研究成果

第 1 到 73 筆結果，共 73 筆。

公開日期標題作者來源出版物scopusWOS全文
12024Enhancing machine learning-based age estimation for Pacific bluefin tuna: An approach with data imputation and image augmentation strategiesMa, Tsung Hsiang; YI-JAY CHANG ; JEN-CHIEH SHIAO ; Jin, Chien Bang; YAN-FU KUO Fisheries Research
22023Developing an automatic warning system for anomalous chicken dispersion and movement using deep learning and machine learningChen, Bo Lin; Cheng, Ting Hui; Huang, Yi Che; Hsieh, Yu Lun; Hsu, Hao Chun; Lu, Chen Yi; Huang, Mao Hsiang; Nien, Shu Yao; YAN-FU KUO Poultry Science11
32023Detecting Carcass Defects of Native Chickens Using Convolutional Neural NetworksLai, Pin Cheng; YAN-FU KUO 2023 ASABE Annual International Meeting
42023Early Warning System for Open-beaked Ratio, Spatial dispersion, and Movement of Chicken Using CNNsChen, Bo Lin; YAN-FU KUO 2023 ASABE Annual International Meeting
52022Automatic measuring shrimp body length using CNN and an underwater imaging systemLai, Pin Cheng; Lin, Hong Yang; Lin, Jui Yu; Hsu, Hao Chun; YUAN-NAN CHU ; Liou, Chyng Hwa; YAN-FU KUO Biosystems Engineering
62022Analyzing chicken activity level under heat stress condition using deep convolutional neural networksChang, Kai Rong; Shih, Fu Pang; Hsieh, Ming Kun; Hsieh, Kuang Wen; YAN-FU KUO 2022 ASABE Annual International Meeting
72022Developing Cucumber Foliar Disease Complex Identification Using One-hot and Multi-hot Labeling MethodsHsueh, Meng Chien; Dai, Yu Lun; Ling, Chu Ping; Huang, Jin Hsing; YAN-FU KUO ; SHIH-FANG CHEN 2022 ASABE Annual International Meeting
82022Identifying Fagaceae and Lauraceae species using leaf images and convolutional neural networksWu T.-Y; Yeh K.-T; Hsu H.-C; Yang C.-K; Tsai M.-J ; YAN-FU KUO Ecological Informatics54
92021Nectar Guide Patterns on Developmentally Homologous Regions of the Subtribe Ligeriinae (Gesneriaceae)Hsu H.-C; YAN-FU KUO Frontiers in Plant Science11
102021AUTOMATIC MONITORING of CHICKEN MOVEMENT and DRINKING TIME USING CONVOLUTIONAL NEURAL NETWORKSLin C.-Y; Hsieh K.-W; Tsai Y.-C; YAN-FU KUO Transactions of the ASABE
112021Identifying Tomato Diseases from Leave Images Using Deep Convolutional Neural NetworksCheng H.-H; Dai Y.-L; Lin C.-P; Huang J.-H; Chen S.-F; YAN-FU KUO American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE 2021
122021Developing a guiding and growth status monitoring system for riding-type tea plucking machine using fully convolutional networksLin Y.-K; Chen S.-F; YAN-FU KUO ; Liu T.-L; Lee S.-Y.Computers and Electronics in Agriculture
132021Automatic monitoring of lactation frequency of sows and movement quantification of newborn piglets in farrowing houses using convolutional neural networksHo K.-Y; Tsai Y.-J; YAN-FU KUO Computers and Electronics in Agriculture
142020Identifying the species of harvested tuna and billfish using deep convolutional neural networksLu, YC; Tung, C; Kuo, YF; YAN-FU KUO ICES JOURNAL OF MARINE SCIENCE2421
1520203D revelation of phenotypic variation, evolutionary allometry, and ancestral states of corolla shape: a case study of clade Corytholoma (subtribe Ligeriinae, family Gesneriaceae)Hsu, Hao-Chun; Chou, Wen-Chieh; Kuo, Yan-Fu; YAN-FU KUO GigaScience56
162020Quantification of petal patterns and colours of genus Sinningia (GESNERIACEAE)Hung, T.-T.; Hsu, H.-C.; YAN-FU KUO Biosystems Engineering1
172020Detecting and counting harvested fish and identifying fish types in electronic monitoring system videos using deep convolutional neural networksTseng, C.-H.; YAN-FU KUO ICES Journal of Marine Science31
182020Automatic measurement of the body length of harvested fish using convolutional neural networksTseng, CH; Hsieh, CL; Kuo, YF; YAN-FU KUO BIOSYSTEMS ENGINEERING2422
192020Automatic Identification of First-Order Veins and Corolla Contours in Three-Dimensional Floral ImagesWang, Y.-H.; Hsu, H.-C.; Chou, W.-C.; Liang, C.-H.; YAN-FU KUO Frontiers in Plant Science11
202019Counting bacterial colony on agar plates using deep convolutional neural networkChen, Szu Yu; YAN-FU KUO ; Lin, Hong Ye; Hong-Ye Lin; Szu-Yu Chen; Chia-Lin Chung; CHIA-LIN CHUNG 2019 ASABE Annual International Meeting20
212019Detecting and counting harvested fish and measuring fish body lengths in video using deep learning methodsTseng, Chi Hsuan; YAN-FU KUO 2019 ASABE Annual International Meeting
222019Monitoring growth rate of lettuce using deep convolutional neural networksLu, Jie Yan; Chang, Chung Liang; YAN-FU KUO 2019 ASABE Annual International Meeting
232019Identifying species of common sea fish harvested by longliner using deep convolutional neural networksLu, Yi Chin; YAN-FU KUO 2019 ASABE Annual International Meeting10
242019Estimating shrimp body length using deep convolutional neural networkLin, Hong Yang; Lee, Hsin-Chen; Ng, Woei-Ling; Pai, Jyh Nain; YUAN-NAN CHU ; Liou, Chyng-Hwa; KUO-CHI LIAO ; YAN-FU KUO 2019 ASABE Annual International Meeting40
252019Determining the body condition scores of sows using convolutional neural networksMao-Hsiang Huang; EN-CHUNG LIN ; YAN-FU KUO 2019 ASABE Annual International Meeting
262019Identifying and localizing the disease spots of late blight on tomato leaves using deep convolutional neural networksLin, Chu Ping; Cheng, Hsueh Hung; YAN-FU KUO ; Huang, Jin Hsing; SHIH-FANG CHEN ; Ke, Yan Ling; Lin, Chu Ping; Cheng, Hsueh Hung; Huang, Jin Hsing2019 ASABE Annual International Meeting10
272019Differentiating between morphologically similar species in genus Cinnamomum (Lauraceae)using deep convolutional neural networksYang H.-W.; Hsu H.-C.; Yang C.-K.; Tsai M.-J. ; YAN-FU KUO Computers and Electronics in Agriculture2015
282018Developing a system for three-dimensional quantification of root traits of rice seedlingsYAN-FU KUO Computers and Electronics in Agriculture1810
292018Quantifying colour and spot characteristics for the ventral petals in Sinningia speciosaH. C. Hsu; K. L. Hsu; C. Y. Chan; C. N. Wang ; YAN-FU KUO Biosystems Engineering43
302018Detecting and counting soybean aphids using convolutional neural networkHsieh K.-Y.; Ho C.-K.; YAN-FU KUO ; CHUAN-KAI HO ASABE 2018 Annual International Meeting10
312018Cat face recognition using deep learningLin T.-Y.; YAN-FU KUO ASABE 2018 Annual International Meeting
322018Discriminating morphologically similar species in Genus Cinnamomum (Lauraceae) using machine visionYang H.-W.; Hsu H.-C.; Yang C.-K.; Tsai M.-J.; YAN-FU KUO 2018 ASABE Annual International Meeting
332018Monitoring chicken heat stress using deep convolutional neural networksLin C.-Y.; Hsieh K.-W.; Tsai Y.-C.; YAN-FU KUO ASABE 2018 Annual International Meeting
342018Automatically identifying floral contours and vascular bundles in 3D imagesWang Y.-H.; Hsu H.-C.; Chou W.-C.; YAN-FU KUO ASABE 2018 Annual International Meeting
352017Association between Petal Form Variation and CYC2 like Genotype in a Hybrid Line of Sinningia speciosaH. C. Hsu; C. N. Wang ; C. H. Liang; C. C. Wang; YAN-FU KUO Frontiers in Plant Science1616
362017Sea fish identification using convolutional neural networkTung C.; Hsieh C.-L.; YAN-FU KUO 2017 ASABE Annual International Meeting
372017Three dimensional phenotype quantitative system of seedling rootHan T.-H.; YAN-FU KUO 2017 ASABE Annual International Meeting
382017Studying floral shape variations in 3D for genus SinningiaChou W.-C.; Hsu H.-C.; YAN-FU KUO 2017 ASABE Annual International Meeting
392016Detecting Bakanae disease in rice seedlings by machine visionCHIA-LIN CHUNG ; Kai-Jyun Huang; Szu-Yu Chen; Ming-Hsing Lai; Yu-Chia Chen; YAN-FU KUO Computers and Electronics in Agriculture
402016High-resolution phenotyping for investigating the genotype-phenotype association in rice grainsKuo T.-Y.; Chen S.-Y.; Lin H.-A.; Chung C.-L.; CHIA-LIN CHUNG ; YAN-FU KUO 2016 American Society of Agricultural and Biological Engineers Annual International Meeting00
412016Strawberry foliar anthracnose assessment by hyperspectral imagingYeh Y.-H.; Chung W.-C.; Liao J.-Y.; Chung C.-L. ; Kuo Y.-F. ; TA-TE LIN Computers and Electronics in Agriculture3429
422016Identifying rice grains using image analysis and sparse-representation-based classificationKuo, T.-Y.; CHIA-LIN CHUNG ; Chen, S.-Y.; Lin, H.-A.; YAN-FU KUO Computers and Electronics in Agriculture
432015Measurement of residual bran distribution on milled rice using fluorescence fingerprint-derived imagingYAN-FU KUO Food Science and Technology Research21
442015QR code detection using convolutional neural networksYAN-FU KUO 2015 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2015290
452015Morphological integration between floral petals for Sinnigia speciosaYAN-FU KUO American Society of Agricultural and Biological Engineers Annual International Meeting 20151
462015Identifying rice grains of various cultivars using machine visionYAN-FU KUO American Society of Agricultural and Biological Engineers Annual International Meeting 20152
472015Quantitative analysis of floral symmetry and tube dilation in an F<inf>2</inf> cross of Sinningia speciosaHsu, H.-C.; Chen, C.-Y.; Lee, T.-K.; Weng, L.-K.; DER-MING YEH ; TA-TE LIN ; CHUN-NENG WANG ; YAN-FU KUO Scientia Horticulturae
482015Computer-aided assessment of tumor grade for breast cancer in ultrasound imagesChen, D.-R.; Chien, C.-L.; YAN-FU KUO Computational and Mathematical Methods in Medicine
492015Quantifying floral shape variation in 3D using microcomputed tomography: A case study of a hybrid line between actinomorphic and zygomorphic flowersCHUN-NENG WANG ; Hsu, H.-C.; Wang, C.-C.; Lee, T.-K.; YAN-FU KUO Frontiers in Plant Science
502015Image-based approach to detect bakanae disease on rice seedlingsYAN-FU KUO American Society of Agricultural and Biological Engineers Annual International Meeting 2015
512014Observation and measurement of residual bran on milled rice using hyperspectral imagingYAN-FU KUO Cereal Chemistry54
522014Three-dimensional shape variation analysis on sinningia speciosa flowersYAN-FU KUO American Society of Agricultural and Biological Engineers Annual International Meeting 2014
532014Detecting bran residue distribution on rice surface using fluorescence imagingYAN-FU KUO American Society of Agricultural and Biological Engineers Annual International Meeting 2014, ASABE 20141
542013Quantitative evaluation of the floral shape variation in Sinningia speciosa domesticationYAN-FU KUO American Society of Agricultural and Biological Engineers Annual International Meeting 201300
552013Cooperative teaching in a distance education environmentYAN-FU KUO Computers in Education Journal0
562013Cooperative teaching in a distance education environmentThai, C.N.; YAN-FU KUO ; Yen, P.-L.ASEE Annual Conference and Exposition, Conference Proceedings
572013Calibration color patch reduction and halftone level selection for electrophotographyYAN-FU KUO ; Chiu, G.T.-C.; Allebach, J.P.Journal of Imaging Science and Technology
582013A comparison of machine learning methods on Hyperspectral plant disease assessmentsYAN-FU KUO IFAC Proceedings Volumes (IFAC-PapersOnline)16
592013Measurement of degree of milling for rice using hyperspectral imagingYAN-FU KUO American Society of Agricultural and Biological Engineers Annual International Meeting 2013, ASABE 201300
602012Cartridge clustering for improving tone prediction accuracy in calibration for color electrophotographyYang, C.-L.; YAN-FU KUO ; Yih, Y.; Chiu, G.T.-C.; Allebach, J.P.International Conference on Digital Printing Technologies
612012Experimental characterization of transient tone deviation in print jobs for color electrophotographyYAN-FU KUO Journal of Imaging Science and Technology22
622012An adaptive model-based approach to reduce calibration frequency while maintaining tone consistency for color electrophotographyYAN-FU KUO ; Chiu, G.T.-C.; Kerby, G.H.; Trask, J.L.; Yih, Y.; Allebach, J.P.International Conference on Digital Printing Technologies
632011Calibration color patch reduction for electrophotographyYAN-FU KUO International Conference on Digital Printing Technologies0
642011Model-based calibration approach to improve tone consistency for color electrophotographyYAN-FU KUO Journal of Imaging Science and Technology65
652010Improving tone prediction in calibration of electrophotographic printers by linear regression: Environmental, consumables and tone-level factorsYAN-FU KUO Journal of Imaging Science and Technology87
662010Improving tone prediction in calibration of electrophotographic printers by linear regression: Using principal components to account for co-linearity of sensor measurementsYAN-FU KUO Journal of Imaging Science and Technology87
672009Improving tone prediction accuracy in calibration for color electrophotography Part II - Principal component regressionYAN-FU KUO International Conference on Digital Printing Technologies0
682009Modeling of tone deviation during switch-on transient for color electrophotographyYAN-FU KUO International Conference on Digital Printing Technologies
692009Improving tone prediction accuracy in calibration for color electrophotography part I - Environmental and consumableYAN-FU KUO International Conference on Digital Printing Technologies
702005System level design and initial equivalent system mass analysis of a solid-phase thermophilic aerobic rector for advanced life support systemsYAN-FU KUO ; Whitaker D.R.; Chiu G.T.-C.SAE Technical Papers
712004應用影像處理技術輔助植物葉片之幾何模擬郭彥甫 ; 林達德 ; 王嘉銳; TA-TE LIN 農業機械學刊 
722001應用脈動式核磁共振量測醣類水溶液及果汁之可溶性固形物含量郭彥甫 ; 林達德 農業機械學刊
73-脈衝式低解析度核磁共振儀對水果糖度量測之應用郭彥甫 ; 林達德