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Detail publikace
ŠKRABÁNEK, P. DOLEŽEL, P. MATOUŠEK, R.
Originální název
RGB images-driven recognition of grapevine varieties using a densely connected convolutional network
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
We present a pocket-size densely connected convolutional network (DenseNet) directed to classification of size-normalized colour images according to varieties of grapes captured in those images. We compare the DenseNet with three established small-size networks in terms of performance, inference time, and model size. We propose a data augmentation that we use in training the networks. We train and evaluate the networks on in-field images. The trained networks distinguish between seven grapevine varieties and background, where four and three varieties, respectively are of red and green grapes. Compared to the established networks, the DenseNet is characterized by near state-of-the-art performance, short inference time, and minimal model size. All these aspects qualify the network for real-time, mobile, and edge computing applications. The DenseNet opens possibilities for constructing affordable selective harvesters in accordance with agriculture 4.0.
Klíčová slova
Recognition of grapevine varieties; Densely connected convolutional network; Data augmentation; In-field images; Edge-computing; Agricultural mechanization
Autoři
ŠKRABÁNEK, P.; DOLEŽEL, P.; MATOUŠEK, R.
Vydáno
16. 2. 2022
ISSN
1367-0751
Periodikum
LOGIC JOURNAL OF THE IGPL
Číslo
jzac029
Stát
Spojené království Velké Británie a Severního Irska
Strany od
1
Strany do
16
Strany počet
URL
https://academic.oup.com/jigpal/advance-article-abstract/doi/10.1093/jigpal/jzac029/6529721
BibTex
@article{BUT176693, author="Pavel {Škrabánek} and Petr {Doležel} and Radomil {Matoušek}", title="RGB images-driven recognition of grapevine varieties using a densely connected convolutional network", journal="LOGIC JOURNAL OF THE IGPL", year="2022", number="jzac029", pages="1--16", doi="10.1093/jigpal/jzac029", issn="1367-0751", url="https://academic.oup.com/jigpal/advance-article-abstract/doi/10.1093/jigpal/jzac029/6529721" }