AIMC Topic: Agriculture

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The Node Deployment of Intelligent Sensor Networks Based on the Spatial Difference of Farmland Soil.

Sensors (Basel, Switzerland) Nov 11, 2015
Considering that agricultural production is characterized by vast areas, scattered fields and long crop growth cycles, intelligent wireless sensor networks (WSNs) are suitable for monitoring crop growth information. Cost and coverage are the most key...
Fuzzy Logic Cluster Analysis Soil Agriculture Environmental Monitoring Artificial Intelligence
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Exploring supervised neighborhood preserving embedding (SNPE) as a nonlinear feature extraction method for vibrational spectroscopic discrimination of agricultural samples according to geographical origins.

Talanta Jul 9, 2015
Supervised neighborhood preserving embedding (SNPE), a nonlinear dimensionality reduction method, was employed to represent near-infrared (NIR) and Raman spectral features of agricultural samples (Angelica gigas, sesame, and red pepper), and the newl...
Capsicum Spectrum Analysis, Raman Support Vector Machine Angelica Geography Sesamum Spectroscopy, Near-Infrared Agriculture
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Inferring landscape-scale land-use impacts on rivers using data from mesocosm experiments and artificial neural networks.

PloS one Mar 16, 2015
Identifying land-use drivers of changes in river condition is complicated by spatial scale, geomorphological context, land management, and correlations among responding variables such as nutrients and sediments. Furthermore, variations in standard me...
Geologic Sediments Agriculture Neural Networks, Computer Biodiversity Models, Biological Rivers
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Modeling land use and land cover changes in a vulnerable coastal region using artificial neural networks and cellular automata.

Environmental monitoring and assessment Feb 3, 2015
As one of the most vulnerable coasts in the continental USA, the Lower Mississippi River Basin (LMRB) region has endured numerous hazards over the past decades. The sustainability of this region has drawn great attention from the international, natio...
Neural Networks, Computer Agriculture Environmental Monitoring Mississippi Rivers Conservation of Natural Resources Models, Theoretical Wetlands
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Landscape ethnoecological knowledge base and management of ecosystem services in a Székely-Hungarian pre-capitalistic village system (Transylvania, Romania).

Journal of ethnobiology and ethnomedicine Jan 7, 2015
BACKGROUND: Previous studies showed an in-depth ecological understanding by traditional people of managing natural resources. We studied the landscape ethnoecological knowledge (LEEK) of Székelys on the basis of 16-19(th) century village laws. We ana...
Humans Female Crops, Agricultural Knowledge Bases Agriculture Male Conservation of Natural Resources Rural Population Hungary Ecosystem Forests Romania
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Total nitrogen levels as a key constraint on soil organic carbon stocks across Australian agricultural soils.

Environmental research Aug 15, 2025
Understanding how pedoclimatic drivers regulate soil organic carbon (SOC) stock is crucial for gaining insights into terrestrial carbon-climate feedback and thus adaptation to climate change. However, current data-driven SOC predictive models often n...
Nitrogen Australia Climate Change Soil Carbon Agriculture
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Optimizing swine manure composting parameters with integrated CatBoost and XGBoost models: nitrogen loss mitigation and mechanism.

Journal of environmental management Jul 1, 2025
In this study, machine learning was used to optimize the aerobic composting process of swine manure to enhance nitrogen retention and compost maturity in order to meet the demand for high-quality organic fertilizers in sustainable agriculture. In thi...
Animals Swine Agriculture Machine Learning Soil Fertilizers Nitrogen Boosting Machine Learning Algorithms Manure Composting
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Evaluating crash risk factors of farm equipment vehicles on county and non-county roads using interpretable tabular deep learning (TabNet).

Accident; analysis and prevention Jul 1, 2025
Crashes involving farm equipment vehicles are a significant safety concern on public roads, particularly in rural and agricultural regions. These vehicles display unique challenges due to their slow-moving operational speed and interactions with fast...
Agriculture Accidents, Traffic Lighting Farms Deep Learning Motor Vehicles Risk Factors Male Humans
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Diverse Perspectives Illuminate the Intestinal Toxicity of Traditional and Biodegradable Agricultural Film Microplastics to under Varying Exposure Sequences.

Environmental science & technology May 27, 2025
The widespread use of plastic agricultural films necessitates a thorough evaluation of environmental risks posed by soil microplastics (MPs). While the intestinal tract is a critical site for MP interactions in soil organisms, current research predom...
Agriculture Intestines Microplastics Animals Oligochaeta Soil Pollutants
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Towards precision agriculture tea leaf disease detection using CNNs and image processing.

Scientific reports May 21, 2025
In this study, we introduce a groundbreaking deep learning (DL) model designed for the precise task of classifying common diseases in tea leaves, leveraging advanced image analysis techniques. Our model is distinguished by its complex multi-layer arc...
Deep Learning Image Processing, Computer-Assisted Agriculture Neural Networks, Computer Tea Plant Diseases Plant Leaves Camellia sinensis
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