Hyperspectral imaging systems are starting to be used as a scientific tool for food quality
assessment. A typical hyperspectral image is composed of a set of a relatively wide range of …

Potato, with its several processed products, has a major rank on the human diet in many
countries. Among electronic-based methods that have been used for tracking and rapidly …

Abstract Machine vision is a non-destructive grading technology and cost-effective method
with high accuracy that can be used to predict length, width, and mass, as well as defects of …

The computer vision systems currently used for the automatic inspection of citrus fruits are
normally based on supervised methods that are capable of detecting defects on the surface …

The separation of clods and stones from tubers is one of the main challenges in potato
harvesting. A novel image processing technique was used in the present research for the …

Abstract Machine vision based on color, multispectral, and hyperspectral cameras to
develop potato quality grading can be used to predict length, width, and mass, as well as …

As a cost‐effective and nondestructive detection method, the machine vision technology has
been widely applied in the detection of potato defects. Recently, the depth camera which …

A field imaging spectrometer system (FISS; 380–870 nm and 344 bands) was designed for
agriculture applications. In this study, FISS was used to gather spectral information from …

A machine vision system based on ultraviolet imaging was developed to detect potato tubers
on the potato harvester. This vision system is expected to control a sorting mechanism which …

An algorithm which helps detecting in-line potato tubers without singulation when they are
mixed with clods was developed. It is particularly useful for sorting and grading purposes …