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 Citations (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%.

Original language	English
Title of host publication	Image Analysis : 20th Scandinavian Conference, SCIA 2017, Tromsø, Norway, June 12–14, 2017, Proceedings, Part II
Editors	Puneet Sharma, Filippo Maria Bianchi
Number of pages	13
Volume	Part II
Publisher	Springer
Publication date	2017
Pages	413-425
ISBN (Print)	978-3-319-59128-5
ISBN (Electronic)	978-3-319-59129-2
DOIs	https://doi.org/10.1007/978-3-319-59129-2_35
Publication status	Published - 2017
Event	20th Scandinavian Conference on Image Analysis - Tromsø, Norway Duration: 12 Jun 2017 → 14 Jun 2017 Conference number: 20

Conference

Conference	20th Scandinavian Conference on Image Analysis
Number	20
Country/Territory	Norway
City	Tromsø
Period	12/06/2017 → 14/06/2017

Series	Lecture notes in computer science
Volume	10270
ISSN	0302-9743

Keywords

Faculty of Science

Access to Document

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

Cite this

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. ed. / Puneet Sharma; Filippo Maria Bianchi. Vol. Part II Springer, 2017. p. 413-425 (Lecture notes in computer science, Vol. 10270).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Olsen, SI, Nielsen, J & Rasmussen, J 2017, Thistle detection. in P Sharma & FM Bianchi (eds), Image Analysis: 20th Scandinavian Conference, SCIA 2017, Tromsø, Norway, June 12–14, 2017, Proceedings, Part II. vol. Part II, Springer, Lecture notes in computer science, vol. 10270, pp. 413-425, 20th Scandinavian Conference on Image Analysis, Tromsø, Norway, 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 Science

KW - Computer Vision

KW - Image analysis

KW - Agriculture

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

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ER -

Thistle detection

Abstract

Conference

Keywords

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