Behind the Leaves: Estimation of Occluded Grapevine Berries With Conditional Generative Adversarial Networks

The need for accurate yield estimates for viticulture is becoming more important due to increasing competition in the wine market worldwide. One of the most promising methods to estimate the harvest is berry counting, as it can be approached non-destructively, and its process can be automated. In th...

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Detalles Bibliográficos
Autores principales: Kierdorf, Jana, Weber, Immanuel, Kicherer, Anna, Zabawa, Laura, Drees, Lukas, Roscher, Ribana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8990779/
https://www.ncbi.nlm.nih.gov/pubmed/35402903
http://dx.doi.org/10.3389/frai.2022.830026

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8990779/
https://www.ncbi.nlm.nih.gov/pubmed/35402903
http://dx.doi.org/10.3389/frai.2022.830026

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