Fast Recognition and Counting Method of Dragon Fruit Flowers and Fruits Based on Video Stream.
ByteTrack
YOLOv5
fruit detection
object counting
object detection
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
13 Oct 2023
13 Oct 2023
Historique:
received:
01
09
2023
revised:
28
09
2023
accepted:
03
10
2023
medline:
30
10
2023
pubmed:
28
10
2023
entrez:
28
10
2023
Statut:
epublish
Résumé
Dragon fruit (
Identifiants
pubmed: 37896537
pii: s23208444
doi: 10.3390/s23208444
pmc: PMC10611008
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : 2023 Guangxi university young and middle-aged teachers scientific research basic ability improvement project, Guangxi Science and Technology Base and Talent Project,Science and Technology Major Project of Guangxi, China
ID : (2023KY0012), (2022AC21272),Gui Ke AA22117004
Références
Front Plant Sci. 2020 Jun 16;11:898
pubmed: 32612632
Sensors (Basel). 2021 Dec 23;22(1):
pubmed: 35009602