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End-to-end deep learning for directly estimating grape yield from
  ground-based imagery

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
ArXivPDFHTML

Papers citing "End-to-end deep learning for directly estimating grape yield from ground-based imagery"

5 / 5 papers shown
Title
Segment Anything for comprehensive analysis of grapevine cluster
  architecture and berry properties
Segment Anything for comprehensive analysis of grapevine cluster architecture and berry properties
Efrain Torres-Lomas
Jimena Lado-Jimena
Guillermo Garcia-Zamora
Luis Diaz-Garcia
35
2
0
19 Mar 2024
Comparing a composite model versus chained models to locate a nearest
  visual object
Comparing a composite model versus chained models to locate a nearest visual object
Antoine Le Borgne
Xavier Marjou
Fanny Parzysz
Tayeb Lemlouma
17
1
0
02 Jun 2023
DAVIS-Ag: A Synthetic Plant Dataset for Prototyping Domain-Inspired
  Active Vision in Agricultural Robots
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
27
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
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
21
17
0
21 Nov 2022
Image Segmentation for Fruit Detection and Yield Estimation in Apple
  Orchards
Image Segmentation for Fruit Detection and Yield Estimation in Apple Orchards
Suchet Bargoti
J. Underwood
43
406
0
25 Oct 2016
1