Vineyard
Related papers: 20
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Top Cited Papers
Technology in precision viticulture: a state of the art review
Alessandro Matese, Salvatore Filippo Di Gennaro
Citations: 229 • 2015
A Robot System for Pruning Grape Vines
Tom Botterill, Scott Paulin, Richard D. Green, Samuel Williams, Jessica Lin, Valerie P. Saxton, Steven Mills, Xiaoqi Chen, Sam Corbett‐Davies
Citations: 218 • 2016
Vision-based extraction of spatial information in grape clusters for harvesting robots
Lufeng Luo, Yunchao Tang, Xiangjun Zou, Min Ye, Wenxian Feng, Guoqing Li
Citations: 133 • 2016
A vision methodology for harvesting robot to detect cutting points on peduncles of double overlapping grape clusters in a vineyard
Lufeng Luo, Yunchao Tang, Qinghua Lu, Xiong Chen, Po Zhang, Xiangjun Zou
Citations: 133 • 2018
State of the Art of Monitoring Technologies and Data Processing for Precision Viticulture
Marco Ammoniaci, Simon-Paolo Kartsiotis, Rita Perria, Paolo Storchi
Citations: 105 • 2021
Robust Grape Cluster Detection in a Vineyard by Combining the AdaBoost Framework and Multiple Color Components
Lufeng Luo, Yunchao Tang, Xiangjun Zou, Chenglin Wang, Po Zhang, Wenxian Feng
Citations: 95 • 2016
Deep Learning Techniques for Grape Plant Species Identification in Natural Images
Carlos Pereira, Raul Morais, Manuel J. C. S. Reis
Citations: 93 • 2019
A pattern recognition strategy for visual grape bunch detection in vineyards
Rodrigo Pérez-Zavala, Miguel Torres‐Torriti, Fernando Auat Cheein, Giancarlo Troni
Citations: 92 • 2018
Agricultural robot in grape production system
M. Monta, Naoshi Kondo, Yasunori Shibano
Citations: 77 • 2002
In-Field Grape Cluster Size Assessment for Vine Yield Estimation Using a Mobile Robot and a Consumer Level RGB-D Camera
Polina Kurtser, Ola Ringdahl, Nati Rotstein, Ron Berenstein, Yael Edan
Citations: 60 • 2020
SwinGD: A Robust Grape Bunch Detection Model Based on Swin Transformer in Complex Vineyard Environment
Jinhai Wang, Zongyin Zhang, Lufeng Luo, Wenbo Zhu, Jianwen Chen, Wei Wang
Citations: 59 • 2021
Towards a Reliable Robot for Steep Slope Vineyards Monitoring
Filipe Neves dos Santos, Héber Sobreira, Daniel Campos, Raul Morais, António Paulo Moreira, Olga Contente
Citations: 53 • 2016
Towards a Reliable Monitoring Robot for Mountain Vineyards
Filipe Neves dos Santos, Héber Sobreira, Daniel Campos, Raul Morais, António Paulo Moreira, Olga Contente
Citations: 47 • 2015
Monitoring and Mapping Vineyard Water Status Using Non-Invasive Technologies by a Ground Robot
Juan Fernández‐Novales, Verónica Sáiz-Rubio, Ignacio Barrio, Francisco Rovira-Más, A. Cuenca, Joana Valente, Javier Tardáguila, María P. Diago
Citations: 46 • 2021
Bumblebee: A Path Towards Fully Autonomous Robotic Vine Pruning
Abhisesh Silwal, Francisco Yandún, Anjana Nellithimaru, Terence R. Bates, George Kantor
Citations: 46 • 2022
Grape stem detection using regression convolutional neural networks
Τheofanis Kalampokas, Εleni Vrochidou, George A. Papakostas, Theodore Pachidis, Vassilis G. Kaburlasos
Citations: 46 • 2021
Canopy density estimation in perennial horticulture crops using 3D spinning lidar SLAM
Thomas Löwe, Peyman Moghadam, Everard J. Edwards, Jason Williams
Citations: 46 • 2021
Autonomous and Safe Navigation of Mobile Robots in Vineyard with Smooth Collision Avoidance
Abhijeet Ravankar, Ankit A. Ravankar, Arpit Rawankar, Yohei HOSHINO
Citations: 40 • 2021
Routing Algorithms for Robot Assisted Precision Irrigation
Thomas C. Thayer, Stavros Vougioukas, Ken Goldberg, Stefano Carpin
Citations: 38 • 2018
Simultaneous localisation and mapping in a complex field environment
Peter Lepej, J. Rakun
Citations: 38 • 2016