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Research Article: Predicting Cannabinoid Yield from Spectral Leaf Scans
We are pleased to see our latest co-authored paper published in Industrial Crops and Products: “Hyperspectral measurements of Cannabis sativa fan leaves during early floral development predict final cannabinoid yield.” The study shows that spectral-optical measurements of fan leaves, taken early in flowering, can already predict the final cannabinoid yield with high accuracy. Using hand-held hyperspectral sensing and machine learning models, the…
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Research Article: Extending the Concept of Soft Sensors to Green Sensing
There are many innovative technical developments that are denoted “green”, ranging for example from very generic green power to more specific green AI. In the context of soft sensors, this paper describes its extension to green sensing, taking into account and implementing various aspects of efficiency and sustainability in addition to more traditional performance criteria,…
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Research Article: Spectral Assessment of Cultivar and Sex of Cannabis Plants
Two of our senior scientists were involved in a systematic study on the non-invasive assessment of cultivar and sex of Cannabis sativa L. by means of hyperspectral sensing, which led to a high-ranking publication in Plant-Environment Interactions. Thank you to all co-authors for the excellent co-operation. Download the full paper.
