Non-Destructive Peat Analysis using Hyperspectral Imaging and Machine Learning

arXiv:2405.02191v1 Announce Type: cross
Abstract: Peat, a crucial component in whisky production, imparts distinctive and irreplaceable flavours to the final product. However, the extraction of peat disrupts ancient ecosystems and releases significant amounts of carbon, contributing to climate change. This paper aims to address this issue by conducting a feasibility study on enhancing peat use efficiency in whisky manufacturing through non-destructive analysis using hyperspectral imaging. Results show that shot-wave infrared (SWIR) data is more effective for analyzing peat samples and …

abstract analysis arxiv carbon change climate climate change cs.cv cs.lg ecosystems eess.iv extraction however imaging issue machine machine learning paper product production releases study type