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Bees Assorter
Author(s) -
Himanshu Verma
Publication year - 2020
Publication title -
international journal of modern trends in science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-3778
DOI - 10.46501/ijmtst061212
Subject(s) - computer science , artificial intelligence , set (abstract data type) , machine learning , lift (data mining) , premise , philosophy , linguistics , programming language
Many attempts were made to classify the bees that is bumble bee or honey bee , there have been such alarge amount of researches which were made to seek out the difference between them on the premise ofvarious features like wing size , size of bee , color, life cycle and many more. But altogether the analysis therehave been either that specialize in qualitative or quantitative , but to beat this issue , thus researchers cameup with an answer which might be both qualitative and quantitative analysis made to classify them. Andmaking use of machine learning algorithm to classify them gives a lift . Now the classification would take lesstime as these algorithms are pretty fast and accurate . By using machine learning work is made easy . Lots ofphotographs had to be collected and stored for data set. And by using these machine learning algorithms wewould be getting information about the bees which might be employed by researchers in further classificationof bees. Manipulation of images had to be done so as on prepare them in such a way that they will be appliedto the algorithms and have feature extraction done. As there have been a lot of photographs(data set) whichtake a lot of space and also the area in which bees were present in these photographs were too small so toaccommodate it dimension reduction was done , it might not consider other images like trees , leaves ,flowers which were there present in the photograph which we elect as a data set.

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