Determining flower colors from images using artificial intelligence-Reference-Cited by-同舟云学术

Determining flower colors from images using artificial intelligence

Published:2023-12-14 Issue:1 Volume:220 Page:
ISSN:0014-2336
Container-title:Euphytica
language:en
Short-container-title:Euphytica

Author:

Wehrens Ron,Afonso Manya,Fonteijn Hubert,Paulo João,Polder Gerrit,Rijsbergen Marcel,van Hameren Gerard,Haegens Raoul,van den Helder Mary,Zwinkels Henk

Funder

Foundation TKI Horticulture

Publisher

Springer Science and Business Media LLC

Subject

Horticulture,Plant Science,Genetics,Agronomy and Crop Science

Link

https://link.springer.com/content/pdf/10.1007/s10681-023-03258-2.pdf

Reference36 articles.

1. Afonso M, Mencarelli A, Polder G, Wehrens R, Lensink D, Faber N (2019) Detection of tomato flowers from greenhouse images using colorspace transformations. In: Oliveira PM, Novais P, Reis LP (eds) EPIA 2019. Lecture Notes in Artificial Intelligence, vol 11804. Springer, pp 146–155

2. Afonso M, Fonteijn H, Fiorentin FS, Lensink D, Mooij M, Faber N, Polder G, Wehrens R (2020) Tomato fruit detection and counting in greenhouses using deep learning. Front Plant Sci 11:1759

3. Afonso M et al (2023) Automatic flower registration from images through deep learning. Submitted for publication

4. Apriyanti DH, Spreeuwers LJ, Lucas PJF, Veldhuis RNJ (2021) Automated color detection in orchids using color labels and deep learning. PLoS ONE 16:1–27

5. Bosten JM (2022) Do you see what I see? Diversity in human color perception. Ann Rev Vis Sci 8(1):101–133

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