Learn about Laboratory Equipment

Martin-Lishman - Weight in Water Digital Balance
Weight in Water Digital Balance
The best and most convenient way to measure dry matter content of your potatoes.
Martin Lishman - Potato Dry Matter Field Kit
Potato Dry matter Field Kit
This portable unit is specifically designed for use in the field and provides information on dry matter distribution
USDA french fry color card
USDA French Fry Color Card
The standard colour card that is used world wide for the evaluation of french fries is the USDA french fry colour card
Gejo Grading Smart Grader Reader
Smart Grader Reader
Smart Grader Reader: extremely fast and accurate sampling!  The Smart Grader READER is a compact, optical reader that analyzes potato or onion samples.
RMA-Techniek RoboFry
RoboFry
The RoboFry by RMA-Techniek analyzes strip by strip the frying colour of potato samples, fully automated. The RoboFry is part of the extensive range of RMA equipment for inspection and sampling of potatoes, either manually or fully automated.
Astaara AlphaLab
AlphaLab
The AlphaLab is a bench-top leak tester dedicated to flexible packaging testing for the food, pet care and cosmetic Industries. It has been specially designed for laboratories in Factories that have to follow stringent Quality Inspection procedures and processes like ISO 22000 & HACCP.
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RMA Techniek - Hyperspectral Analyser
Hyperspectral Analyser
RMA-Techniek's hyperspectral analyzer can be used to determine the dry matter content and its dispersion in a potato. To do this, the potato must pass through the machine cut into slices.
Photovolt - 577 (5G) Stainless Steel Reflectance Colorimeter
577 (5G) Stainless Steel Reflectance Colorimeter
Photovolt's American-made model 577 (5G) stainless steel unit is the newest addition to our line of colorimeters. The 5G stainless steel unit is designed to simplify the determination of appearance characteristics.
Polysense - Virtual Quality Assistant
Polysense - Virtual Quality Assistant
The Virtual Quality Assistant aims to automate in-line quality measurements. It uses AI models to measure quality characteristics such as dimensions, color, number of defects, type of defects, and dry matter content, all in-line.

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