AIMC Topic: Soil

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Integrating artificial intelligence, machine learning, and deep learning approaches into remediation of contaminated sites: A review.

Chemosphere Oct 20, 2023
The growing number of contaminated sites across the world pose a considerable threat to the environment and human health. Remediating such sites is a cumbersome process with the complexity originating from the need for extensive sampling and testing ...
Humans Artificial Intelligence Soil Deep Learning Machine Learning Algorithms
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Role of modeling and artificial intelligence in process parameter optimization of biochar: A review.

Bioresource technology Oct 10, 2023
Enhancement of crop yield, conservation and quality upgradation of soil, and efficient water management are the main objectives of sustainable agriculture and mitigating climate change's impact on agriculture. In recent days, biochar, obtained via th...
Agriculture Charcoal Artificial Intelligence Soil
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The spatial distribution of interleukin-4 (IL-4) reference values in China based on a back propagation (BP) neural network.

Geospatial health Sep 13, 2023
This study aimed to investigate the geospatial distribution of normal reference values of Interleukin 4 (IL-4) in healthy Chinese adults and to provide a basis for the development of standard references. IL-4 values of 5,221 healthy adults from 64 ci...
Humans Neural Networks, Computer Soil Adult China Reference Values Interleukin-4
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Rainfall-Runoff modelling using SWAT and eight artificial intelligence models in the Murredu Watershed, India.

Environmental monitoring and assessment Aug 17, 2023
The growing concerns surrounding water supply, driven by factors such as population growth and industrialization, have highlighted the need for accurate estimation of streamflow at the river basin level. To achieve this, rainfall-runoff models are wi...
Environmental Monitoring Water India Soil Artificial Intelligence
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Soil Moisture and Heat Level Prediction for Plant Health Monitoring Using Deep Learning with Gannet Namib Beetle Optimization in IoT.

Applied biochemistry and biotechnology Aug 3, 2023
Plant health monitoring is crucial in ensuring a constant food supply to satisfy the growing demand for food. Hence, it is essential to monitor plant health to maximize the yield and minimize the risk of various diseases. Soil moisture and temperatur...
Plants Internet of Things Water Hot Temperature Coleoptera Soil Animals Deep Learning
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Dissolved organic matter evolution and straw decomposition rate characterization under different water and fertilizer conditions based on three-dimensional fluorescence spectrum and deep learning.

Journal of environmental management Jul 3, 2023
Straw returning is a sustainable way to utilize agricultural solid waste resources. However, incomplete decomposition of straw will cause harm to crop growth and soil quality. Currently, there is a lack of technology to timely monitor the rate of str...
Spectrometry, Fluorescence Deep Learning Fertilizers Dissolved Organic Matter Soil Agriculture
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Terrain Characterization via Machine vs. Deep Learning Using Remote Sensing.

Sensors (Basel, Switzerland) Jun 11, 2023
Terrain traversability is critical for developing Go/No-Go maps for ground vehicles, which significantly impact a mission's success. To predict the mobility of terrain, one must understand the soil characteristics. In-situ measurements performed in t...
Support Vector Machine Remote Sensing Technology Deep Learning Machine Learning Neural Networks, Computer Soil
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Soil carbon content prediction using multi-source data feature fusion of deep learning based on spectral and hyperspectral images.

Chemosphere Jun 9, 2023
Visible near-infrared reflectance spectroscopy (VNIR) and hyperspectral images (HSI) have their respective advantages in soil carbon content prediction, and the effective fusion of VNIR and HSI is of great significance for improving the prediction ac...
Carbon Sequestration Carbon Soil Carbon Cycle Deep Learning
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Fuzzy-based models' performance on qualitative and quantitative land suitability evaluation for cotton cultivation in Sarayan County, South Khorasan Province, Iran.

Environmental monitoring and assessment Mar 20, 2023
Using appropriate models in the land use planning process will help increase the accuracy and precision of decisions made by designers. The aim of this study was to investigate and compare fuzzy-based models (fuzzy set theory, fuzzy-AHP, and fuzzy-AN...
Environmental Monitoring Geographic Information Systems Iran Fuzzy Logic Soil Models, Theoretical
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Combining Deep Learning and Hydrological Analysis for Identifying Check Dam Systems from Remote Sensing Images and DEMs in the Yellow River Basin.

International journal of environmental research and public health Mar 6, 2023
Identifying and extracting check dams is of great significance for soil and water conservation, agricultural management, and ecological assessment. In the Yellow River Basin, the check dam, as a system, generally comprises dam locations and dam-contr...
Remote Sensing Technology Soil Rivers Conservation of Water Resources Deep Learning
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