Changying Li

Hivatkozott rá

	Összes	2020 óta
Hivatkozások	6928	4868
h-index	46	41
i10-index	118	97

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47 cikk

10 cikk

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Finanszírozási megbízások alapján

Társszerzők

Andrew H PatersonHead, Plant Genome Mapping Laboratory, University of GeorgiaE-mail megerősítve itt: uga.edu
Yu JiangAssistant Professor, Cornell AgriTech, Cornell UniversityE-mail megerősítve itt: cornell.edu
Rui XuUniversity of FloridaE-mail megerősítve itt: ufl.edu
Glen RainsProfessor of Entomology, University of GeorgiaE-mail megerősítve itt: uga.edu
Shangpeng SunAssistant Professor, McGill University, CanadaE-mail megerősítve itt: mcgill.ca
Weilin WangUniversity of GeorgiaE-mail megerősítve itt: uga.edu
Mengyun ZhangAssociate Professor, Shihezi UniversityE-mail megerősítve itt: shzu.edu.cn
John L SniderCrop and Soil Sciences, University of GeorgiaE-mail megerősítve itt: uga.edu
Chee PWUniversity of GeorgiaE-mail megerősítve itt: uga.edu
Fan ShuxiangBeijing Research Center of Intelligent Equipment for AgricultureE-mail megerősítve itt: nercita.org.cn
Harald SchermUniversity of GeorgiaE-mail megerősítve itt: uga.edu
Won Suk LeeProfessor of Agricultural and Biological Engineeing, University of FloridaE-mail megerősítve itt: ufl.edu
Victor AlchanatisResearch scientist, Volcani center, ARO, IsraelE-mail megerősítve itt: volcani.agri.gov.il
Jeevan AdhikariGenomics Breeder, CoverCress Inc.E-mail megerősítve itt: covercress.com
Javad Mohammadpour VelniClemson UniversityE-mail megerősítve itt: clemson.edu
fanbin kongProfessor of Food Science and Technology, university of georgiaE-mail megerősítve itt: uga.edu
Samet Ozturk, Ph.DFood Science and Technology, University of GeorgiaE-mail megerősítve itt: uga.edu
Kadeghe Goodluck FueSenior Lecturer, Electronics and Precision Agriculture Lab (EPAL), SUAE-mail megerősítve itt: sua.ac.tz
Himabindu GazulaStarbucks Coffee CompanyE-mail megerősítve itt: starbucks.com
Luis F. RodríguezUniversity of Illinois at Urbana-ChampaignE-mail megerősítve itt: illinois.edu

Követés

Changying Li

Professor of Agricultural & Biological Engineering, University of Florida; Adjunct Professor at UGA

E-mail megerősítve itt: ufl.edu - Kezdőlap

sensing agricultural robotics machine learning phenomics precision agriculture


Cím Rendezés hivatkozások szerint Rendezés év szerint Rendezés cím szerint	Hivatkozott rá Hivatkozott rá	Év
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	725	2010
Convolutional neural networks for image-based high-throughput plant phenotyping: a review Y Jiang, C Li Plant Phenomics, 2020	297	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	188	2020
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	159	2018
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	150	2007
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	144	2016
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	137	2010
In-field high-throughput phenotyping of cotton plant height using LiDAR S Sun, C Li, AH Paterson Remote Sensing 9 (4), 377, 2017	129	2017
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	115	2019
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	113	2020
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	112	2018
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	109	2020
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	108	2020
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	108	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	108	2012
Multispectral imaging and unmanned aerial systems for cotton plant phenotyping R Xu, C Li, AH Paterson PloS one 14 (2), e0205083, 2019	102	2019
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	97	2017
Size estimation of sweet onions using consumer-grade RGB-depth sensor W Wang, C Li Journal of food engineering 142, 153-162, 2014	94	2014
High throughput phenotyping of tomato spot wilt disease in peanuts using unmanned aerial systems and multispectral imaging A Patrick, S Pelham, A Culbreath, CC Holbrook, IJ De Godoy, C Li IEEE Instrumentation & Measurement Magazine 20 (3), 4-12, 2017	92	2017
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	91	2018

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