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Yanfu Kuo
Yanfu Kuo
Verified email at ntu.edu.tw
Title
Cited by
Cited by
Year
Detecting Bakanae disease in rice seedlings by machine vision
CL Chung, KJ Huang, SY Chen, MH Lai, YC Chen, YF Kuo
Computers and electronics in agriculture 121, 404-411, 2016
1922016
Identifying rice grains using image analysis and sparse-representation-based classification
TY Kuo, CL Chung, SY Chen, HA Lin, YF Kuo
Computers and Electronics in Agriculture 127, 716-725, 2016
942016
Strawberry foliar anthracnose assessment by hyperspectral imaging
YH Yeh, WC Chung, JY Liao, CL Chung, YF Kuo, TT Lin
Computers and Electronics in Agriculture 122, 1-9, 2016
592016
Detecting and counting harvested fish and identifying fish types in electronic monitoring system videos using deep convolutional neural networks
CH Tseng, YF Kuo
ICES Journal of Marine Science 77 (4), 1367-1378, 2020
562020
Automatic measurement of the body length of harvested fish using convolutional neural networks
CH Tseng, CL Hsieh, YF Kuo
Biosystems Engineering 189, 36-47, 2020
432020
Quantifying floral shape variation in 3D using microcomputed tomography: a case study of a hybrid line between actinomorphic and zygomorphic flowers
CN Wang, HC Hsu, CC Wang, TK Lee, YF Kuo
Frontiers in Plant Science 6, 151876, 2015
432015
QR code detection using convolutional neural networks
TH Chou, CS Ho, YF Kuo
2015 International conference on advanced robotics and intelligent systems …, 2015
422015
Identifying the species of harvested tuna and billfish using deep convolutional neural networks
YC Lu, C Tung, YF Kuo
ICES Journal of Marine Science 77 (4), 1318-1329, 2020
372020
Differentiating between morphologically similar species in genus Cinnamomum (Lauraceae) using deep convolutional neural networks
HW Yang, HC Hsu, CK Yang, MJ Tsai, YF Kuo
Computers and Electronics in Agriculture 162, 739-748, 2019
302019
A comparison of machine learning methods on hyperspectral plant disease assessments
YHF Yeh, WC Chung, JY Liao, CL Chung, YF Kuo, TT Lin
IFAC Proceedings Volumes 46 (4), 361-365, 2013
242013
Developing a system for three-dimensional quantification of root traits of rice seedlings
TH Han, YF Kuo
Computers and Electronics in Agriculture 152, 90-100, 2018
232018
Computer-aided assessment of tumor grade for breast cancer in ultrasound images
DR Chen, CL Chien, YF Kuo
Computational and mathematical methods in medicine 2015, 2015
232015
Association between petal form variation and CYC2-like genotype in a hybrid line of Sinningia speciosa
HC Hsu, CN Wang, CH Liang, CC Wang, YF Kuo
Frontiers in Plant Science 8, 259963, 2017
202017
Monitoring growth rate of lettuce using deep convolutional neural networks
JY Lu, CL Chang, YF Kuo
2019 ASABE Annual International Meeting, 1, 2019
182019
Automatic monitoring of lactation frequency of sows and movement quantification of newborn piglets in farrowing houses using convolutional neural networks
KY Ho, YJ Tsai, YF Kuo
Computers and Electronics in Agriculture 189, 106376, 2021
172021
Automatic monitoring of chicken movement and drinking time using convolutional neural networks
CY Lin, KW Hsieh, YC Tsai, YF Kuo
Transactions of the ASABE 63 (6), 2029-2038, 2020
152020
Monitoring chicken heat stress using deep convolutional neural networks
CY Lin, KW Hsieh, YC Tsai, YF Kuo
2018 ASABE Annual International Meeting, 1, 2018
152018
Quantitative analysis of floral symmetry and tube dilation in an F2 cross of Sinningia speciosa
HC Hsu, CY Chen, TK Lee, LK Weng, DM Yeh, TT Lin, CN Wang, YF Kuo
Scientia Horticulturae 188, 71-77, 2015
142015
Machine learning based tone consistency calibration decisions
YF Kuo, GH Kerby, DA Abramsohn, J Allebach, JL Trask, GTC Chiu, Y Yih
US Patent App. 13/724,553, 2014
112014
Identifying Fagaceae and Lauraceae species using leaf images and convolutional neural networks
TY Wu, KT Yeh, HC Hsu, CK Yang, MJ Tsai, YF Kuo
Ecological Informatics 68, 101513, 2022
82022
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Articles 1–20