Category: On-Demand Solutions
18. Feb 2026
Understanding Regression: Theory to Real-World Use
When we talk about regression problems, we’re asking a model: “How much of this property is present?” Unlike classification, which assigns items to categories, regression predicts continuous values, such as fat in olives, moisture in meat, or the concentration of an active ingredient in a medicine. At NIRLAB, predictions are
01. Dec 2025
Instant Ingredient Verification with Portable NIR
Raw material identification is vital for quality and safety in agribusiness, especially in food and beverage. In a world where ingredients travel across continents, and supply chains grow more complex, verifying the true identity and composition of every shipment of flour, spices, meat, oilseeds, or dairy powders isn’t just a
02. Oct 2025
Understanding Classification Problems: Theory to Real-World applications with NIRLAB
When we talk about classification problems, we’re essentially asking a model to decide: “Which group does this item belong to?” Unlike prediction problems that estimate continuous values, classification focuses on discrete categories, such as whether a product is genuine or counterfeit, or whether a plant is ready to harvest or
29. Aug 2025
Portable NIR Solution for Instant Meat Quality Checks
How do you guarantee the quality of every cut of meat when production lines need to run efficiently and customer demands keep climbing? Before, the answer was to send samples to a lab, wait for the results and make sure nothing went wrong in the meantime. But in an industry
15. Jul 2025
Measuring Olives and Olive Oil on the spot
Over the past few months, we have spent a lot of time talking with olive oil producers to really understand what they are facing. Many shared the same concerns: how to improve their production processes, how to better assess the quality of their olives and how to make sure farmers
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