Proceedings of the Annual Conference of the Institute of Image Electronics Engineers of Japan
Online ISSN : 2436-4398
Print ISSN : 2436-4371
Proceedings of the 47th Annual Conference of the Institute of Image Electronics Engineers of Japan 2019
Session ID : S2-4
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A Study on Image Classification of Honeycomb Cells Using CNN
*Hiroki MATSUMOTOMisaki KAWASHIMAKazuma SHINODAMadoka HASEGAWA
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Abstract

For the health management of honeybees reared for beekeeping, it is important to monitor the state of hexagonal cells , called brood cells, formed on nest frames In this study, we conducted a fundamental study on a method to automatically classify the condition of cells from image s of nest frames We defined state s of cells in six classes and applied a pixel based classification using CNN to several nest frames

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© 2019 The Institute of Image Electronics Engineers of Japan
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