The grading of agricultural products after harvest consists of external quality based on color, size, weight, shape, and internal quality based on sugar content, acidity, internal defects. Camera technology, which is mainly used for external quality, is one of the key technologies for automatic the processing process as well as objective grading of agricultural products. LifNTech has developed a multi-channel camera sorting technology to measure the color and shape of agricultural products and a high-speed algorithm more accurately for high-capacity processing. We have already developed total sorting technology for various agricultural products such as pepper, garlic as well as apple, pear.

Multi-Channel Camera Technology

The color, size, and shape of agricultural products differ not only according to the individuals but also because they are different even in the case of the same individuals. Therefore, to sort more accurately, multi-channel camera technology is required to analyze images of different parts. This multi-channel camera technology enables accurate size, volume, and shape sorting.

Color & Shape Measurement

The sorting using cameras will determine objective grades through color and shape quantification. However, color is totally different depending on the light source or measurement sensor, so you need to perform a color calibration process for correct sorting.

Internal & External Defect Detection

The defects must be sorted out in advance, as they detract from the merchandise and storability of agricultural products. However, it is not easy to discriminate with the naked eye, and there are various limitations in the sorting. LifeNTech provides the optimal solution to detect defects in agricultural products by using various physical properties such as density, vibration, sound wave characteristics as well as defect color and NIR spectral characteristics.

Detection Example of internal defects in apples using NIR images