CLASSIFICATION OF SELECTED APPLE FRUIT VARIETIES USING NAIVE BAYES
Journal Title: Indian Journal of Computer Science and Engineering - Year 2016, Vol 7, Issue 1
Abstract
Manual sorting of apple fruit varieties results to high cost, subjectivity, tediousness and inconsistency associated with human beings. A means for distinguishing apple varieties is needed and therefore, some reliable technique is needed to discriminate varieties rapidly and non-destructively. The main objective of this research was to investigate the applicability and performance of Naive Bayes algorithm in the classification of apple fruit varieties. The methodology involved image acquisition, pre-processing and segmentation, analysis and classification of apple varieties. Apple classification system prototype was built using MATLAB R2015a development platform environment. The results showed that the averaged values of the estimated accuracy, sensitivity, precision and specificity were 91%, 77%, 100% and 80% respectively. Through previous research works, the literature review identified MLP-Neural (Unay et al., 2006), fuzzy logic (Kavdir et al., 2003), principal components analysis (Bin et al., 2007) and neural networks (Ohali et al., 2011) as other technique which have been used previously to classify apple varieties. Comparison of their classification accuracy results with that of Naive Bayes technique showed that the accuracy of Naive Bayes was higher than the accuracy of principal components analysis, fuzzy logic and MLPNeural with 91%, 90%, 89%, and 83% respectively. This study indicated that Naive Bayes has good potential for identification of apple varieties nondestructively and accurately.
Authors and Affiliations
Misigo Ronald , Miriti Evans
Performance Evaluation of Dynamic and Static Sensor Node in Wireless Sensor Network
A wireless sensor network (WSN) consists of spatially distributed autonomous sensors to monitor physical or environmental conditions, such as temperature, sound, pressure, etc. and to cooperatively pass their data throug...
PROPOSED PROFILE TRANSLATION IN CONTEXT AWARE PROACTIVE SYSTEM
The advancement of mobile devices and Internet has given us great platform for our day to day tasks. Various Activities like ticket booking; shopping, paying bills have been done on the fly.The Smartphone adds portabilit...
Improving the QOS in Video Streaming Multicast
In a streaming video multicast environment a large number of users often request various similar processing on the same stream. Therefore service sharing is feasible, with a large potential of savings in processing cost....
An Approach with Maintainability, Structured Design and Automation with the Intension of Software Engineering
Scientific software must be personalized for dissimilar execution environments, problem sets, and existing resources to make sure its competence and consistency. Even though adaptation patterns be able to be found in a e...
LEAF COLOR, AREA AND EDGE FEATURES BASED APPROACH FOR IDENTIFICATION OF INDIAN MEDICINAL PLANTS
This paper presents a method for identification of medicinal plants based on some important features extracted from its leaf images. Medicinal plants are the essential aspects of ayurvedic system of medicine. The leaf ex...