Automatic grape bunch detection in vineyards with an SVM classifier S Liu, M Whitty Journal of Applied Logic 13 (4), 643-653, 2015 | 111 | 2015 |
A computer vision system for early stage grape yield estimation based on shoot detection S Liu, S Cossell, J Tang, G Dunn, M Whitty Computers and Electronics in Agriculture 137, 88-101, 2017 | 98 | 2017 |
Towards automated yield estimation in viticulture S Liu, S Marden, M Whitty Proceedings of the Australasian Conference on Robotics and Automation …, 2013 | 72 | 2013 |
Microscope image based fully automated stomata detection and pore measurement method for grapevines H Jayakody, S Liu, M Whitty, P Petrie Plant methods 13, 1-12, 2017 | 66 | 2017 |
The accuracy and utility of a low cost thermal camera and smartphone-based system to assess grapevine water status PR Petrie, Y Wang, S Liu, S Lam, MA Whitty, MA Skewes biosystems engineering 179, 126-139, 2019 | 62 | 2019 |
Autonomous navigation using a real-time 3d point cloud M Whitty, S Cossell, KS Dang, J Guivant, J Katupitiya 2010 Australasian Conference on Robotics and Automation, 1-3, 2010 | 57 | 2010 |
A vision-based robust grape berry counting algorithm for fast calibration-free bunch weight estimation in the field S Liu, X Zeng, M Whitty Computers and Electronics in Agriculture 173, 105360, 2020 | 56 | 2020 |
A robust automated flower estimation system for grape vines S Liu, X Li, H Wu, B Xin, J Tang, PR Petrie, M Whitty Biosystems Engineering 172, 110-123, 2018 | 56 | 2018 |
Path planning for autonomous bulldozers M Hirayama, J Guivant, J Katupitiya, M Whitty Mechatronics 58, 20-38, 2019 | 55 | 2019 |
DeepPhenology: Estimation of apple flower phenology distributions based on deep learning XA Wang, J Tang, M Whitty Computers and Electronics in Agriculture 185, 106123, 2021 | 53 | 2021 |
Side-view apple flower mapping using edge-based fully convolutional networks for variable rate chemical thinning XA Wang, J Tang, M Whitty Computers and Electronics in Agriculture 178, 105673, 2020 | 37 | 2020 |
A lightweight method for grape berry counting based on automated 3D bunch reconstruction from a single image S Liu, M Whitty, S Cossell ICRA, International conference on robotics and automation (IEEE), workshop …, 2015 | 33 | 2015 |
Accelerating automated stomata analysis through simplified sample collection and imaging techniques L Millstead, H Jayakody, H Patel, V Kaura, PR Petrie, F Tomasetig, ... Frontiers in plant science 11, 580389, 2020 | 30 | 2020 |
Gps-free localisation and navigation of an unmanned ground vehicle for yield forecasting in a vineyard S Marden, M Whitty Recent Advances in Agricultural Robotics, International workshop collocated …, 2014 | 29 | 2014 |
A generalised approach for high-throughput instance segmentation of stomata in microscope images H Jayakody, P Petrie, HJ Boer, M Whitty Plant Methods 17, 1-13, 2021 | 26 | 2021 |
3DBunch: A novel iOS-smartphone application to evaluate the number of grape berries per bunch using image analysis techniques S Liu, X Zeng, M Whitty Ieee Access 8, 114663-114674, 2020 | 26 | 2020 |
An evaluation of an apple canopy density mapping system for a variable-rate sprayer M Hu, M Whitty IFAC-PapersOnLine 52 (30), 342-348, 2019 | 26 | 2019 |
Internet‐based operation of autonomous robots: The role of data replication, compression, bandwidth allocation and visualization J Guivant, S Cossell, M Whitty, J Katupitiya Journal of Field Robotics 29 (5), 793-818, 2012 | 22 | 2012 |
Three‐dimensional reconstruction of Vitis vinifera (L.) cvs Pinot Noir and Merlot grape bunch frameworks using a restricted reconstruction grammar based on the … B Xin, S Liu, M Whitty Australian Journal of Grape and Wine Research 26 (3), 207-219, 2020 | 19 | 2020 |
A fast method to measure stomatal aperture by MSER on smart mobile phone S Liu, J Tang, P Petrie, M Whitty Applied industrial optics: spectroscopy, imaging and metrology, AIW2B. 2, 2016 | 19 | 2016 |