AIMC Topic: Soil

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Vibro-Acoustic Distributed Sensing for Large-Scale Data-Driven Leak Detection on Urban Distribution Mains.

Sensors (Basel, Switzerland) Sep 13, 2022
Non-surfacing leaks constitute the dominant source of water losses for utilities worldwide. This paper presents advanced data-driven analysis methods for leak monitoring using commercial field-deployable semi-permanent vibro-acoustic sensors, evaluat...
Acoustics Neural Networks, Computer Water Soil
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Assessment of the uncertainty and interpretability of deep learning models for mapping soil salinity using DeepQuantreg and game theory.

Scientific reports Sep 7, 2022
This research introduces a new combined modelling approach for mapping soil salinity in the Minab plain in southern Iran. This study assessed the uncertainty (with 95% confidence limits) and interpretability of two deep learning (DL) models (deep bol...
Soil Deep Learning Uncertainty Game Theory Sand Salinity
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Modeling resilient modulus of subgrade soils using LSSVM optimized with swarm intelligence algorithms.

Scientific reports Aug 24, 2022
Resilient modulus (Mr) of subgrade soils is one of the crucial inputs in pavement structural design methods. However, the spatial variability of soil properties and the nature of test protocols, the laboratory determination of Mr has become inexpedie...
Soil Support Vector Machine Algorithms Intelligence Least-Squares Analysis
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RootPainter: deep learning segmentation of biological images with corrective annotation.

The New phytologist Aug 10, 2022
Convolutional neural networks (CNNs) are a powerful tool for plant image analysis, but challenges remain in making them more accessible to researchers without a machine-learning background. We present RootPainter, an open-source graphical user interf...
Neural Networks, Computer Machine Learning Deep Learning Soil Image Processing, Computer-Assisted
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Simulation of Transmission System of Crawler Self-propelled Rotary Tiller Based on Deep Learning.

Computational intelligence and neuroscience Jul 30, 2022
Because of its good performance, crawler-type running gear plays a very important role in the fields of modern agriculture. This article aims to study the construction of the drive system of the crawler self-propelled rotary tiller with the deep lear...
Soil Deep Learning Oryza Agriculture
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Comparing Delphi-fuzzy AHP and fuzzy logic membership in soil fertility assessment: a study of an active Ganga Delta in Sundarban Biosphere Reserve, India.

Environmental science and pollution research international Jul 29, 2022
The present study led to setting up a grid-based soil fertility map along with the best fit model in the coastal regions based on soil physical (coarse, sand, silt, clay, bulk density), chemical (CEC, pH, and soil organic carbon), topographic (elevat...
Fuzzy Logic Clay Carbon Soil India
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Evolutionary Game Analysis of Farmers' Conservation Tillage Behavior in Black Soil Areas Guided by Deep Learning.

Computational intelligence and neuroscience Jun 25, 2022
To better protect the rights and interests of farmers, the evolutionary game theory and deep learning (DL) technology are used to analyze the conservation tillage behavior of farmers in black soil areas. Firstly, the basic hypotheses are put forward ...
Game Theory Farmers Humans Biological Evolution Soil Deep Learning
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Agrobot Lala-An Autonomous Robotic System for Real-Time, In-Field Soil Sampling, and Analysis of Nitrates.

Sensors (Basel, Switzerland) May 31, 2022
This paper presents an autonomous robotic system, an unmanned ground vehicle (UGV), for in-field soil sampling and analysis of nitrates. Compared to standard methods of soil analysis it has several advantages: each sample is individually analyzed com...
Soil Artificial Intelligence Robotic Surgical Procedures Robotics Nitrates
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Predicting daily soil temperature at multiple depths using hybrid machine learning models for a semi-arid region in Punjab, India.

Environmental science and pollution research international May 21, 2022
Prediction of soil temperature (ST) at multiple depths is important for maintaining the physical, chemical, and biological activities in soil for various scientific aspects. The present study was conducted in a semi-arid region of Punjab to predict t...
Soil Machine Learning Neural Networks, Computer Temperature Algorithms
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An insight into the act of iron to impede arsenic toxicity in paddy agro-system.

Journal of environmental management May 20, 2022
Surplus research on the widespread arsenic (As) revealed its disturbing role in obstructing the metabolic function of plants. Also, the predilection of As towards rice has been an interesting topic. Contrary to As, iron (Fe) is an essential micronutr...
Oryza Soil Pollutants Arsenic Soil Iron Plant Roots Prospective Studies
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