Automated image identification, detection and fruit counting of top-view pineapple crown using machine learning
Automated fruit identification or recognition using image processing is a key element in precision agriculture for performing object detection in large crop plots. Automation of fruit recognition for the captured top-view of RGB based images using an unmanned aerial vehicle (UAV) is a challenge. Ima...
Guardado en:
Autores principales: | R. Wan Nurazwin Syazwani, H. Muhammad Asraf, M.A. Megat Syahirul Amin, K.A. Nur Dalila |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://doaj.org/article/8b57a4891af84a47a0caa6d59617bc30 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
The effects of composted pineapple residue return on soil properties and the growth and yield of pineapple
por: Liu,C. H, et al.
Publicado: (2013) -
FACTORS AFFECTING AGRIBUSINESS COMPETITIVENESS OF PINEAPPLE (ANANAS COMOSUS L. MERR) IN PEMALANG REGENCY, INDONESIA
por: Budiastuti N.R., et al.
Publicado: (2021) -
Influences of organic manure addition on the maturity and quality of pineapple fruits ripened in winter
por: Liu*,C.H., et al.
Publicado: (2012) -
Crown shape dynamics of dense mangrove Kandelia obovata stands in Manko Wetland, Okinawa Island, Japan
por: KANGKUSO ANALUDDIN, et al.
Publicado: (2016) -
Automated cell count in body fluids: a review
por: Alcaide Martín María José, et al.
Publicado: (2021)