Apple (Malus domestica) is a tree and its pomaceous fruit, of species Mauls domestic Borkhin the rose family Rosaceae, one most widely cultivated fruits. The main objective this review to postharvest handling apple fruit with following Specific objectives: pre-harvest factors that affect quality factor causes losses fruits are harvesting, storage, packaging, transportation marketing some other ...

sorting and classification of agricultural products by machine vision system reduce costs and increase quality and accuracy. this research was performed to develop an algorithm and machine vision system for separating dirty and defects eggs and classifying by volume and weight. this machine installed on transport line egg in agriculture included a digital camera, computer and mechanical device ...

there are instances in which it is desirable to determine relationships among fruit physical attributes. for example, fruits are often graded on the basis of size and projected area, but it may be more suitable and/or economical to develop a machine which grades by mass. therefore, a relationship between mass and dimensions or projected areas and/ or volume of fruits is needed. various grad...

Ripeness classification is one of the most challenging tasks in postharvest management mulberry fruit. The risks microbial contamination and human error manual sorting are significant; it may result quality degradation wasting processed products. Due to advanced developments computer vision machine learning, automated became possible. This study presents results developing testing a vision-base...

Background and Objectives: The inability of classic fluorescence-activated cell sorting to single cancer cell sorting is one of the most significant drawbacks of this method. The sorting of cancer cells in microdroplets significantly influences our ability to analyze cancer cell proteins. Material and Methods: We adapted a developed microfluidic device as a 3D in vitro model to sorted MCF-7 c...

Systematic literature review (SLR) research studies various classification models with deep learning algorithms on fruit digital images. In recent years, computer vision and processing techniques are increasingly useful in the industry, especially for quality color inspection, sizing, shape sorting applications. Research this area demonstrates feasibility of using a machine system to improve pr...

spike sorting is a class of techniques used in the analysis of electrophysiological data. studying the dynamics of neural activity via electrical recording relies on the ability to detect and sort neural spikes recorded from a number of neurons by the same electrode. this article reviews methods for detecting and classifying action potentials, a problem commonly referred to as spike sorting.