Cargando…
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...
| Autores principales: | , , |
|---|---|
| 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 |