AIMC Topic: Nitrogen

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Application of machine learning approaches to predict ammonium nitrogen transport in different soil types and evaluate the contribution of control factors.

Ecotoxicology and environmental safety Aug 17, 2024
The loss of nitrogen in soil damages the environment. Clarifying the mechanism of ammonium nitrogen (NH-N) transport in soil and increasing the fixation of NH-N after N application are effective methods for improving N use efficiency. However, the ma...
Machine Learning Soil Environmental Monitoring Ammonium Compounds Soil Pollutants Nitrogen
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Determination of soluble solids content in tomatoes with different nitrogen levels based on hyperspectral imaging technique.

Journal of food science Aug 13, 2024
Tomato is sweet and sour with high nutritional value, and soluble solids content (SSC) is an important indicator of tomato flavor. Due to the different mechanisms of nitrogen uptake and assimilation in plants, exogenous supply of different forms of n...
Nitrogen Fruit Hyperspectral Imaging Fertilizers Nutritive Value Neural Networks, Computer Solanum lycopersicum
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Low-carbon wastewater treatment and resource recovery of recirculating aquaculture system by immobilized chlorella vulgaris based on machine learning optimization.

Bioresource technology Aug 3, 2024
Immobilized microalgae biotechnologies can conserve water and space by low-carbon wastewater treatment and resource recovery in a recirculating aquaculture system (RAS). However, technical process parameters have been unoptimized considering the mutu...
Water Purification Biomass Aquaculture Machine Learning Wastewater Alginates Cells, Immobilized Chlorella vulgaris Nitrogen Microalgae Carbon
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Artificial neural network modeling for the prediction, estimation, and treatment of diverse wastewaters: A comprehensive review and future perspective.

Chemosphere Jul 15, 2024
The application of artificial neural networks (ANNs) in the treatment of wastewater has achieved increasing attention, as it enhances the efficiency and sustainability of wastewater treatment plants (WWTPs). This paper explores the application of ANN...
Phosphorus Biological Oxygen Demand Analysis Water Pollutants, Chemical Bioreactors Nitrogen Water Purification Waste Disposal, Fluid Neural Networks, Computer Wastewater
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Optimization of a Novel Engineered Ecosystem Integrating Carbon, Nitrogen, Phosphorus, and Sulfur Biotransformation for Saline Wastewater Treatment Using an Interpretable Machine Learning Approach.

Environmental science & technology Jul 10, 2024
The denitrifying sulfur (S) conversion-associated enhanced biological phosphorus removal (DS-EBPR) process for treating saline wastewater is characterized by its unique microbial ecology that integrates carbon (C), nitrogen (N), phosphorus (P), and S...
Nitrogen Phosphorus Denitrification Waste Disposal, Fluid Carbon Biotransformation Sulfur Wastewater Ecosystem Machine Learning
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Machine learning in soil nutrient dynamics of alpine grasslands.

The Science of the total environment Jun 25, 2024
As a terrestrial ecosystem, alpine grasslands feature diverse vegetation types and play key roles in regulating water resources and carbon storage, thus shaping global climate. The dynamics of soil nutrients in this ecosystem, responding to regional ...
Environmental Monitoring Nitrogen Phosphorus Climate Change Nutrients Machine Learning Soil Ecosystem Grassland
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Machine Learning-Assisted Optimization of Mixed Carbon Source Compositions for High-Performance Denitrification.

Environmental science & technology Jun 20, 2024
Appropriate mixed carbon sources have great potential to enhance denitrification efficiency and reduce operational costs in municipal wastewater treatment plants (WWTPs). However, traditional methods struggle to efficiently select the optimal mixture...
Nitrogen Wastewater Denitrification Sewage Waste Disposal, Fluid Carbon Machine Learning
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Investigating molecular descriptors in cell-penetrating peptides prediction with deep learning: Employing N, O, and hydrophobicity according to the Eisenberg scale.

PloS one Jun 13, 2024
Cell-penetrating peptides comprise a group of molecules that can naturally cross the lipid bilayer membrane that protects cells, sharing physicochemical and structural properties, and having several pharmaceutical applications, particularly in drug d...
Cell-Penetrating Peptides Oxygen Neural Networks, Computer Nitrogen Deep Learning Hydrophobic and Hydrophilic Interactions
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An effective deep learning fusion method for predicting the TVB-N and TVC contents of chicken breasts using dual hyperspectral imaging systems.

Food chemistry May 28, 2024
Total volatile basic nitrogen (TVB-N) and total viable count (TVC) are important freshness indicators of meat. Hyperspectral imaging combined with chemometrics has been proven to be effective in meat detection. However, a challenge with chemometrics ...
Hyperspectral Imaging Animals Meat Deep Learning Spectroscopy, Near-Infrared Chickens Nitrogen
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Data fusion of near-infrared and Raman spectroscopy: An innovative tool for non-destructive prediction of the TVB-N content of salmon samples.

Food research international (Ottawa, Ont.) May 27, 2024
Total volatile basic nitrogen (TVB-N) serves as a crucial indicator for evaluating the freshness of salmon. This study aimed to achieve accurate and non-destructive prediction of TVB-N content in salmon fillets stored in multiple temperature settings...
Seafood Salmon Temperature Animals Spectroscopy, Near-Infrared Spectrum Analysis, Raman Least-Squares Analysis Nitrogen Support Vector Machine
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