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 | 200 | 2016 |
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 | 96 | 2016 |
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 | 60 | 2016 |
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 | 58 | 2020 |
QR code detection using convolutional neural networks TH Chou, CS Ho, YF Kuo 2015 International conference on advanced robotics and intelligent systems …, 2015 | 45 | 2015 |
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 | 44 | 2020 |
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 | 43 | 2015 |
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 | 38 | 2020 |
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 | 30 | 2019 |
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 | 25 | 2013 |
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 | 23 | 2018 |
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 | 23 | 2015 |
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 | 21 | 2017 |
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 | 19 | 2021 |
Monitoring growth rate of lettuce using deep convolutional neural networks JY Lu, CL Chang, YF Kuo 2019 ASABE Annual International Meeting, 1, 2019 | 19 | 2019 |
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 | 16 | 2020 |
Monitoring chicken heat stress using deep convolutional neural networks CY Lin, KW Hsieh, YC Tsai, YF Kuo 2018 ASABE Annual International Meeting, 1, 2018 | 15 | 2018 |
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 | 14 | 2015 |
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 | 11 | 2014 |
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 | 9 | 2022 |