most citedAnalyzing Near-Infrared Hyperspectral Imaging for Protein Content Regression and Grain Variety Classification Using Bulk References and Varying Grain-to-Background Ratios

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2024

Challenges in explaining deep learning models for data with biological variation

Lenka Tětková, Erik Schou Dreier, Robin Malm +1

Much machine learning research progress is based on developing models and evaluating them on a benchmark dataset (e.g., ImageNet for images). However, applying such benchmark-succe…

cs.CV2023★ 2 cited

Analyzing Near-Infrared Hyperspectral Imaging for Protein Content Regression and Grain Variety Classification Using Bulk References and Varying Grain-to-Background Ratios

Ole-Christian Galbo Engstrøm, Erik Schou Dreier, Birthe Møller Jespersen +1

Based on previous work, we assess the use of NIR-HSI images for calibrating models on two datasets, focusing on protein content regression and grain variety classification. Limited…