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 …

This study was conducted to develop a fast and accurate computer-based machine vision
system for detecting irregular potatoes in real-time. Supported algorithms were specifically …

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 …

Most researches involved so far in kiwifruit harvesting robot suggest the scenario of
harvesting in daytime for taking advantage of sunlight. A robot operating at nighttime can …

This study aims at discussing various methods of machine vision approaches incorporated
for finding the food quality. Automatic grading and sorting of food materials like fruits …

Tomatoes are in high demand because the world population consumes them daily. This
research aims to improve tomato production and fruit quality through fruit measurement …

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 …

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 …

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 …

Potato image segmentation is an important part of image-based potato defect detection. This
paper presents a robust potato color image segmentation through a combination of a fuzzy …