Tomato Fruit Detection and Counting in Greenhouses Using Deep Learning

Accurately detecting and counting fruits during plant growth using imaging and computer vision is of importance not only from the point of view of reducing labor intensive manual measurements of phenotypic information, but also because it is a critical step toward automating processes such as harves...

Descripción completa

Detalles Bibliográficos
Autores principales: Afonso, Manya, Fonteijn, Hubert, Fiorentin, Felipe Schadeck, Lensink, Dick, Mooij, Marcel, Faber, Nanne, Polder, Gerrit, Wehrens, Ron
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7717966/
https://www.ncbi.nlm.nih.gov/pubmed/33329628
http://dx.doi.org/10.3389/fpls.2020.571299

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7717966/
https://www.ncbi.nlm.nih.gov/pubmed/33329628
http://dx.doi.org/10.3389/fpls.2020.571299

Ejemplares similares