Cargando…
Pear Recognition in an Orchard from 3D Stereo Camera Datasets to Develop a Fruit Picking Mechanism Using Mask R-CNN
In orchard fruit picking systems for pears, the challenge is to identify the full shape of the soft fruit to avoid injuries while using robotic or automatic picking systems. Advancements in computer vision have brought the potential to train for different shapes and sizes of fruit using deep learnin...
Autores principales: | Pan, Siyu, Ahamed, Tofael |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185418/ https://www.ncbi.nlm.nih.gov/pubmed/35684807 http://dx.doi.org/10.3390/s22114187 |
Ejemplares similares
-
Tree Trunk Recognition in Orchard Autonomous Operations under Different Light Conditions Using a Thermal Camera and Faster R-CNN
por: Jiang, Ailian, et al.
Publicado: (2022) -
Real Time Pear Fruit Detection and Counting Using YOLOv4 Models and Deep SORT
por: Parico, Addie Ira Borja, et al.
Publicado: (2021) -
YOLO-P: An efficient method for pear fast detection in complex orchard picking environment
por: Sun, Han, et al.
Publicado: (2023) -
Navigation of an Autonomous Spraying Robot for Orchard Operations Using LiDAR for Tree Trunk Detection
por: Jiang, Ailian, et al.
Publicado: (2023) -
The Mycobiota of High Altitude Pear Orchards Soil in Colombia
por: Nicola, Lidia, et al.
Publicado: (2021)