and costly during composting. This study employed six machine learning methods, including random forest (RF), extra tree (ET), eXtreme gradie...
Machine Learning Manure Soil Germination Electric Conductivity Neural Networks, Computer Nitrogen Composting Seeds
View on PubMed DOI

Predicting the adsorption of ammonia nitrogen by biochar in water bodies using machine learning strategies: Model optimization and analysis of key characteristic variables.

Environmental research Dec 14, 2024
Biochar adsorption technology has been widely used to remove ammonia nitrogen from water bodies. However, existing methods for predicting adsorption efficiency often lack sufficient accuracy and practical usability. This study evaluated eight machine...
Machine Learning Water Purification Water Pollutants, Chemical Adsorption Ammonia Charcoal Nitrogen
View on PubMed DOI

Insights into the characteristics and toxicity of microalgal biochar-derived dissolved organic matter by spectroscopy and machine learning.

The Science of the total environment Nov 20, 2024
Microalgal biochar has potential applications in various fields; however, there is limited research on the properties and risks of microalgal biochar-derived dissolved organic matter (MBDOM). This study examined how different pyrolysis temperatures (...
Phosphorus Machine Learning Water Pollutants, Chemical Microalgae Organic Chemicals Spectrum Analysis Charcoal Nitrogen
View on PubMed DOI
Popular Topics
Recent Journals