AIMC Topic: Nitrogen

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Development of an artificial neural network model to simulate the growth of microalga Chlorella vulgaris incorporating the effect of micronutrients.

Journal of biotechnology Feb 22, 2020
Artificial neural network (ANN) models can be trained to simulate the dynamic behavior of biological systems. In the present study, an ANN model was developed upon multilayer perceptron neural network architecture with 23-20-1 configuration to predic...
Microalgae Neural Networks, Computer Models, Biological Databases, Factual Temperature Nitrogen Algorithms Carbon Dioxide Micronutrients Cell Culture Techniques Chlorella vulgaris
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Microbial Decolorization of Triazo Dye, Direct Blue 71: An Optimization Approach Using Response Surface Methodology (RSM) and Artificial Neural Network (ANN).

BioMed research international Feb 18, 2020
The release of wastewater from textile dyeing industrial sectors is a huge concern with regard to pollution as the treatment of these waters is truly a challenging process. Hence, this study investigates the triazo bond Direct Blue 71 (DB71) dye deco...
Water Decolorization Carbon Neural Networks, Computer Bacteria Nitrogen Biodegradation, Environmental Hydrogen-Ion Concentration Azo Compounds Metagenomics
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Comparing artificial intelligence techniques for chlorophyll-a prediction in US lakes.

Environmental science and pollution research international Sep 3, 2019
Chlorophyll-a (CHLA) is a key indicator to represent eutrophication status in lakes. In this study, CHLA, total phosphorus (TP), total nitrogen (TN), turbidity (TB), and Secchi depth (SD) collected by the United States Environmental Protection Agency...
Algorithms Ecosystem Eutrophication Artificial Intelligence Cluster Analysis Nitrogen Phosphorus Lakes United States Environmental Monitoring United States Environmental Protection Agency Water Quality Chlorophyll Chlorophyll A
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Using artificial neural network in determining postharvest LIFE of kiwifruit.

Journal of the science of food and agriculture Jul 18, 2019
BACKGROUND: Artificial intelligence systems have been employed for the development of predictive models that estimate many agricultural processes.
Fruit Actinidia Neural Networks, Computer Magnesium Nitrogen Potassium Calcium
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Non-Invasive Sensing of Nitrogen in Plant Using Digital Images and Machine Learning for ssp. L.

Sensors (Basel, Switzerland) May 29, 2019
Monitoring plant nitrogen (N) in a timely way and accurately is critical for precision fertilization. The imaging technology based on visible light is relatively inexpensive and ubiquitous, and open-source analysis tools have proliferated. In this st...
Models, Theoretical Nitrogen Brassica Nutrition Assessment Biomass Machine Learning Image Processing, Computer-Assisted Algorithms Phenotype
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Comprehensive Eutrophication Assessment Based on Fuzzy Matter Element Model and Monte Carlo-Triangular Fuzzy Numbers Approach.

International journal of environmental research and public health May 19, 2019
Evaluating the eutrophication level of lakes with a single method alone is challenging since uncertain, fuzzy, and complex processes exist in eutrophication evaluations. The parameters selected for assessing eutrophication include chlorophyII-a, chem...
Uncertainty Nitrogen Phosphorus Monte Carlo Method Water Eutrophication Models, Theoretical Lakes Fuzzy Logic China
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Machine Learning Algorithms for Liquid Crystal-Based Sensors.

ACS sensors Oct 19, 2018
We present a machine learning (ML) framework to optimize the specificity and speed of liquid crystal (LC)-based chemical sensors. Specifically, we demonstrate that ML techniques can uncover valuable feature information from surface-driven LC orientat...
Biphenyl Compounds Organophosphorus Compounds Nitriles Perchlorates Aluminum Compounds Liquid Crystals Software Water Nitrogen Machine Learning
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Variable weighted convolutional neural network for the nitrogen content quantization of Masson pine seedling leaves with near-infrared spectroscopy.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Oct 15, 2018
Spectroscopy is a powerful non-destructive quantization tool. In this paper, the technology is used to predict the nitrogen content of Masson pine seedling leaves. Masson pine is widely planted in China, and its nitrogen content is an important index...
Nitrogen China Plant Leaves Pinus Seedlings Neural Networks, Computer Spectroscopy, Near-Infrared
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Nondestructive determination of freshness indicators for tilapia fillets stored at various temperatures by hyperspectral imaging coupled with RBF neural networks.

Food chemistry Sep 15, 2018
This study develops a reliable radial basis function neural networks (RBFNNs) to estimate freshness for tilapia fillets stored under non-isothermal conditions by using optimal wavelengths from hyperspectral imaging (HSI). The results show that, for t...
Neural Networks, Computer Food Quality Temperature Animals Nitrogen Tilapia Seafood Food Storage
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The key role of inoculated sludge in fast start-up of sequencing batch reactor for the domestication of aerobic granular sludge.

Journal of environmental sciences (China) Sep 7, 2018
Two types of inoculated sludges, granular sludge that had been stored at -20°C and activated sludge, were investigated for the domestication of aerobic granular sludges (AGSs) in sequencing batch reactors (SBRs). The results showed that using the sto...
Phosphorus Water Pollutants, Chemical Sewage Biomass Bioreactors Aerobiosis Waste Disposal, Fluid Nitrogen Ammonium Compounds Biological Oxygen Demand Analysis
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