Journal Publications
- [1]Non-productive vine canopy estimation through proximal and remote sensing, 2016
- [2]Automatic grape bunch detection in vineyards for precise yield estimation, 2015
- [3]Spatial map generation from low cost ground vehicle mounted monocular camera, 2016
- [4]Automatic grape bunch detection in vineyards with an SVM classifier, 2015
- [5]Towards automated yield estimation in viticulture, 2013
- [6]Smartphone tools for measuring vine water status, 2016
- [7]Numerical simulation of the Reynolds number effect on the aerodynamic pressure in tunnels, 2018
- [8]A computer vision system for early stage grape yield estimation based on shoot detection, 2017
- [9]A fast method to measure stomatal aperture by MSER on smart mobile phone, 2016
- [10]Microscope image based fully automated stomata detection and pore measurement method for grapevines, 2017
- [11]A lightweight method for grape berry counting based on automated 3D bunch reconstruction from a single image, 2015
- [12]Numerical study on the aerodynamic pressure of a metro train running between two adjacent platforms, 2017
- [13]A robust automated flower estimation system for grape vines, 2018
- [14]The accuracy and utility of a low cost thermal camera and smartphone-based system to assess grapevine water status, 2019
- [15]Detection of shoots in vineyards by unsupervised learning with over the row computer vision system, 2015
- [16]Automated yield estimation in viticulture by computer vision., 2017
- [17]Novel vision-based abnormal behavior localization of pantograph-catenary for high-speed trains, 2019
- [18]Laser distance measurement by triangular-wave amplitude modulation based on the least squares, 2020
- [19]A vision-based robust grape berry counting algorithm for fast calibration-free bunch weight estimation in the field, 2020
- [20]A review of applications of visual inspection technology based on image processing in the railway industry, 2019
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Scarlett Liu
 Postal Address:937d2b288c4e31943cb00cda04b99863a019c815ad7086373f57bd5ae1ec12d09f4519b3e3441c316d72b86282d4b22508cdb9b9ef3a0857d08b29f8227ec14bfd5e874ce1968f14c9ab7b6b5735df6eb8a5700d51199de9e783a1e20c225cb250fa8222c686ab3aba7fa90fe57e8f4b10857340b49fbcbe78d8c6b4351c63ec Mobile:7d9d4b43c8f247325d8d477d523d2a9b2761eb9b466d854ea54c87b9a8c1b15f88f1d9133562f392f2b3e0893bfd625a05ba74595250ab571d744cb9ce35e68754e1bc1db552b9c78642686046faa89c17ddc266c78189773d1775eaedb18fa32851cc5e82e3993f56eb4a2d55622dc0ef5b82a574240c144f3f64a658a45382 Email:c5890751cd187628f93c27b94394c7697eb07ea8564d0b6bb2ec770288766e9b0c2854ce5a31d637314da0c4a2683fafb6150236039f9f4e4f4ca144093661b3d0ce143847007ef30e2cef603d5fe016f2bc946161bc066283005d4138a5446078a66779b13d1bf4a0ccb452bc5c3f26d0b43ba2722acb09e91b1895cf555e23
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