AIMC Topic: Ammonia
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Machine learning for manually-measured water quality prediction in fish farming.
PloS one
Aug 18, 2021
Monitoring variables such as dissolved oxygen, pH, and pond temperature is a key aspect of high-quality fish farming. Machine learning (ML) techniques have been proposed to model the dynamics of such variables to improve the fish farmer's decision-ma...
Analysis of Behavior Trajectory Based on Deep Learning in Ammonia Environment for Fish.
Sensors (Basel, Switzerland)
Aug 8, 2020
Ammonia can be produced by the respiration and excretion of fish during the farming process, which can affect the life of fish. In this paper, to research the behavior of fish under different ammonia concentration and make the corresponding judgment ...
Using artificial neural networks to predict pH, ammonia, and volatile fatty acid concentrations in the rumen.
Journal of dairy science
Aug 1, 2019
The objectives of this study were (1) to predict ruminal pH and ruminal ammonia and volatile fatty acid (VFA) concentrations by developing artificial neural networks (ANN) using dietary nutrient compositions, dry matter intake, and body weight as inp...
In vitro colonic fermentation of Mexican "taco" from corn-tortilla and black beans in a Simulator of Human Microbial Ecosystem (SHIME®) system.
Food research international (Ottawa, Ont.)
Jun 2, 2018
A Mexican staple food prepared with corn "tortilla" (Zea mays L.) and common beans (Phaseolus vulgaris L.) is named as "taco". It was fermented in an in vitro colonic Simulator of Human Microbial Ecosystem (SHIME®) to evaluate the effect in short cha...
Effluent composition prediction of a two-stage anaerobic digestion process: machine learning and stoichiometry techniques.
Environmental science and pollution research international
May 16, 2018
Computational self-adapting methods (Support Vector Machines, SVM) are compared with an analytical method in effluent composition prediction of a two-stage anaerobic digestion (AD) process. Experimental data for the AD of poultry manure were used. Th...
A fuzzy logic urea dosage controller design for two-cell selective catalytic reduction systems.
ISA transactions
Dec 23, 2017
Diesel engines have dominated in the heavy-duty vehicular and marine power source. However, the induced air pollution is a big problem. As people's awareness of environmental protection increasing, the emission regulations of diesel-engine are becomi...
Fuzzy comprehensive evaluation of multiple environmental factors for swine building assessment and control.
Journal of hazardous materials
Jul 12, 2017
In confined swine buildings, temperature, humidity, and air quality are all important for animal health and productivity. However, the current swine building environmental control is only based on temperature; and evaluation and control methods based...
A prediction model of ammonia emission from a fattening pig room based on the indoor concentration using adaptive neuro fuzzy inference system.
Journal of hazardous materials
Dec 6, 2016
Ammonia (NH) is considered one of the significant pollutions contributor to indoor air quality and odor gas emission from swine house because of the negative impact on the health of pigs, the workers and local environment. Prediction models could pro...
Achieving partial nitrification by inhibiting the activity of Nitrospira-like bacteria under high-DO conditions in an intermittent aeration reactor.
Journal of environmental sciences (China)
Oct 6, 2016
It is generally accepted that a low dissolved oxygen (DO) concentration is more beneficial for achieving partial nitrification than high-DO. In this study, partial nitrification was not established under low-DO conditions in an intermittent aeration ...
Artificial Intelligence for the Evaluation of Operational Parameters Influencing Nitrification and Nitrifiers in an Activated Sludge Process.
Microbial ecology
Feb 23, 2016
Nitrification at a full-scale activated sludge plant treating municipal wastewater was monitored over a period of 237 days. A combination of fluorescent in situ hybridization (FISH) and quantitative real-time polymerase chain reaction (qPCR) were use...
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