Sensing technologies for precision specialty crop production WS Lee, V Alchanatis, C Yang, M Hirafuji, D Moshou, C Li Computers and electronics in agriculture 74 (1), 2-33, 2010 | 682 | 2010 |
Convolutional neural networks for image-based high-throughput plant phenotyping: a review Y Jiang, C Li Plant Phenomics, 2020 | 243 | 2020 |
Measurement of optical properties of fruits and vegetables: A review R Lu, R Van Beers, W Saeys, C Li, H Cen Postharvest Biology and Technology 159, 111003, 2020 | 153 | 2020 |
Neural network and Bayesian network fusion models to fuse electronic nose and surface acoustic wave sensor data for apple defect detection C Li, P Heinemann, R Sherry Sensors and Actuators B: Chemical 125 (1), 301-310, 2007 | 151 | 2007 |
In-field high throughput phenotyping and cotton plant growth analysis using LiDAR S Sun, C Li, AH Paterson, Y Jiang, R Xu, JS Robertson, JL Snider, ... Frontiers in plant science 9, 16, 2018 | 143 | 2018 |
Gas sensor array for blueberry fruit disease detection and classification C Li, GW Krewer, P Ji, H Scherm, SJ Kays Postharvest Biology and Technology 55 (3), 144-149, 2010 | 133 | 2010 |
High throughput phenotyping of cotton plant height using depth images under field conditions Y Jiang, C Li, AH Paterson Computers and Electronics in Agriculture 130, 57-68, 2016 | 130 | 2016 |
In-field high-throughput phenotyping of cotton plant height using LiDAR S Sun, C Li, AH Paterson Remote Sensing 9 (4), 377, 2017 | 118 | 2017 |
Shortwave infrared hyperspectral imaging for detecting sour skin (Burkholderia cepacia)-infected onions W Wang, C Li, EW Tollner, RD Gitaitis, GC Rains Journal of Food Engineering 109 (1), 38-48, 2012 | 104 | 2012 |
Aerial images and convolutional neural network for cotton bloom detection R Xu, C Li, AH Paterson, Y Jiang, S Sun, JS Robertson Frontiers in plant science 8, 2235, 2018 | 102 | 2018 |
Three-dimensional photogrammetric mapping of cotton bolls in situ based on point cloud segmentation and clustering S Sun, C Li, PW Chee, AH Paterson, Y Jiang, R Xu, JS Robertson, ... ISPRS Journal of Photogrammetry and Remote Sensing 160, 195-207, 2020 | 93 | 2020 |
DeepSeedling: Deep convolutional network and Kalman filter for plant seedling detection and counting in the field Y Jiang, C Li, AH Paterson, JS Robertson Plant methods 15 (1), 141, 2019 | 93 | 2019 |
Detection of blueberry internal bruising over time using NIR hyperspectral reflectance imaging with optimum wavelengths S Fan, C Li, W Huang, L Chen Postharvest Biology and Technology 134, 55-66, 2017 | 92 | 2017 |
Deep learning image segmentation and extraction of blueberry fruit traits associated with harvestability and yield X Ni, C Li, H Jiang, F Takeda Horticulture research 7, 2020 | 89 | 2020 |
Multispectral imaging and unmanned aerial systems for cotton plant phenotyping R Xu, C Li, AH Paterson PloS one 14 (2), e0205083, 2019 | 88 | 2019 |
Simulation of an autonomous mobile robot for LiDAR-based in-field phenotyping and navigation J Iqbal, R Xu, S Sun, C Li Robotics 9 (2), 46, 2020 | 87 | 2020 |
Radio frequency heating of corn flour: Heating rate and uniformity S Ozturk, F Kong, RK Singh, JD Kuzy, C Li Innovative food science & emerging technologies 44, 191-201, 2017 | 86 | 2017 |
Size estimation of sweet onions using consumer-grade RGB-depth sensor W Wang, C Li Journal of food engineering 142, 153-162, 2014 | 84 | 2014 |
Detection of onion postharvest diseases by analyses of headspace volatiles using a gas sensor array and GC-MS C Li, NE Schmidt, R Gitaitis LWT-Food Science and Technology 44 (4), 1019-1025, 2011 | 84 | 2011 |
GPhenoVision: A ground mobile system with multi-modal imaging for field-based high throughput phenotyping of cotton Y Jiang, C Li, JS Robertson, S Sun, R Xu, AH Paterson Scientific reports 8 (1), 1213, 2018 | 80 | 2018 |