AIMC Topic: Soil

Clear Filters Showing 161 to 170 of 281 articles

Prediction of Soil Water-Soluble Organic Matter by Continuous Use of Corn Biochar Using Three-Dimensional Fluorescence Spectra and Deep Learning.

Computational intelligence and neuroscience Mar 6, 2023
The purpose is to study the soil's water-soluble organic matter and improve the utilization rate of the soil layer. This exploration is based on the theories of three-dimensional fluorescence spectroscopy, deep learning, and biochar. Chernozem in Har...
Deep Learning Water Fluorescence Nitrogen Carbon Zea mays Soil
View on PubMed DOI

Comparison of machine learning and deep learning models for evaluating suitable areas for premium teas in Yunnan, China.

PloS one Feb 24, 2023
BACKGROUND: Tea is an important economic crop in Yunnan, and the market price of premium teas such as Lao Banzhang is significantly higher than ordinary teas. For planting lands to promote, the tea industry to develop and minority lands' economies to...
Soil Tea Deep Learning China Camellia sinensis
View on PubMed DOI

As good as human experts in detecting plant roots in minirhizotron images but efficient and reproducible: the convolutional neural network "RootDetector".

Scientific reports Jan 25, 2023
Plant roots influence many ecological and biogeochemical processes, such as carbon, water and nutrient cycling. Because of difficult accessibility, knowledge on plant root growth dynamics in field conditions, however, is fragmentary at best. Minirhiz...
Plant Roots Humans Reproducibility of Results Neural Networks, Computer Carbon Soil
View on PubMed DOI

Design of a special rigid wheel for traversing loose soil.

Scientific reports Jan 4, 2023
Wheels play an important role in mobile robotics, wheelchairs and vehicles and represent an ideal solution for traversing rigid ground due to higher efficiency. Through traversing loose soil, the rigid wheels lose traction because of sinking and high...
Soil Sand Robotics Wheelchairs Locomotion
View on PubMed DOI

Statistical evaluation of testing conditions on the saturated hydraulic conductivity of Brazilian lateritic soils using artificial intelligence approaches.

Scientific reports Nov 27, 2022
The saturated hydraulic conductivity, k, is a crucial variable to describe the hydromechanical behavior of soils. The value of k of lateritic soils that are typically found in tropical regions is highly affected by the soil's structure, void ratio, a...
Chemical Phenomena Electric Conductivity Brazil Artificial Intelligence Soil
View on PubMed DOI

A Machine Learning Architecture Replacing Heavy Instrumented Laboratory Tests: In Application to the Pullout Capacity of Geosynthetic Reinforced Soils.

Sensors (Basel, Switzerland) Nov 10, 2022
For economical and sustainable benefits, conventional retaining walls are being replaced by geosynthetic reinforced soil (GRS). However, for safety and quality assurance purposes, prior tests of pullout capacities of these materials need to be perfor...
Neural Networks, Computer Machine Learning Algorithms Soil Bayes Theorem
View on PubMed DOI

Historical evolution and new trends for soil-intruder interaction modeling.

Bioinspiration & biomimetics Nov 9, 2022
Soil is a crucial resource for life on Earth. Every activity, whether natural or man-made, that interacts with the sub or deep soil can affect the land at large scales (e.g. geological risks). Understanding such interactions can help identify more su...
Soil Robotics Finite Element Analysis Humans Computer Simulation
View on PubMed DOI

Method to Develop Legs for Underwater Robots: From Multibody Dynamics with Experimental Data to Mechatronic Implementation.

Sensors (Basel, Switzerland) Nov 3, 2022
Exploration of the seabed may be complex, and different parameters must be considered for a robotic system to achieve tasks in this environment, such as soil characteristics, seabed gait, and hydrodynamic force in this extreme environment. This paper...
Torque Animals Robotics Gait Soil Dogs Biomechanical Phenomena
View on PubMed DOI

Inversion of Soil Organic Matter Content Based on Improved Convolutional Neural Network.

Sensors (Basel, Switzerland) Oct 13, 2022
Soil organic matter (SOM) is an important source of nutrients required during crop growth and is an important component of cultivated soil. In this paper, we studied the possibility of using deep learning methods to establish a multi-feature model to...
Soil Regression Analysis Neural Networks, Computer Linear Models Support Vector Machine
View on PubMed DOI

A robust prediction model for evaluation of plastic limit based on sieve # 200 passing material using gene expression programming.

PloS one Oct 3, 2022
This study aims to propose a novel and high-accuracy prediction model of plastic limit (PL) based on soil particles passing through sieve # 200 (0.075 mm) using gene expression programming (GEP). PL is used for the classification of fine-grained soil...
Gene Expression Clay Soil Plastics Sand Reproducibility of Results Artificial Intelligence
View on PubMed DOI
Popular Topics
Recent Journals