Listar Artículos de revista DING - INGS Aldizkari artikuluak por tema "Machine learning"
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Combination of spectral and textural features of hyperspectral imaging for the authentication of the diet supplied to fattening cattle
This study explored the potential of hyperspectral imaging in the near infrared region (NIR-HSI) as a non-destructive and rapid tool to discriminate among two beef fattening diets. For that purpose, a feeding trial was ... -
A comparison of performance of SWAT and machine learning models for predicting sediment load in a forested Basin, Northern Spain
In water bodies, sediment transport is a potential source of numerous negative effects on water resource projects and can damage environmental services. Two machine learning (ML) algorithms, the M5P and random forest (RF) ... -
Dynamic prediction of effective runoff sediment particle size for improved assessment of erosion mitigation efficiency with vegetative filter strips
The most widely implemented mitigation measure to reduce transfer of surface runoff pesticides and other pollutants to surface water bodies are vegetative filter strips (VFS). The most commonly used dynamic model for ... -
A systematized review on the applications of hyperspectral imaging for quality control of potatoes
The application of hyperspectral imaging (HSI) has gained signifcant importance in the past decade, particulary in the context of food analysis, including potatoes. However, the current literature lacks a comprehensive ...