ScanCorder GP‑VNIR
General Purpose VNIR.
From 5,900 EUR
ScanCorder VI-VNIR
145+ Vegetation Indices.
From 8,900 EUR
ScanCorder Leaf Clip
Optimised for Plant Leaves.
From 6,900 EUR
ScanCorder Full Range
Complete Portfolio
Breaking News: Hyperspectral sensing predicts cannabinoid yield before harvest
Recent research published in Industrial Crops and Products shows that hyperspectral measurements of Cannabis sativa fan leaves can accurately predict cannabinoid yield weeks before harvest.
Rooted in Compolytics’ science-first approach, the study demonstrates how our soft sensor concept － combining a proven hyperspectral device with machine-learning calibration models － translates raw spectral data into quantitative cannabinoid profiles.
The results highlight how data-driven optics can make plant analytics faster, non-destructive, and accessible far beyond traditional laboratory settings.
Growers & Authorities
Predict cannabinoid content － before harvest.
Compolytics provides the spectral-optical calibration models used in the study, available as part of an integrated soft sensor system.
The solution can be supplied as a complete package or combined with existing hyperspectral instruments such as the ASD FieldSpec.
Ideal for growers, breeders, and supervisory authorities seeking reliable, early insight into cannabinoid composition.
Media & Analysts
Science that’s making headlines.
The research has attracted international attention, including coverage by Forbes.
For press enquiries, background information, or expert commentary, please get in touch.
We welcome media and analyst enquiries from Australia, Germany, and abroad.
Investors & Partners
Expanding intelligent sensing together.
Compolytics is privately held yet open to dialogue with investors and partners interested in extending this technology － to additional cannabis compounds or related plant analytics.
We welcome conversations with investors and partners who share our interest in scaling this technology into new applications.
For full details and background, see our blog at scancor.de/r.