Breaking Out of the Black Box in Automated Flower Recognition

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Abstract

Currently, fully automated methods for plant recognition are being developed. These systems work based on images. But, they only give the name of the plants as a result and do not give an explanation (black box approach). On the contrary, giving the explanation (by describing the plant's characteristics) formally is used by taxonomists before they can determine the plant's name. Providing the explanation is very important since it fit in the standard practice and as a basis of plant identification for several decades. This paper comes with the new perspective in automated image-based plant recognition. A system that acts not as a black box system has proposed. It can mimic the taxonomist in explaining the decision and giving useful alternatives. The research firstly focuses on the flower. In the first part of this paper, the background of the new perspective is presented. Then, some problems that we want to answer also will be shown. Finally, some solutions to achieve the goal are discussed. As the first attempts, we also conduct a little experiment using the decision tree to deal with the goal.
Original languageEnglish
Title of host publicationProceedings of the 2018 Symposium on Information Theory and Signal Processing in the Benelux
Subtitle of host publicationMay 31-1 June, 2018, University of Twente, Enschede, The Netherlands
EditorsLuuk Spreeuwers, Jasper Goseling
Place of PublicationEnschede
PublisherWerkgemeenschap voor Informatie- en Communicatietheorie (WIC)
Pages28-34
Number of pages7
ISBN (Print)978-90-365-4570-9
Publication statusPublished - 2018
Event39th Symposium on Information Theory and Signal Processing in the Benelux 2018 - University of Twente, Enschede, Netherlands
Duration: 31 May 20181 Jun 2018
Conference number: 39
https://www.utwente.nl/en/eemcs/sitb2018/

Conference

Conference39th Symposium on Information Theory and Signal Processing in the Benelux 2018
Abbreviated titleSITB
CountryNetherlands
CityEnschede
Period31/05/181/06/18
Internet address

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Decision trees
Experiments

Cite this

Apriyanti, D. H., Spreeuwers, L. J., & Veldhuis, R. N. J. (2018). Breaking Out of the Black Box in Automated Flower Recognition. In L. Spreeuwers, & J. Goseling (Eds.), Proceedings of the 2018 Symposium on Information Theory and Signal Processing in the Benelux: May 31-1 June, 2018, University of Twente, Enschede, The Netherlands (pp. 28-34). Enschede: Werkgemeenschap voor Informatie- en Communicatietheorie (WIC).
Apriyanti, D.H. ; Spreeuwers, L.J. ; Veldhuis, R.N.J. / Breaking Out of the Black Box in Automated Flower Recognition. Proceedings of the 2018 Symposium on Information Theory and Signal Processing in the Benelux: May 31-1 June, 2018, University of Twente, Enschede, The Netherlands. editor / Luuk Spreeuwers ; Jasper Goseling. Enschede : Werkgemeenschap voor Informatie- en Communicatietheorie (WIC), 2018. pp. 28-34
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title = "Breaking Out of the Black Box in Automated Flower Recognition",
abstract = "Currently, fully automated methods for plant recognition are being developed. These systems work based on images. But, they only give the name of the plants as a result and do not give an explanation (black box approach). On the contrary, giving the explanation (by describing the plant's characteristics) formally is used by taxonomists before they can determine the plant's name. Providing the explanation is very important since it fit in the standard practice and as a basis of plant identification for several decades. This paper comes with the new perspective in automated image-based plant recognition. A system that acts not as a black box system has proposed. It can mimic the taxonomist in explaining the decision and giving useful alternatives. The research firstly focuses on the flower. In the first part of this paper, the background of the new perspective is presented. Then, some problems that we want to answer also will be shown. Finally, some solutions to achieve the goal are discussed. As the first attempts, we also conduct a little experiment using the decision tree to deal with the goal.",
author = "D.H. Apriyanti and L.J. Spreeuwers and R.N.J. Veldhuis",
year = "2018",
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editor = "Luuk Spreeuwers and Jasper Goseling",
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Apriyanti, DH, Spreeuwers, LJ & Veldhuis, RNJ 2018, Breaking Out of the Black Box in Automated Flower Recognition. in L Spreeuwers & J Goseling (eds), Proceedings of the 2018 Symposium on Information Theory and Signal Processing in the Benelux: May 31-1 June, 2018, University of Twente, Enschede, The Netherlands. Werkgemeenschap voor Informatie- en Communicatietheorie (WIC), Enschede, pp. 28-34, 39th Symposium on Information Theory and Signal Processing in the Benelux 2018, Enschede, Netherlands, 31/05/18.

Breaking Out of the Black Box in Automated Flower Recognition. / Apriyanti, D.H.; Spreeuwers, L.J.; Veldhuis, R.N.J.

Proceedings of the 2018 Symposium on Information Theory and Signal Processing in the Benelux: May 31-1 June, 2018, University of Twente, Enschede, The Netherlands. ed. / Luuk Spreeuwers; Jasper Goseling. Enschede : Werkgemeenschap voor Informatie- en Communicatietheorie (WIC), 2018. p. 28-34.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

TY - GEN

T1 - Breaking Out of the Black Box in Automated Flower Recognition

AU - Apriyanti, D.H.

AU - Spreeuwers, L.J.

AU - Veldhuis, R.N.J.

PY - 2018

Y1 - 2018

N2 - Currently, fully automated methods for plant recognition are being developed. These systems work based on images. But, they only give the name of the plants as a result and do not give an explanation (black box approach). On the contrary, giving the explanation (by describing the plant's characteristics) formally is used by taxonomists before they can determine the plant's name. Providing the explanation is very important since it fit in the standard practice and as a basis of plant identification for several decades. This paper comes with the new perspective in automated image-based plant recognition. A system that acts not as a black box system has proposed. It can mimic the taxonomist in explaining the decision and giving useful alternatives. The research firstly focuses on the flower. In the first part of this paper, the background of the new perspective is presented. Then, some problems that we want to answer also will be shown. Finally, some solutions to achieve the goal are discussed. As the first attempts, we also conduct a little experiment using the decision tree to deal with the goal.

AB - Currently, fully automated methods for plant recognition are being developed. These systems work based on images. But, they only give the name of the plants as a result and do not give an explanation (black box approach). On the contrary, giving the explanation (by describing the plant's characteristics) formally is used by taxonomists before they can determine the plant's name. Providing the explanation is very important since it fit in the standard practice and as a basis of plant identification for several decades. This paper comes with the new perspective in automated image-based plant recognition. A system that acts not as a black box system has proposed. It can mimic the taxonomist in explaining the decision and giving useful alternatives. The research firstly focuses on the flower. In the first part of this paper, the background of the new perspective is presented. Then, some problems that we want to answer also will be shown. Finally, some solutions to achieve the goal are discussed. As the first attempts, we also conduct a little experiment using the decision tree to deal with the goal.

M3 - Conference contribution

SN - 978-90-365-4570-9

SP - 28

EP - 34

BT - Proceedings of the 2018 Symposium on Information Theory and Signal Processing in the Benelux

A2 - Spreeuwers, Luuk

A2 - Goseling, Jasper

PB - Werkgemeenschap voor Informatie- en Communicatietheorie (WIC)

CY - Enschede

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Apriyanti DH, Spreeuwers LJ, Veldhuis RNJ. Breaking Out of the Black Box in Automated Flower Recognition. In Spreeuwers L, Goseling J, editors, Proceedings of the 2018 Symposium on Information Theory and Signal Processing in the Benelux: May 31-1 June, 2018, University of Twente, Enschede, The Netherlands. Enschede: Werkgemeenschap voor Informatie- en Communicatietheorie (WIC). 2018. p. 28-34