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Automated generation of ground truth images of greenhouse-grown plant shoots using a GAN approach.

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Title: Automated generation of ground truth images of greenhouse-grown plant shoots using a GAN approach.
Authors: Ullah, Sajid1,2 (AUTHOR), Narisetti, Narendra3 (AUTHOR), Neumann, Kerstin3 (AUTHOR), Altmann, Thomas3 (AUTHOR), Hejatko, Jan1,2 (AUTHOR), Gladilin, Evgeny3 (AUTHOR) gladilin@ipk-gatersleben.de
Source: Plant Methods. 10/4/2025, Vol. 21 Issue 1, p1-14. 14p.
Database: Academic Search Ultimate
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  Data: Automated generation of ground truth images of greenhouse-grown plant shoots using a GAN approach.
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  Data: <searchLink fieldCode="JN" term="%22Plant+Methods%22">Plant Methods</searchLink>. 10/4/2025, Vol. 21 Issue 1, p1-14. 14p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=188474849
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        Value: 10.1186/s13007-025-01441-1
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        Text: English
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      – TitleFull: Automated generation of ground truth images of greenhouse-grown plant shoots using a GAN approach.
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              Text: 10/4/2025
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              Y: 2025
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