Food & Pharmaceutical

An overview of how inline refractometers can help breweries monitor fermentation conditions continuously and use timely data to support process decisions.

Raw sugar syrup concentration can vary during processing because the medium may contain bubbles, impurities, turbidity, and color variation. This article explains the operational impact of those changes and the monitoring considerations for sugar mill crystallization processes.

A practical guide to evaluating inline refractometers for milk concentration monitoring in dairy processing, with key selection considerations for daily operations.

A practical guide to selecting an inline refractometer for monitoring soluble solids and supporting consistent soy milk production.

A research application of the FS-IQ-VISNIR hyperspectral camera shows how visible-near-infrared imaging and machine learning can support non-destructive pork freshness assessment.

A research application shows how portable hyperspectral imaging can supply spectral data for investigating early, non-destructive detection of rice bacterial leaf blight.

A reported wheat-field study illustrates how hyperspectral imaging can capture insect spectral differences and support machine-learning-based pest classification.

A practical framework for comparing hyperspectral camera capabilities against plant phenotyping objectives, field conditions, and data-analysis requirements.

Hyperspectral technology brings spectral and spatial information together, creating new possibilities for non-destructive food safety and quality assessment.

An overview of a hyperspectral imaging study that evaluated rapid, non-destructive estimation of amylose content in fresh lotus seeds.