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Oil and Protein Crops

Oilseed Rape Quality Inspection

With rapeseed being the world second largest source for vegetable oil (FAO, 2018), quality inspection of this seed is becoming increasingly more crucial to meet the required safety and quality standards with a precise and efficient matter.

The widely spread manual inspection process can often be timely and inaccurate, costing farmers, producers and traders valuable time and resources.

With AI-driven multispectral imaging, however, quality control can improve in efficiency, precision and objectiveness.

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OilseedRape

Videometer webinar for Oilseed rape Quality Inspection

Earlier this year, on March 24th 2021, Videometer’s CTO, Dr. Karsten Hartelius and Sales Director, Pia Van Der Zee ran a webinar, introducing an international audience to the VideometerLab Autofeeder for Rapeseed Oil Quality Inspection.

During the webinar, the features and characteristics of the VideometerLab Autofeeder were illustrated in great detail and, specifically, its application to Oilseed Rape Quality Inspection was the focus of the conversation.

The webinar ended with a Q&A session, where attendees were able to forward their inquiries about the product and technology directly to our two experts.

Do you have models for other grain types?

Yes, we have. We have classification models that measure purity and seed health for various oil and protein crops, including corn, barley, sunflower and more within vegetable seeds.

Do I get a weight-based result?

You do get an optical weight-based result. Once weight density for the different classes is identified, it is possible to output weight-based classifications within the results.

Can the model be used outside of Europe?

It is possible for all customers, not matter their location, to get a model tuned in for their specific geographical region. The model will present the same functionality as the European model, but with the individual requirements of the client’s location.

Is there an option to physically separate different classes or materials?

Videometer is working on a solution that will make this possible. The solution is already available for commissions.
You can find out more or make your order by contacting our experts at mail@videometer.com.

Sunflower Seeds 

Sunflower seed admixture content (non sunflower content), like other oil and protein crops, can be determined fast and precisely with a VideometerLab Autofeeder. A model is being developed to:
– Determine sunflower seed content compared to non sunflower (admixture) – Break down of admixture content
– Inert material such as stones, sticks
– Foreign seeds such as cereals, weeds – Analysis of 200 g sample within 5 min with about 1% error – Reporting and documentation both visually and in Excel – Seed coat color, size, texture, and shape distribution – Hilum color, size and shape– Genetic purity: transgenic vs non-transgenic, a Chinese study reports 98.2% accuracy on a test set – Reporting and documentation both visually and in Excel

Soybean Quality Assessment 

The soybean quality assessment is based on the following principles:

Color, size, shape, texture

Hilum properties

Surface chemistry

Palm Fruit

Quality assessment of palm fruits: good, seedless, and trash.