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Convolutional Neural Network Ensemble Learning for Hyperspectral
  Imaging-based Blackberry Fruit Ripeness Detection in Uncontrolled Farm
  Environment

Convolutional Neural Network Ensemble Learning for Hyperspectral Imaging-based Blackberry Fruit Ripeness Detection in Uncontrolled Farm Environment

9 January 2024
Chollette C. Olisah
Ben Trewhella
Bo Li
Melvyn Smith
Benjamin Winstone
E. C. Whitfield
Felicidad Fernández Fernández
Harriet Duncalfe
ArXivPDFHTML

Papers citing "Convolutional Neural Network Ensemble Learning for Hyperspectral Imaging-based Blackberry Fruit Ripeness Detection in Uncontrolled Farm Environment"

10 / 10 papers shown
Title
Corn Yield Prediction with Ensemble CNN-DNN
Corn Yield Prediction with Ensemble CNN-DNN
Mohsen Shahhosseini
Guiping Hu
S. Khaki
S. Archontoulis
28
60
0
29 May 2021
Understanding Unconventional Preprocessors in Deep Convolutional Neural
  Networks for Face Identification
Understanding Unconventional Preprocessors in Deep Convolutional Neural Networks for Face Identification
Chollette C. Olisah
Lyndon N. Smith
CVBM
26
8
0
27 Mar 2019
An Augmented Linear Mixing Model to Address Spectral Variability for
  Hyperspectral Unmixing
An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing
Danfeng Hong
Naoto Yokoya
Jocelyn Chanussot
Xiaoxiang Zhu
39
712
0
29 Oct 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.1K
20,837
0
17 Apr 2017
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
1.4K
14,559
0
07 Oct 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
766
36,794
0
25 Aug 2016
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
878
27,358
0
02 Dec 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 2014
How transferable are features in deep neural networks?
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
231
8,336
0
06 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,348
0
04 Sep 2014
1