ChemWiz-ADK™ Coarse Grain, Beans, & Oilseed Analyzers
Handheld, Lab, and Process Instruments for %Fat, Moisture, Fiber, & Protein Request a QuoteDownload Instrument PDFAnalysis of Coarse Grain, Beans, & Oilseeds such as Flax, Sunflower, Soybean, and Canola
The ChemWiz-ADK–CGBO (Coarse Grains, Beans, and Oilseed) is rugged and portable with 8 hour battery life and can be transported between milling, process, laboratory, and bulk trading locations. It’s non-destructive and high speed sampling (several seconds per scan) ensures fast and low cost analysis whenever you need it. Become your own lab today!
ChemWiz-ADK Analyzer
Handheld or mountable/modular setup for within production environments. Great for quality control at receiving or trading locations. Great for technicians and routine daily inspections.
ChemWiz-ADK-Case
Portable for field or lab. Open and measure functionality with all hardware contained inside rugged pelican case.
ChemWiz-ADK PRO App “Admin mode” running the included starter calibration model for soybeans displaying %Moisture, Protein, Fat, & Fiber
ChemWiz-ADK PRO App “Technician mode” running the included starter calibration model for soybeans displaying failed measurement for %Moisture, Protein, Fat, & Fiber. The red X typically occurs if the sample is an incorrect type or outlies the current sample set far enough that there is cause for concern and admin review.
ChemWiz-ADK PRO App “Admin mode” model statistics compare and view. In this panel the admin can add their own samples in real-time to any calibration model. Admins can recompute and improve the chemometrics models with new samples added and compare the model statistics. If the new samples improve the model fit, then the model can be saved or saved as new, or the sample can be discarded and more samples added, repeat. This easy-to-use interface can allows users to customize every calibration model for their own local samples.
Starter Sunflower Seed Packages
Included with your system is our starter Sunflower Seed Calibration. This calibration model predicts fat, moisture, protein and fiber in sunflower seed samples. The calibration was generated using over 30 different sunflower seed samples varying in composition and has an estimated error of prediction less than +/-1% when measuring similar samples. It is the perfect calibration to get you up and running measuring composition of sunflower seeds.
Calibration Model Refinement and Customization
Our portable Coarse Grain, Bean, and Oilseed Analyzers are based on NIR (near-infrared) reflectance technology and the system’s accuracy is based on our starter calibration packages and comparability with your own samples.
Since we don’t have your samples, there will be room for improvement and each system can be tuned and optimized for your specific samples. Our new ChemWiz-ADK PRO App software allows users to refine and customize our starter calibrations to their own local samples. If customers would like additional support, we recommend that along with each ChemWiz-ADK–CGBO, a Calibration Model Refinement and Customization Service Package be added to guarantee the best possible performance of your system.
Calibration Model Development for New Similar Sample Type
There are many types of coarse grains, beans, and oilseeds as well as processing intermediates that can easily be measured with the ChemWiz-ADK–CGBO. Our new ChemWiz-ADK PRO App software allows users to easily make new models for their own new sample types. If you would like additional support, we recommend purchasing a Calibration Model Development Service Package along with your ChemWiz-ADK–CGBO. Calibration model development usually takes just a few weeks and you will be assigned a StellarNet calibration development engineer who will work with you to finalize your custom analyzer solution. We suggest users try using our ChemWiz-ADK PRO software tools to create their own custom calibrations and if they are having difficulties contact our team for support.
Coarse Grain Expert
Stephanie Boxel
813.855.8687 x 10
Stephanie@StellarNet.us
Technical Information Request
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