Thistle detection

Søren Ingvor Olsen; Jon Nielsen; Jesper Rasmussen

doi:10.1007/978-3-319-59129-2_35

Thistle detection

Søren Ingvor Olsen, Jon Nielsen, Jesper Rasmussen

3 Citationer (Scopus)

Abstract

Detecting green thistles in yellow mature cereals seems an easy task. In practice however, the two colors may be close and changing over time and place. The total thistle area may be negligible, illumination effects at low sun angles etc. may make a stable detection less easy. This paper describes a method Weeddetect for detecting thistles in drone images of fields with mature wheat. Preliminary experiments indicate a classification accuracy of about 95%.

Originalsprog	Engelsk
Titel	Image Analysis : 20th Scandinavian Conference, SCIA 2017, Tromsø, Norway, June 12–14, 2017, Proceedings, Part II
Redaktører	Puneet Sharma, Filippo Maria Bianchi
Antal sider	13
Vol/bind	Part II
Forlag	Springer
Publikationsdato	2017
Sider	413-425
ISBN (Trykt)	978-3-319-59128-5
ISBN (Elektronisk)	978-3-319-59129-2
DOI	https://doi.org/10.1007/978-3-319-59129-2_35
Status	Udgivet - 2017
Begivenhed	20th Scandinavian Conference on Image Analysis - Tromsø, Norge Varighed: 12 jun. 2017 → 14 jun. 2017 Konferencens nummer: 20

Konference

Konference	20th Scandinavian Conference on Image Analysis
Nummer	20
Land/Område	Norge
By	Tromsø
Periode	12/06/2017 → 14/06/2017

Navn	Lecture notes in computer science
Vol/bind	10270
ISSN	0302-9743

Emneord

Det Natur- og Biovidenskabelige Fakultet
Computer Science
Computer Vision
Image analysis
Agriculture

Adgang til dokumentet

10.1007/978-3-319-59129-2_35

Citationsformater

Thistle detection. / Olsen, Søren Ingvor; Nielsen, Jon; Rasmussen, Jesper.
Image Analysis: 20th Scandinavian Conference, SCIA 2017, Tromsø, Norway, June 12–14, 2017, Proceedings, Part II. red. / Puneet Sharma; Filippo Maria Bianchi. Bind Part II Springer, 2017. s. 413-425 (Lecture notes in computer science, Bind 10270).

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

Olsen, SI, Nielsen, J & Rasmussen, J 2017, Thistle detection. i P Sharma & FM Bianchi (red), Image Analysis: 20th Scandinavian Conference, SCIA 2017, Tromsø, Norway, June 12–14, 2017, Proceedings, Part II. bind Part II, Springer, Lecture notes in computer science, bind 10270, s. 413-425, 20th Scandinavian Conference on Image Analysis, Tromsø, Norge, 12/06/2017. https://doi.org/10.1007/978-3-319-59129-2_35

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abstract = "Detecting green thistles in yellow mature cereals seems an easy task. In practice however, the two colors may be close and changing over time and place. The total thistle area may be negligible, illumination effects at low sun angles etc. may make a stable detection less easy. This paper describes a method Weeddetect for detecting thistles in drone images of fields with mature wheat. Preliminary experiments indicate a classification accuracy of about 95%.",

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KW - Computer Vision

KW - Image analysis

KW - Agriculture

U2 - 10.1007/978-3-319-59129-2_35

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Thistle detection

Abstract

Konference

Emneord

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