文章基本信息

标题：Bees Echelon
本地全文：下载
作者：Himanshu Verma
期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2021
卷号：3
期号：6
页码：1444-1449
DOI：10.35629/5252-030612191225
语种：English
出版社：IJAEM JOURNAL
摘要：Bees are present all over the world in different size , color, height , features , breeding way and many more things . So a large number of trials were made to classify them , stated bumble bee or honey bee , many researches are already present and were done on different characteristic like size , color etc. But absolutely the analysis there are either that focus on qualitative or quantitative , but to fight it out , thus researchers came up with discovery which could be both qualitative and chemical analysis made to classify them. And making use of machine learning algorithm to classify them gives a booster . Now the classification would be made easy as they are accurate and are quicker and are easy to implement. Thousands of photographs needs to be collected and stored for data set. And by making use of various machine learning algorithms and getting details about the bees which could use by researchers in additionally categorizing of bees . Handling of images were done in order to be applied to the algorithms and have feature extraction done. We have taken extra efforts to reduce the space efficiency there are lots of photographs(data set) which contributes to space and the image also contain unused variety of things like unnecessary background details which makes difficult for the algorithm to point out the bees in the photograph which were collected .
关键词：K-Nearest Neighbor;Logistic Regression;Decision Tree;Histogram of oriented gradients