公開日期 | 標題 | 作者 | 來源出版物 | scopus | WOS | 全文 |
2020 | Detecting and counting harvested fish and identifying fish types in electronic monitoring system videos using deep convolutional neural networks | Tseng, C.-H.; YAN-FU KUO | ICES Journal of Marine Science | | 31 | |
2019 | Detecting and counting harvested fish and measuring fish body lengths in video using deep learning methods | Tseng, Chi Hsuan; YAN-FU KUO | 2019 ASABE Annual International Meeting | | | |
2018 | Detecting and counting soybean aphids using convolutional neural network | Hsieh K.-Y.; Ho C.-K.; YAN-FU KUO ; CHUAN-KAI HO | ASABE 2018 Annual International Meeting | 1 | 0 | |
2016 | Detecting Bakanae disease in rice seedlings by machine vision | CHIA-LIN CHUNG ; Kai-Jyun Huang; Szu-Yu Chen; Ming-Hsing Lai; Yu-Chia Chen; YAN-FU KUO | Computers and Electronics in Agriculture | | | |
2014 | Detecting bran residue distribution on rice surface using fluorescence imaging | YAN-FU KUO | American Society of Agricultural and Biological Engineers Annual International Meeting 2014, ASABE 2014 | 1 | | |
2023 | Detecting Carcass Defects of Native Chickens Using Convolutional Neural Networks | Lai, Pin Cheng; YAN-FU KUO | 2023 ASABE Annual International Meeting | | | |
2019 | Determining the body condition scores of sows using convolutional neural networks | Mao-Hsiang Huang; EN-CHUNG LIN ; YAN-FU KUO | 2019 ASABE Annual International Meeting | | | |
2021 | Developing a guiding and growth status monitoring system for riding-type tea plucking machine using fully convolutional networks | Lin Y.-K; Chen S.-F; YAN-FU KUO ; Liu T.-L; Lee S.-Y. | Computers and Electronics in Agriculture | | | |
2018 | Developing a system for three-dimensional quantification of root traits of rice seedlings | YAN-FU KUO | Computers and Electronics in Agriculture | 18 | 10 | |
2023 | Developing an automatic warning system for anomalous chicken dispersion and movement using deep learning and machine learning | Chen, 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 Science | 1 | 1 | |
2022 | Developing Cucumber Foliar Disease Complex Identification Using One-hot and Multi-hot Labeling Methods | Hsueh, Meng Chien; Dai, Yu Lun; Ling, Chu Ping; Huang, Jin Hsing; YAN-FU KUO ; SHIH-FANG CHEN | 2022 ASABE Annual International Meeting | | | |
2019 | Differentiating between morphologically similar species in genus Cinnamomum (Lauraceae)using deep convolutional neural networks | Yang H.-W.; Hsu H.-C.; Yang C.-K.; Tsai M.-J. ; YAN-FU KUO | Computers and Electronics in Agriculture | 20 | 15 | |
2018 | Discriminating morphologically similar species in Genus Cinnamomum (Lauraceae) using machine vision | Yang H.-W.; Hsu H.-C.; Yang C.-K.; Tsai M.-J.; YAN-FU KUO | 2018 ASABE Annual International Meeting | | | |
2023 | Early Warning System for Open-beaked Ratio, Spatial dispersion, and Movement of Chicken Using CNNs | Chen, Bo Lin; YAN-FU KUO | 2023 ASABE Annual International Meeting | | | |
2024 | Enhancing machine learning-based age estimation for Pacific bluefin tuna: An approach with data imputation and image augmentation strategies | Ma, Tsung Hsiang; YI-JAY CHANG ; JEN-CHIEH SHIAO ; Jin, Chien Bang; YAN-FU KUO | Fisheries Research | | | |
2019 | Estimating shrimp body length using deep convolutional neural network | Lin, 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 Meeting | 4 | 0 | |
2012 | Experimental characterization of transient tone deviation in print jobs for color electrophotography | YAN-FU KUO | Journal of Imaging Science and Technology | 2 | 2 | |
2016 | High-resolution phenotyping for investigating the genotype-phenotype association in rice grains | Kuo 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 Meeting | 0 | 0 | |
2019 | Identifying and localizing the disease spots of late blight on tomato leaves using deep convolutional neural networks | Lin, Chu Ping; Cheng, Hsueh Hung; YAN-FU KUO; Huang, Jin Hsing; SHIH-FANG CHEN; Ke, Yan Ling; Lin, Chu Ping; Cheng, Hsueh Hung; YAN-FU KUO; Huang, Jin Hsing; SHIH-FANG CHEN; YAN-FU KUO ; SHIH-FANG CHEN | 2019 ASABE Annual International Meeting | | | |
2022 | Identifying Fagaceae and Lauraceae species using leaf images and convolutional neural networks | Wu T.-Y; Yeh K.-T; Hsu H.-C; Yang C.-K; Tsai M.-J ; YAN-FU KUO | Ecological Informatics | 5 | 4 | |