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Image-Derived PM10 Estimation in Cattle Feedlot Using Machine Learning: Addressing Concentration Ranges Beyond Existing Digital Imaging Methods
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machine learningenvironmental monitoringimage processingagriculture
2609.20975
Builder Relevance
1h ago70%
Abstract
This study developed an image-based approach using machine learning to estimate PM10 concentrations in a commercial cattle feedlot, demonstrating feasibility across high concentration ranges.
Reality Card
Core Claim
The study successfully developed a machine learning model using image features to estimate PM10 concentrations in cattle feedlots, achieving an R^2 of 0.792.
Method / Result
XGBoost model achieved a median absolute error of 103 ug/m^-3.
Limitations
Prediction accuracy during the sunset transition remains an area for further refinement.
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