Orchard
Related papers: 20
Top Researchers
Top Cited Papers
Sensors and systems for fruit detection and localization: A review
Aleana Gongal, Suraj Amatya, Manoj Karkee, Q. Zhang, K.M. Lewis
Citations: 557 • 2015
Design, integration, and field evaluation of a robotic apple harvester
Abhisesh Silwal, Joseph R. Davidson, Manoj Karkee, Changki Mo, Qin Zhang, Karen Lewis
Citations: 387 • 2017
A detection algorithm for cherry fruits based on the improved YOLO-v4 model
Rongli Gai, Na Chen, Hai Yuan
Citations: 385 • 2021
Robotic kiwifruit harvesting using machine vision, convolutional neural networks, and robotic arms
Henry Williams, Mark Hedley Jones, Mahla Nejati, Matthew Seabright, Jamie Bell, Nicky Penhall, Josh J. Barnett, Mike Duke, Alistair Scarfe, Ho Seok Ahn, JongYoon Lim, Bruce A. MacDonald
Citations: 330 • 2019
Fruit detection and positioning technology for a Camellia oleifera C. Abel orchard based on improved YOLOv4-tiny model and binocular stereo vision
Yunchao Tang, Hao Zhou, Hongjun Wang, Yunqi Zhang
Citations: 248 • 2022
Faster R–CNN–based apple detection in dense-foliage fruiting-wall trees using RGB and depth features for robotic harvesting
Longsheng Fu, Yaqoob Majeed, Xin Zhang, Manoj Karkee, Qin Zhang
Citations: 217 • 2020
Fruit detection, segmentation and 3D visualisation of environments in apple orchards
Hanwen Kang, Chao Chen
Citations: 217 • 2020
Date Fruit Classification for Robotic Harvesting in a Natural Environment Using Deep Learning
Hamdi Altaheri, Mansour Alsulaiman, Ghulam Muhammad
Citations: 202 • 2019
Mapping almond orchard canopy volume, flowers, fruit and yield using lidar and vision sensors
James Underwood, Calvin Hung, Brett Whelan, Salah Sukkarieh
Citations: 179 • 2016
Comparing YOLOv8 and Mask R-CNN for instance segmentation in complex orchard environments
Ranjan Sapkota, Dawood Ahmed, Manoj Karkee
Citations: 172 • 2024
Deep learning-based apple detection using a suppression mask R-CNN
Pengyu Chu, Zhaojian Li, Kyle Lammers, Renfu Lu, Xiaoming Liu
Citations: 154 • 2021
Robot navigation in orchards with localization based on Particle filter and Kalman filter
Pieter M. Blok, Koen van Boheemen, F.K. van Evert, Joris IJsselmuiden, Gook-Hwan Kim
Citations: 150 • 2019
Detection of red and bicoloured apples on tree with an RGB-D camera
Tien Thanh Nguyen, Koenraad Vandevoorde, Niels Wouters, Erdal Kayacan, J.G. De Baerdemaeker, Wouter Saeys
Citations: 147 • 2016
Development and evaluation of a robust soft robotic gripper for apple harvesting
Xing Wang, Hanwen Kang, Hongyu Zhou, Wesley Au, Michael Yu Wang, Chao Chen
Citations: 140 • 2022
Local feature-based identification and classification for orchard insects
Chenglu Wen, Daniel E. Guyer, Wei Li
Citations: 115 • 2009
Robot Farmers: Autonomous Orchard Vehicles Help Tree Fruit Production
Marcel Bergerman, Silvio Maeta, Ji Zhang, Gustavo Freitas, Bradley Hamner, Sanjiv Singh, George Kantor
Citations: 114 • 2015
Faster-YOLO-AP: A lightweight apple detection algorithm based on improved YOLOv8 with a new efficient PDWConv in orchard
Zifu Liu, R. M. Rasika D. Abeyrathna, Rizky Mulya Sampurno, Victor Massaki Nakaguchi, Tofael Ahamed
Citations: 113 • 2024
In-field citrus detection and localisation based on RGB-D image analysis
Guichao Lin, Yunchao Tang, Xiangjun Zou, Jinhui Li, Juntao Xiong
Citations: 112 • 2019
Design and Field Evaluation of a Robotic Apple Harvesting System with a 3D-Printed Soft-Robotic End-Effector
Cameron J. Hohimer, Heng Wang, Santosh Bhusal, John H. Miller, Changki Mo, Manoj Karkee
Citations: 112 • 2019
Orchard mapping and mobile robot localisation using on-board camera and laser scanner data fusion – Part A: Tree detection
Nagham Shalal, Tobias Low, Cheryl McCarthy, Nigel Hancock
Citations: 104 • 2015