AIMC Topic: Soil

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Data Analysis and Knowledge Mining of Machine Learning in Soil Corrosion Factors of the Pipeline Safety.

Computational intelligence and neuroscience May 6, 2022
The purpose of this research is to enhance the ability of data analysis and knowledge mining in soil corrosion factors of the pipeline. According to its multifactor characteristics, the rough set algorithm is directly used to analyze and process the ...
Corrosion Artificial Intelligence Algorithms Data Mining Soil Machine Learning Data Analysis
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Effective prediction of soil micronutrients using Additive Gaussian process with RAM augmentation.

Computational biology and chemistry Apr 20, 2022
In soil chemistry, the nutrients exhibit non-linear and complex relationships owing to their stochastic nature but mostly their similarity is a function of the distance between the data points. The similarity assessment using distance metrics is a po...
Algorithms Soil Normal Distribution Deep Learning Micronutrients
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Root-zone soil moisture estimation based on remote sensing data and deep learning.

Environmental research Apr 14, 2022
Soil moisture in the root zone is the most important factor in eco-hydrological processes. Even though soil moisture can be obtained by remote sensing, limited to the top few centimeters (<5 cm). Researchers have attempted to estimate root-zone soil ...
Artificial Intelligence Remote Sensing Technology Soil Water Deep Learning
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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...
Transaminases Nitrate Reductase Nitrogen Plants Phosphorus Soil Chlorophyll A Medicago sativa Amino Acids
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Evaluation of Creep Behavior of Soft Soils by Utilizing Multisensor Data Combined with Machine Learning.

Sensors (Basel, Switzerland) Apr 9, 2022
To identify the unknown values of the parameters of Burger's constitutive law, commonly used for the evaluation of the creep behavior of the soft soils, this paper demonstrates a procedure relying on the data obtained from multiple sensors, where eac...
Neural Networks, Computer Algorithms Clay Soil Machine Learning
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A low-cost approach for soil moisture prediction using multi-sensor data and machine learning algorithm.

The Science of the total environment Apr 7, 2022
A high-resolution soil moisture prediction method has recently gained its importance in various fields such as forestry, agricultural and land management. However, accurate, robust and non- cost prohibitive spatially monitoring of soil moisture is ch...
Machine Learning Water Radar Algorithms Soil
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Winter wheat yield prediction using convolutional neural networks from environmental and phenological data.

Scientific reports Feb 25, 2022
Crop yield forecasting depends on many interactive factors, including crop genotype, weather, soil, and management practices. This study analyzes the performance of machine learning and deep learning methods for winter wheat yield prediction using an...
Seasons Neural Networks, Computer Machine Learning Soil Triticum
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Human health risk identification of petrochemical sites based on extreme gradient boosting.

Ecotoxicology and environmental safety Feb 23, 2022
Petrochemical industry is a key industry of soil pollution, which presents great effects on human health and the ecological environment. It is of great significance to achieve rapid, economic and efficient health risk identification for petrochemical...
Risk Assessment Support Vector Machine Soil Humans Neural Networks, Computer Algorithms
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Modeling Soil Temperature for Different Days Using Novel Quadruplet Loss-Guided LSTM.

Computational intelligence and neuroscience Feb 17, 2022
Soil temperature ( ), a key variable in geosciences study, has generated growing interest among researchers. There are many factors affecting the spatiotemporal variation of , which poses immense challenges for the estimation. To enrich processi...
Temperature Soil Wind Neural Networks, Computer
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Rapid detection of ionic contents in water through sensor fusion and convolutional neural network.

Chemosphere Jan 25, 2022
Salt contents in soil or groundwater are one of the primary indicators to evaluate contamination levels. Electrical conductivity (EC) or salinity information from the conventional laboratory analysis is typically inefficient in delineating contaminat...
Neural Networks, Computer Spectrum Analysis Water Ions Soil
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