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 |
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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 | |
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 |
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Nummer | 20 |
Land/Område | Norge |
By | Tromsø |
Periode | 12/06/2017 → 14/06/2017 |
Navn | Lecture notes in computer science |
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Vol/bind | 10270 |
ISSN | 0302-9743 |
Emneord
- Det Natur- og Biovidenskabelige Fakultet
- Computer Science
- Computer Vision
- Image analysis
- Agriculture