A Comparative Study of Fruit Detection and Counting Methods for Yield Mapping in Apple Orchards

22 October 2018

Papers citing "A Comparative Study of Fruit Detection and Counting Methods for Yield Mapping in Apple Orchards"

22 / 22 papers shown

Title
AgRegNet: A Deep Regression Network for Flower and Fruit Density Estimation, Localization, and Counting in Orchards Uddhav Bhattarai Santosh Bhusal Qin Zhang Manoj Karkee 144 3 0 20 Jan 2025
Apple Counting using Convolutional Neural Networks Nicolai Häni Pravakar Roy Volkan Isler 46 39 0 24 Aug 2022
Semantic Mapping for Orchard Environments by Merging Two-Sides Reconstructions of Tree Rows Wenbo Dong Pravakar Roy Volkan Isler 51 62 0 31 Aug 2018
Vision-Based Preharvest Yield Mapping for Apple Orchards Pravakar Roy Abhijeet Kislay Patrick A. Plonski J. Luby Volkan Isler 56 43 0 13 Aug 2018
Robust Fruit Counting: Combining Deep Learning, Tracking, and Structure from Motion Xuantong Liu Steven W. Chen S. Aditya N. Sivakumar Sandeep Dcunha Chao Qu Camillo J Taylor Jnaneshwar Das Vijay Kumar 45 108 0 01 Apr 2018
Feature Pyramid Networks for Object Detection Nayeon Lee Piotr Dollár Ross B. Girshick Kaiming He Bharath Hariharan Serge J. Belongie ObjD 468 22,102 0 09 Dec 2016
Speed/accuracy trade-offs for modern convolutional object detectors Jonathan Huang V. Rathod Chen Sun Menglong Zhu Anoop Korattikara Balan ... Ian S. Fischer Z. Wojna Yang Song S. Guadarrama Kevin Patrick Murphy 3DH 3DV 91 2,572 0 30 Nov 2016
Image Segmentation for Fruit Detection and Yield Estimation in Apple Orchards Suchet Bargoti J. Underwood 80 412 0 25 Oct 2016
Deep Fruit Detection in Orchards Suchet Bargoti J. Underwood 42 434 0 12 Oct 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 738 37,846 0 20 May 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Martín Abadi Ashish Agarwal P. Barham E. Brevdo Zhiwen Chen ... Pete Warden Martin Wattenberg Martin Wicke Yuan Yu Xiaoqiang Zheng 269 11,152 0 14 Mar 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi 377 14,247 0 23 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,878 0 10 Dec 2015
SSD: Single Shot MultiBox Detector Wen Liu Dragomir Anguelov D. Erhan Christian Szegedy Scott E. Reed Cheng-Yang Fu Alexander C. Berg ObjD BDL 229 29,816 0 08 Dec 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 1.1K 15,798 0 02 Nov 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 502 62,270 0 04 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,133 0 18 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,348 0 04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,525 0 01 Sep 2014
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 595 15,876 0 12 Nov 2013
ADADELTA: An Adaptive Learning Rate Method Matthew D. Zeiler ODL 150 6,624 0 22 Dec 2012