AIMC Topic: Nutrients

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Soil Nutrient Estimation and Mapping in Farmland Based on UAV Imaging Spectrometry.

Sensors (Basel, Switzerland) Jun 6, 2021
Soil nutrient is one of the most important properties for improving farmland quality and product. Imaging spectrometry has the potential for rapid acquisition and real-time monitoring of soil characteristics. This study aims to explore the preprocess...
Support Vector Machine Least-Squares Analysis Nutrients Soil Farms
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Application of ANN and SVM for prediction nutrients in rivers.

Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering Jun 1, 2021
This paper presents the results of predicting nutrients in rivers on national level by the use of two artificial intelligence methodologies. Artificial neural network (ANN) and support vector machine (SVM) were used to predict annual concentration of...
Artificial Intelligence Support Vector Machine Nutrients Humans Neural Networks, Computer Rivers
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Image-based nutrient estimation for Chinese dishes using deep learning.

Food research international (Ottawa, Ont.) May 24, 2021
Food image recognition systems facilitate dietary assessment and in turn track users' dietary behaviors. However, due to the diversity of Chinese food, a quick and accurate food image recognizing is a particularly challenging task. The success of dee...
China Nutrients Artificial Intelligence Deep Learning Neural Networks, Computer
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Artificial Intelligence in Nutrients Science Research: A Review.

Nutrients Jan 22, 2021
Artificial intelligence (AI) as a branch of computer science, the purpose of which is to imitate thought processes, learning abilities and knowledge management, finds more and more applications in experimental and clinical medicine. In recent decades...
Machine Learning Biomedical Research Nutrients Neural Networks, Computer Artificial Intelligence Humans
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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 ...
Nitrates Nutrients Sewage Phosphorus Biofilms Bioreactors Denitrification Waste Disposal, Fluid Nitrogen In Situ Hybridization, Fluorescence
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Comprehensive nutrient analysis in agricultural organic amendments through non-destructive assays using machine learning.

PloS one Dec 10, 2020
Portable X-ray fluorescence (pXRF) and Diffuse Reflectance Fourier Transformed Mid-Infrared (DRIFT-MIR) spectroscopy are rapid and cost-effective analytical tools for material characterization. Here, we provide an assessment of these methods for the ...
Machine Learning Soil Organic Agriculture Fertilizers Spectrometry, X-Ray Emission Spectroscopy, Fourier Transform Infrared Nutrients
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Deep Learning for Non-Invasive Diagnosis of Nutrient Deficiencies in Sugar Beet Using RGB Images.

Sensors (Basel, Switzerland) Oct 18, 2020
In order to enable timely actions to prevent major losses of crops caused by lack of nutrients and, hence, increase the potential yield throughout the growing season while at the same time prevent excess fertilization with detrimental environmental c...
Fertilizers Beta vulgaris Nutrients Sugars Deep Learning Food Analysis
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Using Deep Convolutional Neural Networks for Image-Based Diagnosis of Nutrient Deficiencies in Rice.

Computational intelligence and neuroscience Sep 9, 2020
Symptoms of nutrient deficiencies in rice plants often appear on the leaves. The leaf color and shape, therefore, can be used to diagnose nutrient deficiencies in rice. Image classification is an efficient and fast approach for this diagnosis task. D...
Nutrients Neural Networks, Computer Plant Leaves Oryza Support Vector Machine
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Application of artificial neural network and multiple linear regression in modeling nutrient recovery in vermicompost under different conditions.

Bioresource technology Jan 29, 2020
Vermicomposting is one of the best technologies for nutrient recovery from solid waste. This study aims to assess the efficiency of Artificial Neural Network (ANN) and Multiple Linear Regression (MLR) models in predicting nutrient recovery from solid...
Linear Models Multivariate Analysis Nutrients Phosphorus Neural Networks, Computer
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Using machine learning to estimate herbage production and nutrient uptake on Irish dairy farms.

Journal of dairy science Aug 22, 2019
Nutrient management on grazed grasslands is of critical importance to maintain productivity levels, as grass is the cheapest feed for ruminants and underpins these meat and milk production systems. Many attempts have been made to model the relationsh...
Dairying Machine Learning Ireland Female Poaceae Cattle Milk Lactation Animal Feed Nutrients Animals Diet
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