We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Determining flower colors from images using artificial intelligence.
- Authors
Wehrens, Ron; Afonso, Manya; Fonteijn, Hubert; Paulo, João; Polder, Gerrit; Rijsbergen, Marcel; van Hameren, Gerard; Haegens, Raoul; van den Helder, Mary; Zwinkels, Henk
- Abstract
Flower color is one of the most important traits in horticulture, and is one of the characteristics recorded to describe new varieties. In this paper, we examine four large real-world databases of roses and gerberas containing both images and color descriptions, and use state-of-the-art methods to automatically extract color descriptions from the images. Both Deep Learning and methods based on color histograms lead to success rates of approximately 85%. Deep learning has the advantage that no preprocessing is necessary—the more traditional methods lead to additional insight in the final color classification.
- Subjects
ARTIFICIAL intelligence; DEEP learning; COLORS; COLOR; FLOWERS; CULTIVARS
- Publication
Euphytica, 2024, Vol 220, Issue 1, p1
- ISSN
0014-2336
- Publication type
Article
- DOI
10.1007/s10681-023-03258-2