Application Notes
Explore real-world use cases of hyperspectral imaging across different applications.
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Hyerspectral imaging Use cases
Our Application Notes show how hyperspectral imaging can be applied in practical use cases across research and industry. They provide insights into data acquisition, analysis, and workflows according application-specific challenges, from plastic sorting and food inspection to plant phenotyping, mineral analysis and environmental monitoring.
Each Application Note is designed to help you evaluate whether hyperspectral imaging is suitable for your specific task.
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BlackBird V2: Modern Plant Breeding
Plant breeding is currently facing numerous challenges, which are being exacerbated by climate change. Increased temperatures, …
BlackIndustry SWIR 1.7 Max: Detection of Undesired Components in the Almond Production
Almonds, the edible seeds of the Prunus dulcis tree, have been prized for …
BlackIndustry SWIR 1.7 / Max: Foreign Objects in Rice
Rice plays an essential social and economic role worldwide as a staple food and commodity. Almost a third of the world‘s …
BlackIndustry SWIR 1.7 Pro Max: Sorting Industrial Minerals | Case Study: Calcites
Natural minerals are finite goods on Earth. Nonetheless, the demand of minerals for the construction industry …
BlackIndustry SWIR 1.7 / Max: Recycling - Plastic Flakes
The earth has a massive problem with plastic waste. Over 400 million tons of plastic are produced …
BlackIndustry SWIR 1.7 / Max: Plastic Detection in the SWIR Range
The success of recycling largely depends on the purity of the input material. This is …
BlackBird V2: Restoring Natural Habitats
Facing nowadays challenges of climate change, the need to secure a greener future is constantly …
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Knowledge Base
Get to know more about the basics and the technical functionality of hyperspectral imaging.

White Papers
View our use cases and application notes and get to know the fields of hyperspectral imaging utilization.

Research Publications
Take a look at our research publications and get insights into the topic of hyperspectral imaging.