Image of tuna as bigeye, skipjack and yellowfin have very high color similarity, but in the
texture and shape can be differentiated. It requires a method to perform feature extraction of …

This paper evaluated some of the machine vision techniques to extract fruits characteristic,
which in this case is Malang oranges. Appropriate algorithms are developed and …

In this study, the capability of a procedure based on combination of computer vision (CV)
and artificial intelligence techniques examined for intelligent and nondestructive prediction …

For more fish varieties, to the subsequent processing and marketing, which is necessary to
classify the types of fish. This study is based on image processing technology to classify the …

The quality of the fish is mainly altered by different cooling methods, exporting, handling etc.
In this paper a nondestructive framework is proposed for identification of fish freshness using …

This paper attempted to evaluate chicken freshness using a low-cost colorimetric sensor
array with the help of a classification algorithm. We fabricated a novel and low-cost …

Arecanut is one of the important cash crops of Southern India. Classification of raw arecanut
is one of the major tasks in grading, which is a vital part of crop management. In this work we …

Food is one of the most important issues for human health. In order to manage the healthy
dietary life, we are going to develop an auto food-log record system, which is based on auto …

A novel non-invasive and nondestructive fruit quality inspection method for produce logistics
is proposed in this paper based on fruits' surface color. In this method, an image of fruits is …

Fruits like apples are valued based on their appearance (ie color, sizes, shapes, presence of
surface defects) and hence classified into different grades. Grading process helps in …