AIMC Topic: Nitrogen

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Effects of nitrogen and phosphorus addition on growth and leaf nitrogen metabolism of alfalfa in alkaline soil in Yinchuan Plain of Hetao Basin.

PeerJ Apr 13, 2022
Alkaline soil is widely distributed in China. Its rational utilization is an effective measure to solve land shortage and improve the environment. Alfalfa is characterized by strong salt and alkali tolerance and high yield and protein content. Nitrog...
Amino Acids Nitrogen Plants Soil Medicago sativa Transaminases Phosphorus Chlorophyll A Nitrate Reductase
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Concentration-dependent dual effects of exogenous sucrose on nitrogen metabolism in Andrographis paniculata.

Scientific reports Mar 22, 2022
The effects of exogenous sucrose (Suc) concentrations (0, 0.5, 1, 5, 10 mmol L) on carbon (C) and nitrogen (N) metabolisms were investigated in a medicinal plant Andrographis paniculata (Chuanxinlian). Suc application with the concentration of 0.5-5 ...
NAD Sucrose Andrographis paniculata Plant Leaves Nitrogen
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Developing a new approach for design support of subsurface constructed wetland using machine learning algorithms.

Journal of environmental management Oct 7, 2021
Knowing the effluent quality of treatment systems in advance to enable the design of treatment systems that comply with environmental standards is a realistic strategy. This study aims to develop machine learning - based predictive models for designi...
Algorithms Nitrogen Wetlands Machine Learning
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Evolutionarily informed machine learning enhances the power of predictive gene-to-phenotype relationships.

Nature communications Sep 24, 2021
Inferring phenotypic outcomes from genomic features is both a promise and challenge for systems biology. Using gene expression data to predict phenotypic outcomes, and functionally validating the genes with predictive powers are two challenges we add...
Genetic Variation Species Specificity Genome, Plant Zea mays Nitrogen Gene Expression Regulation, Plant Arabidopsis Transcriptome Genomics Genotype Models, Genetic Evolution, Molecular Machine Learning Phenotype
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Digital image processing technology under backpropagation neural network and K-Means Clustering algorithm on nitrogen utilization rate of Chinese cabbages.

PloS one Mar 31, 2021
The purposes are to monitor the nitrogen utilization efficiency of crops and intelligently evaluate the absorption of nutrients by crops during the production process. The research object is Chinese cabbage. The Chinese cabbage population with differ...
Agriculture Seeds Regression Analysis Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Brassica Plant Leaves Nitrogen
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Combined effects of volume ratio and nitrate recycling ratio on nutrient removal, sludge characteristic and microbial evolution for DPR optimization.

Journal of environmental sciences (China) Dec 17, 2020
The optimization of volume ratio (V/V/V) and nitrate recycling ratio (R) in a two-sludge denitrifying phosphorus removal (DPR) process of Anaerobic Anoxic Oxic-Moving Bed Biofilm Reactor (A/O-MBBR) was investigated. The results showed that prolonged ...
Phosphorus Denitrification In Situ Hybridization, Fluorescence Nitrates Sewage Bioreactors Nitrogen Nutrients Biofilms Waste Disposal, Fluid
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Dissection of hyperspectral reflectance to estimate nitrogen and chlorophyll contents in tea leaves based on machine learning algorithms.

Scientific reports Oct 15, 2020
Nondestructive techniques for estimating nitrogen (N) status are essential tools for optimizing N fertilization input and reducing the environmental impact of agricultural N management, especially in green tea cultivation, which is notably problemati...
Nitrogen Spectrum Analysis Chlorophyll Plant Leaves Camellia sinensis Machine Learning Algorithms
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Ensemble machine-learning-based framework for estimating total nitrogen concentration in water using drone-borne hyperspectral imagery of emergent plants: A case study in an arid oasis, NW China.

Environmental pollution (Barking, Essex : 1987) Aug 14, 2020
In arid and semi-arid regions, water-quality problems are crucial to local social demand and human well-being. However, the conventional remote sensing-based direct detection of water quality parameters, especially using spectral reflectance of water...
Water Nitrogen Plants Humans Machine Learning China
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Powerful, transferable representations for molecules through intelligent task selection in deep multitask networks.

Physical chemistry chemical physics : PCCP Jun 1, 2020
Chemical representations derived from deep learning are emerging as a powerful tool in areas such as drug discovery and materials innovation. Currently, this methodology has three major limitations - the cost of representation generation, risk of inh...
Fluorine Bromine Oxygen Nitrogen Phosphorus Chlorine Hydrogen Sulfur Iodine Metals Carbon Deep Learning
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Machine-Learning-Enabled Exploration of Morphology Influence on Wire-Array Electrodes for Electrochemical Nitrogen Fixation.

The journal of physical chemistry letters May 29, 2020
Neural networks, trained on data generated by a microkinetic model and finite-element simulations, expand explorable parameter space by significantly accelerating the predictions of electrocatalytic performance. In addition to modeling electrode reac...
Oxidation-Reduction Electrochemical Techniques Nitrogen Electrodes Proof of Concept Study Neural Networks, Computer Machine Learning Nanowires
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