Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2208.02394
Cited By
End-to-end deep learning for directly estimating grape yield from ground-based imagery
4 August 2022
A. Olenskyj
B. Sams
Zhenghao Fei
Vishal Singh
P. Raja
G. Bornhorst
J. M. Earles
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"End-to-end deep learning for directly estimating grape yield from ground-based imagery"
4 / 4 papers shown
Title
Segment Anything for comprehensive analysis of grapevine cluster architecture and berry properties
Efrain Torres-Lomas
Jimena Lado-Jimena
Guillermo Garcia-Zamora
Luis Diaz-Garcia
65
2
0
19 Mar 2024
Comparing a composite model versus chained models to locate a nearest visual object
Antoine Le Borgne
Xavier Marjou
Fanny Parzysz
Tayeb Lemlouma
57
2
0
02 Jun 2023
DAVIS-Ag: A Synthetic Plant Dataset for Prototyping Domain-Inspired Active Vision in Agricultural Robots
Taeyeong Choi
Dario Guevara
Zifei Cheng
Grisha Bandodkar
Chonghan Wang
B. Bailey
Mason Earles
Xin Liu
65
1
0
10 Mar 2023
Benchmarking Edge Computing Devices for Grape Bunches and Trunks Detection using Accelerated Object Detection Single Shot MultiBox Deep Learning Models
S. Magalhães
Filipe Neves dos Santos
P. Machado
António Paulo Moreira
Jorge Dias
67
19
0
21 Nov 2022
1