Latest nir-spectroscopy
Raspberry Shelf Life: What Causes Quality Loss After Harvest?
Raspberry postharvest quality problems include loss of firmness, color, and flavor, weight loss, microbial decay, physiological disorders, leakage, and rapid senescence. Raspberries’ characteristics, such as their high fruit respiration and transpiration rates, thin cuticle, and ethylene sensitivity, cause postharvest problems. Cold storage, high relative humidity, and an artificial controlled atmosphere of ethylene, oxygen, and carbon… Continue reading…
Additional reading
How Often Should I Recalibrate My F-750 or F-751?
If you rely on an F-750 or F-751 Quality Meter for harvest timing, intake checks, ripeness management, or quality control, F-750 recalibration should be treated as part of your measurement routine, not as an afterthought. These Felix Instruments meters are designed for fast, non-destructive produce quality assessment, but like any NIR-based instrument, the quality of… Continue reading…
Can I Build My Own NIR Model, or Should I Use Felix’s built in models?
An NIR model is only as useful as the data behind it. That is the main point to keep in mind when deciding whether to build your own calibration or use Felix Instruments’ built-in models. In fresh produce, a good NIR model has to deal with cultivar variation, growing region, harvest timing, dry matter range,… Continue reading…
7 Best Practices for Collecting NIR Data in the Field
Good field NIR data collection starts long before the first scan. In orchards, vineyards, and packing operations, the difference between useful data and noisy data usually comes down to sampling discipline, repeatable technique, and the right instrument setup. That is why field teams using handheld NIR tools need a process that matches the chemistry of… Continue reading…
5 Benefits of Pairing NIR Data with Firmness Tests
When produce teams talk about better maturity decisions, they usually end up discussing more than one metric. That is why NIR data matters most when it is paired with firmness tests. NIR data gives you fast, non-destructive insight into internal quality traits such as dry matter, Brix, titratable acidity, and internal color, while firmness testing… Continue reading…
Major Causes of Postharvest Decline in Fresh Produce
The main causes for postharvest decline in fresh produce are mechanical damage, respiration, transpiration, ethylene, and senescence. The importance of each cause varies across classes of fresh produce, including root vegetables, leafy vegetables, flower vegetables, immature fruit vegetables, and mature fruits. Adequate technology adoption can significantly reduce postharvest decline. Around 40-50% of fruits and vegetables… Continue reading…
Myth: NIR Devices Work the Same on All Cultivars
Near-infrared fruit analysis is widely used across the produce industry, but a persistent myth still circulates: that one NIR model works the same on every cultivar. The truth is that cultivar differences directly impact NIR calibration accuracy, and ignoring that reality leads to inconsistent data and poor decisions. If you rely on NIR devices for… Continue reading…
