AIMC Topic: Grassland

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DASNet a dual branch multi level attention sheep counting network.

Scientific reports Jul 2, 2025
Grassland sheep counting is essential for both animal husbandry and ecological balance. Accurate population statistics help optimize livestock management and sustain grassland ecosystems. However, traditional counting methods are time-consuming and c...
Neural Networks, Computer Animals Sheep Grassland Unmanned Aerial Devices Animal Husbandry Deep Learning
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Unraveling four decades of soil acidification on the Qinghai-Tibetan Plateau: Patterns, drivers, and future projections.

Environmental pollution (Barking, Essex : 1987) May 2, 2025
Soil acidification poses escalating threats to ecosystem functions, yet its spatiotemporal dynamics and drivers across vulnerable high-altitude regions remain poorly resolved. Here, we integrate four-decade soil surveys (1980s-2020s) with machine lea...
Tibet Soil Hydrogen-Ion Concentration China Grassland Environmental Monitoring Ecosystem
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Aboveground biomass estimation in a grassland ecosystem using Sentinel-2 satellite imagery and machine learning algorithms.

Environmental monitoring and assessment Jan 6, 2025
The grassland ecosystem forms a critical part of the natural ecosystem, covering up to 15-26% of the Earth's land surface. Grassland significantly impacts the carbon cycle and climate regulation by storing carbon dioxide. The organic matter found in ...
Machine Learning Satellite Imagery Biomass Algorithms Environmental Monitoring Ecosystem Grassland
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Suitability of different machine learning algorithms for the classification of the proportion of grassland-based forages at the herd level using mid-infrared spectral information from routine milk control.

Journal of dairy science Aug 30, 2024
As the call for an international standard for milk from grassland-based production systems continues to grow, so too do the monitoring and evaluation policies surrounding this topic. Individual stipulations by countries and milk producers to market t...
Diet Cattle Animal Feed Female Animals Dairying Grassland Lactation Milk Machine Learning Algorithms
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Machine learning in soil nutrient dynamics of alpine grasslands.

The Science of the total environment Jun 25, 2024
As a terrestrial ecosystem, alpine grasslands feature diverse vegetation types and play key roles in regulating water resources and carbon storage, thus shaping global climate. The dynamics of soil nutrients in this ecosystem, responding to regional ...
Phosphorus Climate Change Grassland Nitrogen Nutrients Ecosystem Environmental Monitoring Machine Learning Soil
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Using multilayer perceptron and similarity-weighted machine learning algorithms to reconstruct the past: A case study of the agricultural expansion on grasslands in the Uruguayan savannas.

Integrated environmental assessment and management Nov 17, 2023
Changes in land use and land cover (LULC) have significant implications for biodiversity, ecosystem functioning, and deforestation. Modeling LULC changes is crucial to understanding anthropogenic impacts on environmental conservation and ecosystem se...
Conservation of Natural Resources Uruguay Grassland Neural Networks, Computer Agriculture Environmental Monitoring Machine Learning Biodiversity Algorithms
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Extraction of Intangible Cultural Heritage Visual Elements by Deep Learning and Its Application in Grassland Tourism of the Silk Road Culture.

Computational intelligence and neuroscience Jun 20, 2022
Inner Mongolia is rich in grassland tourism resources, and the development of grassland tourism is of great significance to Inner Mongolia tourism and promotion of grassland protection. To better promote the grassland tourism of the Silk Road culture...
Image Processing, Computer-Assisted Silk Tourism Grassland Deep Learning
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Valuation methodology of laminar erosion potential using fuzzy inference systems in a Brazilian savanna.

Environmental monitoring and assessment Sep 7, 2019
This study presents an approach on the evaluation of potential laminar erosion in the Ribeirão Sucuri Grande watershed. It is located in the northeast of the state of Goiás, Brazil, a conservation area under strong anthropogenic pressure. A Mamdani f...
Environmental Monitoring Water Movements Soil Fuzzy Logic Conservation of Natural Resources Rivers Brazil Grassland
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Using artificial neural networks to predict future dryland responses to human and climate disturbances.

Scientific reports Mar 7, 2019
Land degradation and sediment remobilisation in dryland environments is considered to be a significant global environmental problem. Given the potential for currently stabilised dune systems to reactivate under climate change and increased anthropoge...
Climate Change Humans Climate Neural Networks, Computer Grassland Ecosystem
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Multi-scale analysis of the relationship between landscape patterns and a water quality index (WQI) based on a stepwise linear regression (SLR) and geographically weighted regression (GWR) in the Ebinur Lake oasis.

Environmental science and pollution research international Dec 22, 2017
Water quality is highly dependent on landscape characteristics. This study explored the relationships between landscape patterns and water quality in the Ebinur Lake oasis in China. The water quality index (WQI) has been used to identify threats to w...
Rivers Environmental Monitoring Lakes Linear Models Water Quality China Grassland Spatial Regression
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