Non-destructive fruit firmness sensors: a review

A Review of Non-destructive Detection for Fruit Quality

An overview of non-destructive detection in quality of post-harvest fruit was presented in this paper, and the research and application were discussed. This paper elaborated the fruit quality detection methods which were based on one of the following properties: optical properties, sonic vibration, machine vision technique, nuclear magnetic resonance (NMR), electronic noses, electrical properti...

An examination of the principle of non-destructive flesh firmness measurement of peach fruit by using VIS-NIR spectroscopy

Evaluating the maturity of peach fruit is desirable during both the preharvest and postharvest periods, and flesh firmness (FF) is a representative maturity index. Although a non-destructive FF measurement technique using visible (VIS) and near-infrared (NIR) spectroscopy has been developed, the principle has been unclear. This study was conducted to examine the structure of the FF prediction m...

Giant Magnetoresistance Sensors: A Review on Structures and Non-Destructive Eddy Current Testing Applications

Non-destructive eddy current testing (ECT) is widely used to examine structural defects in ferromagnetic pipe in the oil and gas industry. Implementation of giant magnetoresistance (GMR) sensors as magnetic field sensors to detect the changes of magnetic field continuity have increased the sensitivity of eddy current techniques in detecting the material defect profile. However, not many researc...

Comparison of Pome Fruit Firmness Testing Instruments

Hyperspectral Scattering for assessing Peach Fruit Firmness

Light scattering is related to the structural characteristics of fruit and hence is potentially useful for estimating fruit firmness. This research investigated hyperspectral scattering as a means for measuring peach fruit firmness. A hyperspectral imaging system was used to simultaneously acquire 153 spectral scattering profiles, generated by a broadband light beam, from ‘Red Haven’ and ‘Coral...