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Central Object Segmentation by Deep Learning to Continuously Monitor Fruit Growth through RGB Images

Monitoring fruit growth is useful when estimating final yields in advance and predicting optimum harvest times. However, observing fruit all day at the farm via RGB images is not an easy task because the light conditions are constantly changing. In this paper, we present CROP (Central Roundish Objec...

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Detalles Bibliográficos
Autores principales: Fukuda, Motohisa, Okuno, Takashi, Yuki, Shinya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8586972/
https://www.ncbi.nlm.nih.gov/pubmed/34770306
http://dx.doi.org/10.3390/s21216999