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Publications

Peer-Reviewed Journal Articles

  1. Cheng, H. H., Dai, Y. L., Lin, Y., Hsu, H. C., Lin, C. P., Huang, J. H., ... & Kuo, Y. F. (2022). Identifying tomato leaf diseases under real field conditions using convolutional neural networks and a chatbot. Computers and Electronics in Agriculture, 202, 107365.

  2. Lai, P. C., Lin, H. Y., Lin, J. Y., Hsu, H. C., Chu, Y. N., Liou, C. H., & Kuo, Y. F. (2022). Automatic measuring shrimp body length using CNN and an underwater imaging system. Biosystems Engineering, 221, 224-235.

  3. Wu, T. Y., Yeh, K. T., Hsu, H. C., Yang, C. K., Tsai, M. J., & Kuo, Y. F. (2022). Identifying Fagaceae and Lauraceae species using leaf images and convolutional neural networks. Ecological Informatics, 101513.

  4. Lin, Y. K., Chen, S. F., Kuo, Y. F., Liu, T. L., & Lee, S. Y. (2021). Developing a guiding and growth status monitoring system for riding-type tea plucking machine using fully convolutional networks. Computers and Electronics in Agriculture, 191, 106540.

  5. Ho, K. Y., Tsai, Y. J., & Kuo, Y. F. (2021). Automatic monitoring of lactation frequency of sows and movement quantification of newborn piglets in farrowing houses using convolutional neural networks. Computers and Electronics in Agriculture, 189, 106376.

  6. Hsu, H. C., & Kuo, Y. F. (2021). Nectar Guide Patterns on Developmentally Homologous Regions of the Subtribe Ligeriinae (Gesneriaceae). Frontiers in Plant Science, 12, 622.

  7. Lin, C. Y., Hsieh, K. W., Tsai, Y. C., & Kuo, Y. F. (2020). Automatic monitoring of chicken movement and drinking time using convolutional neural networks. Transactions of the ASABE, 63(6), 2029-2038.

  8. Wang, Y. H., Hsu, H. C., Chou, W. C., Liang, C. H., & Kuo, Y. F. (2020). Automatic identification of first-order veins and corolla contours in 3D floral images. Frontiers in Plant Science, 11, 1406.

  9. Hung, T. T., Hsu, H. C., & Kuo, Y. F. (2020). Quantification of petal patterns and colours of genus sinningia (Gesneriaceae). Biosystems Engineering, 197, 324-335.

  10. Tseng, C. H., & Kuo, Y. F. (2020). Detecting and counting harvested fish and identifying fish types in electronic monitoring system videos using deep convolutional neural networks. ICES Journal of Marine Science, 77(4), 1367-1378.

  11. Lu, Y. C., Tung, C., & Kuo, Y. F. (2020). Identifying the species of harvested tuna and billfish using deep convolutional neural networks. ICES Journal of Marine Science, 77(4), 1318-1329.

  12. Hsu, H. C., Chou, W. C., & Kuo, Y. F. (2020). 3D revelation of phenotypic variation, evolutionary allometry, and ancestral states of corolla shape: a case study of clade Corytholoma (subtribe Ligeriinae, family Gesneriaceae). GigaScience, 9(1), giz155.

  13. Tseng, C. H., Hsieh, C. L., & Kuo, Y. F. (2020). Automatic measurement of the body length of harvested fish using convolutional neural networks. Biosystems Engineering, 189, 36-47.

  14. Yang, H. W., Hsu, H. C., Yang, C. K., Tsai, M. J., & Kuo, Y. F. (2019). Differentiating between morphologically similar species in genus Cinnamomum (Lauraceae) using deep convolutional neural networks. Computers and Electronics in Agriculture, 162, 739-748.

  15. Lee, C. H., Hsu, H. C., Yang, C. K., Tsai, M. J., & Kuo, Y. F. (2019). Identifying Fagaceae species in Taiwan using leaf images. Transactions of the ASABE, 62(5), 1055-1063.

  16. Han, T. H., & Kuo, Y. F. (2018). Developing a system for three-dimensional quantification of root traits of rice seedlings. Computers and Electronics in Agriculture, 152, 90-100.

  17. Hsu, H. C., Hsu, K. L., Chan, C. Y., Wang, C. N., & Kuo, Y. F. (2018). Quantifying colour and spot characteristics for the ventral petals in Sinningia speciosa. Biosystems Engineering, 167, 40-50.

  18. Hsu, H. C., Wang, C. N., Liang, C. H., Wang, C. C., & Kuo, Y. F. (2017). Association between petal form variation and CYC2-like genotype in a hybrid line of Sinningia speciosa. Frontiers in Plant Science, 8, 558.

  19. Kuo, T. Y., Chung, C. L., Chen, S. Y., Lin, H. A., & Kuo, Y. F. (2016). Identifying rice grains using image analysis and sparse-representation-based classification. Computers and Electronics in Agriculture, 127, 716-725.

  20. Yeh, Y. H., Chung, W. C., Liao, J. Y., Chung, C. L., Kuo, Y. F., & Lin, T. T. (2016). Strawberry foliar anthracnose assessment by hyperspectral imaging. Computers and Electronics in Agriculture, 122, 1-9.

  21. Chung, C. L., Huang, K. J., Chen, S. Y., Lai, M. H., Chen, Y. C., & Kuo, Y. F. (2016). Detecting Bakanae disease in rice seedlings by machine vision. Computers and electronics in agriculture, 121, 404-411.

  22. Wang, C. N., Hsu, H. C., Wang, C. C., Lee, T. K., & Kuo, Y. F. (2015). Quantifying floral shape variation in 3D using microcomputed tomography: a case study of a hybrid line between actinomorphic and zygomorphic flowers. Frontiers in Plant Science, 6, 724.

  23. Hsu, H. C., Chen, C. Y., Lee, T. K., Weng, L. K., Yeh, D. M., Lin, T. T., Wang, C. N.*, & Kuo, Y. F. (2015). Quantitative analysis of floral symmetry and tube dilation in an F2 cross of Sinningia speciosa. Scientia Horticulturae, 188, 71-77.

  24. Chen, W. T., & Kuo, Y. F. (2015). Measurement of residual bran distribution on milled rice using fluorescence fingerprint-derived imaging. Food Science and Technology Research, 21(2), 187-192.

  25. Chen, D. R., Chien, C. L., & Kuo, Y. F. (2015). Computer-aided assessment of tumor grade for breast cancer in ultrasound images. Computational and mathematical methods in medicine, 2015.

  26. Chen, W. T., & Kuo, Y. F. (2014). Observation and measurement of residual bran on milled rice using hyperspectral imaging. Cereal Chemistry, 91(6), 566-571.

  27. Thai, C. N., Kuo, Y. F., & Yen, P. L. (2013, June). Cooperative teaching in a distance education environment. In 2013 ASEE Annual Conference & Exposition (pp. 23-341).

  28. Kuo, Y. F., Chiu, G. T. C., Allebach, J. P., & Sahyun, M. R. V. (2013). Calibration Color Patch Reduction and Halftone Level Selection for Electrophotography. Journal of Imaging Science and Technology, 57(2), 20505-1.

  29. Kuo, Y. F., Yang, C. L., Yih, Y., Geleynse, C., Chiu, G., & Allebach, J. (2012). Experimental Characterization of Transient Tone Deviation in Print Jobs for Color Electrophotography. Journal of Imaging Science and Technology, 56(2), 20502-1.

  30. Kuo, Y. F., Yang, C. L., Chiu, G. T. C., Yih, Y., Allebach, J. P., & Abramsohn, D. A. (2011). Model-based calibration approach to improve tone consistency for color Electrophotography. Journal of Imaging Science and Technology, 55(6), 60505-1.

  31. Yang, C. L., Yih, Y., Kuo, Y. F., Chiu, G., & Allebach, J. (2010). Improving Tone Prediction in Calibration of Electrophotographic Printers by Linear Regression: Using Principal Components to Account for Co-Linearity of Sensor Measurements. Journal of Imaging Science and Technology, 54(5), 50302-1.

  32. Yang, C. L., Yih, Y., Ashton, G., Kuo, Y. F., Chiu, G., Abramsohn, D., & Allebach, J. (2010). Improving Tone Prediction in Calibration of Electrophotographic Printers by Linear Regression: Environmental, Consumables and Tone-Level Factors. Journal of Imaging Science and Technology, 54(5), 50301-1.

Conference Proceedings

  1. Kuo, T. C., Chen, S. P., & Kuo, Y. F. (2022, December). Automatically detecting scale insects using deep convolutional neural network. Commission Internationale du Génie Rural World Congress, Kyoto, Japan.

  2. Hsieh, F. C., Lin, M. J., & Kuo, Y. F. (2022, December). Quantifying virus resistance level of plants using convolutional neural network. Commission Internationale du Génie Rural World Congress, Kyoto, Japan.

  3. Chiu, T. W., Wu, H. Y., Lai, Q. J., Chung, P. C., & Kuo, Y. F. (2022, December). Strawberry diseases and pests identification using convolutional neural networks and LINE bot. Commission Internationale du Génie Rural World Congress, Kyoto, Japan.

  4. Cheng, T. H., Chen, B. L., & Kuo, Y. F. (2022, December). Development of embedded system for chicken monitoring using deep learning. Commission Internationale du Génie Rural World Congress, Kyoto, Japan.

  5. Lin, Y., Dai, Y. L., Lin, C. P., Huang, J. H., & Kuo, Y. F. (2022, December). Identifying tomato pests and diseases in Fields through LINE bot and deep learning. Commission Internationale du Génie Rural World Congress, Kyoto, Japan.

  6. Chen, B. L., & Kuo, Y. F. (2022, December). Early warning system for monitoring chicken using convolutional neural networks. Commission Internationale du Génie Rural World Congress, Kyoto, Japan.

  7. Lai, P. C., & Kuo, Y. F. (2022, December). Identifying damaged native chicken carcasses for automatic graded using deep learning. Commission Internationale du Génie Rural World Congress, Kyoto, Japan.

  8. Yeh, Y. H., & Kuo, Y. F. (2022, December). Designing an autonomous cruising robot in commercial chicken farm. Commission Internationale du Génie Rural World Congress, Kyoto, Japan.

  9. Tsai, Y. J., Lin, E. C., & Kuo, Y. F. (2022, December). An automatic system for monitoring lactation-related behaviors of sows and piglets using CNNs. Commission Internationale du Génie Rural World Congress, Kyoto, Japan.

  10. Chang, K. R., Shih, F. P., Hsieh, M. K., Hsieh, K. W., & Kuo, Y. F. (2022, December). Analyzing chicken movement under various temperature using deep convolutional neural networks. Commission Internationale du Génie Rural World Congress, Kyoto, Japan.

  11. Huang, Y. C., Huang, H. H., Lin, E. C., & Kuo, Y. F. (2022, December). Tracking leg keypoints of gilts using convolutional neural networks. Commission Internationale du Génie Rural World Congress, Kyoto, Japan.

  12. Ma, T. H., Lu, C. Y., Shiao, J. C., Chang, Y. J., & Kuo, Y. F. (2022, December). Automated fish age estimation of pacific bluefin tuna using deep learning with multitasks. Commission Internationale du Génie Rural World Congress, Kyoto, Japan.

  13. Hsu, H. C., Yeh, K. T., Chang, K. R., Lee, C. M., & Kuo, Y. F. (2022, December). Identification of Taiwan hinoki and meniki woods using convolutional neural networks and wood cross-section images. Commission Internationale du Génie Rural World Congress, Kyoto, Japan.

  14. Liao, J. K., & Kuo, Y. F. (2022, November). Wood species identification in family Lauraceae using deep learning. International Symposium on Machinery and Mechatronics for Agriculture and Biosystems Engineering, Kaohsiung, Taiwan.

  15. Hsieh, P. C., & Kuo, Y. F. (2022, November). Automatically detecting piglet keypoints using convolutional neural networks. International Symposium on Machinery and Mechatronics for Agriculture and Biosystems Engineering, Kaohsiung, Taiwan.

  16. Lee, C. C., & Kuo, Y. F. (2022, November). Automatically estimating shrimp feed residue using CNN and an underwater imaging system. International Symposium on Machinery and Mechatronics for Agriculture and Biosystems Engineering, Kaohsiung, Taiwan.

  17. Chang, K. R., Shih, F. P., Hsieh, M. K., Hsieh, K. W., & Kuo, Y. F. (2022). Analyzing chicken activity level under heat stress condition using deep convolutional neural networks. In 2022 ASABE Annual International Meeting (p. 1). American Society of Agricultural and Biological Engineers.

  18. Cheng, H. H., Dai, Y. L., Lin, C. P., Huang, J. H., Chen, S. F., & Kuo, Y. F. (2021). Identifying tomato diseases from leave images using deep convolutional neural networks. Paper presented at the 2021 American Society of Agricultural and Biological Engineers Annual International Meeting, July 12-16, 2021, Virtual.

  19. Tseng, C. H., & Kuo, Y. F. (2019) Detecting and counting harvested fish and measuring fish body lengths in video using deep learning methods. Paper presented at the 2019 American Society of Agricultural and Biological Engineers Annual International Meeting, July 7-10, 2019, Boston, MA, United States.

  20. Lu, Y. C., & Kuo, Y. F. (2019) Identifying species of common sea fish harvested by longliner using deep convolutional neural networks. Paper presented at the 2019 American Society of Agricultural and Biological Engineers Annual International Meeting, July 7-10, 2019, Boston, MA, United States.

  21. Lu, J. Y., Chang, C. L., & Kuo, Y. F. (2019) Monitoring growth rate of lettuce using deep convolutional neural networks. Paper presented at the 2019 American Society of Agricultural and Biological Engineers Annual International Meeting, July 7-10, 2019, Boston, MA, United States.

  22. Huang M. H., Lin, E. C., & Kuo, Y. F. (2019) Determining the body condition scores of sows using convolutional neural networks. Paper presented at the 2019 American Society of Agricultural and Biological Engineers Annual International Meeting, July 7-10, 2019, Boston, MA, United States.

  23. Lin, H. Y., Chen, S. Y., Chung, C. L., & Kuo, Y. F. (2019) Counting bacterial colony on agar plates using deep convolutional neural network. Paper presented at the 2019 American Society of Agricultural and Biological Engineers Annual International Meeting, July 7-10, 2019, Boston, MA, United States.

  24. Cheng, H. H., Ke, Y. L., Lin, C. P., Huang, J. H., Chen, S. F., & Kuo, Y. F. (2019) Identifying and localizing the disease spots of late blight on tomato leaves using deep convolutional neural networks. Paper presented at the 2019 American Society of Agricultural and Biological Engineers Annual International Meeting, July 7-10, 2019, Boston, MA, United States.

  25. Lin, H. Y., Lee, H. C., Ng, W. L., Pai, J. N., Chu, Y. N., Liou, C. H., Liao, K. C., & Kuo, Y. F. (2019) Estimating shrimp body length using deep convolutional neural network. Paper presented at the 2019 American Society of Agricultural and Biological Engineers Annual International Meeting, July 7-10, 2019, Boston, MA, United States.

  26. Lin, C. Y., Hsieh, K. W., Tsai, Y. C., & Kuo, Y. F. (2018). Monitoring chicken heat stress using deep convolutional neural networks. Paper presented at the 2018 American Society of Agricultural and Biological Engineers Annual International Meeting, July 29 - August 1, 2018, Detroit, MI, United States.

  27. Yang, H. W., Hsu, H. C., Yang, C. K., Tsai, M. J., & Kuo, Y. F. (2018). Discriminating morphologically similar species in Genus Cinnamomum (Lauraceae) using machine vision. Paper presented at the 2018 American Society of Agricultural and Biological Engineers Annual International Meeting, July 29 - August 1, 2018, Detroit, MI, United States.

  28. Hsieh, K. Y., Ho, C. K., & Kuo, Y. F. (2018). Detecting and counting soybean aphids using convolutional neural network. Paper presented at the 2018 American Society of Agricultural and Biological Engineers Annual International Meeting, July 29 - August 1, 2018, Detroit, MI, United States.

  29. Lin, T. Y., & Kuo, Y. F. (2018). Cat face recognition using deep learning. Paper presented at the 2018 American Society of Agricultural and Biological Engineers Annual International Meeting, July 29 - August 1, 2018, Detroit, MI, United States.

  30. Wang, Y. H., Hsu, H. C., Chou, W. C., & Kuo, Y. F. (2018). Automatically identifying floral contours and vascular bundles in 3D images. Paper presented at the 2018 American Society of Agricultural and Biological Engineers Annual International Meeting, July 29 - August 1, 2018, Detroit, MI, United States.

  31. Hung, T. T., Hsu, H. C., & Kuo, Y. F. (2018) Quantifying and clustering texture traits in flowers of genus Sinningia. Paper presented at ISMAB2018: the 9th International Symposium on Machinery and Mechatronics for Agriculture and Biosystems Engineering Annual International Meeting, May 28-30, 2018, Jeju, Korea.

  32. Tseng, C. H., Hsieh, C. L., & Kuo, Y. F. (2018) Detecting fish in images with complex background and estimating body length using convolutional neural network. Paper presented at ISMAB2018: the 9th International Symposium on Machinery and Mechatronics for Agriculture and Biosystems Engineering Annual International Meeting, May 28-30, 2018, Jeju, Korea.

  33. Hsu, H. C., Lee, C. H., Yang, C. K., Chu, F. H., Tsai, M. J., & Kuo, Y. F. (2018) Classifying endemic Fagaceae species in Taiwan using leaf images. Paper presented at ISMAB2018: the 9th International Symposium on Machinery and Mechatronics for Agriculture and Biosystems Engineering Annual International Meeting, May 28-30, 2018, Jeju, Korea.

  34. Lu, Y. C., Hsieh, C. L., & Kuo, Y. F. (2018) Automatic fish species identification using convolutional neural networks. Paper presented at ISMAB2018: the 9th International Symposium on Machinery and Mechatronics for Agriculture and Biosystems Engineering Annual International Meeting, May 28-30, 2018, Jeju, Korea.

  35. Han, T. H., & Kuo, Y. F. (2017) Three-dimensional phenotype quantitative system of seeding root. Paper presented at the 2017 American Society of Agricultural and Biological Engineers Annual International Meeting, July 16-19, 2017, Spokane, WA, United States.

  36. Chou, W. C., Hsu, H. C., & Kuo, Y. F. (2017) Studying floral shape variations inn 3D for genus Sinningia. Paper presented at the 2017 American Society of Agricultural and Biological Engineers Annual International Meeting, July 16-19, 2017, Spokane, WA, United States.

  37. Tung, C., Hsieh, C. L., & Kuo, Y. F. (2017) Sea fish identification using convolutional neural network. Paper presented at the 2017 American Society of Agricultural and Biological Engineers Annual International Meeting, July 16-19, 2017, Spokane, WA, United States.

  38. Hsu, H. C., Chou, W. C., & Kuo, Y. F. (2016) Understanding floral shape variation in Sinningia: utilizing a 3D geometric morphometric approach. Paper presented at ISMAB2016: the 8th International Symposium on Machinery and Mechatronics for Agriculture and Biosystems Engineering Annual International Meeting, May 23-25, 2016, Niigata, Japan.

  39. Han, T. H., & Kuo, Y. F. (2016) Three-dimensional image reconstruction system of rice seedling root. Paper presented at ISMAB2016: the 8th International Symposium on Machinery and Mechatronics for Agriculture and Biosystems Engineering Annual International Meeting, May 23-25, 2016, Niigata, Japan.

  40. Tung, C., Lin, C. H., & Kuo, Y. F. (2016) Studying the tidal breathing patterns of obese and non-obese cats. Paper presented at ISMAB2016: the 8th International Symposium on Machinery and Mechatronics for Agriculture and Biosystems Engineering Annual International Meeting, May 23-25, 2016, Niigata, Japan.

  41. Hsu, K. L., Chan, C. Y., Hsu, H. C., Wang, C. N., & Kuo, Y. F. (2016) Quantifying color and texture patterns in flowers of Sinningia speciosa. Paper presented at ISMAB2016: the 8th International Symposium on Machinery and Mechatronics for Agriculture and Biosystems Engineering Annual International Meeting, May 23-25, 2016, Niigata, Japan.

  42. Chou, W. C., Hsu, H. C., & Kuo, Y. F. (2016) Illustrating the ancestor flower shapes of clade Corytholoma in genus Sinningia. Paper presented at ISMAB2016: the 8th International Symposium on Machinery and Mechatronics for Agriculture and Biosystems Engineering Annual International Meeting, May 23-25, 2016, Niigata, Japan.

  43. Liang, C. H., Hsu, H. C., Wang, C. N., & Kuo, Y. F. (2016) Automatic detection of floral lobe contour in 3D image. Paper presented at ISMAB2016: the 8th International Symposium on Machinery and Mechatronics for Agriculture and Biosystems Engineering Annual International Meeting, May 23-25, 2016, Niigata, Japan.

  44. Hung, K. J., Chen, S. Y., Chen, Y. C., Lai, M. H., Chung, C. L. & Kuo, Y. F. (2015). Image based approach to detect Bakanae disease on rice seedlings. Paper presented at the 2015 American Society of Agricultural and Biological Engineers Annual International Meeting, July 26-29, 2015, New Orleans, LA, United States.

  45. Kuo, T. Y., Chen, S. Y., Lin, H. A., Chung, C. L., & Kuo, Y. F. (2015). Identifying rice grains of various cultivars using machine vision. Paper presented at the 2015 American Society of Agricultural and Biological Engineers Annual International Meeting, July 26-29, 2015, New Orleans, LA, United States.

  46. Wang C. C., Hsu, H. C., Wang, C. N., & Kuo, Y. F. (2015). Morphological integration between floral petals for Sinningia speciosa. Paper presented at the 2015 American Society of Agricultural and Biological Engineers Annual International Meeting, July 26-29, 2015, New Orleans, LA, United States.

  47. Chou, T. H., Ho, C. S., & Kuo, Y. F. (2015). QR code detection using convolutional neural networks. Paper presented at the ARIS 2015: 2015 International Conference on Advanced Robotics and Intelligent Systems, May 29-31, 2015, Taipei, Taiwan.

  48. Chen, W. T., & Kuo, Y. F. (2014). Detecting bran residue distribution on rice surface using fluorescence imaging. Paper presented at the 2014 American Society of Agricultural and Biological Engineers Annual International Meeting, July 13-16, 2014, Montreal, Quebec, Canada.

  49. Lee, T. K., Kuo, Y. F., Hsu, H. C., Lin, T. T., & Wang, C. N. (2014). Three-dimensional shape variation analysis on Sinningia speciosa flowers. Paper presented at the 2014 American Society of Agricultural and Biological Engineers Annual International Meeting, July 13-16, 2014, Montreal, QC, Canada.

  50. Chien, C. L., Kuo, Y. F., & Chen, D. R. (2014). Developing a computer aided diagnosis system for classification of malignant breast tumor grade in ultrasound imaging. Paper presented at ISMAB2014: the 7th International Symposium on Machinery and Mechatronics for Agriculture and Biosystems Engineering, May 21-23, 2014, Yilan, Taiwan.

  51. Hsu, P. T., Chen, D., Kuo, Y. F., & Lin, T. T. (2014). Building a robot for the 2013 field robot competition. Paper presented at ISMAB2014: the 7th International Symposium on Machinery and Mechatronics for Agriculture and Biosystems Engineering, May 21-23, 2014, Yilan, Taiwan.

  52. Huang, K. J., Chen, Y. J., Chen, S. Y., Kuo, Y. F., & Chung, C. L. (2014). Classification of foolish seedling disease for rice plants. Paper presented at ISMAB2014: the 7th International Symposium on Machinery and Mechatronics for Agriculture and Biosystems Engineering, May 21-23, 2014, Yilan, Taiwan.

  53. Tsou, Y., Hsu, H. C., Wang, C. C., Kuo, Y. F., Wang, C. N., & Moller, M. (2014). Quantification of floral shape variation in the F2 hybrids of two Streptocarpus species with contrasting pollination syndrome. Paper presented at ISMAB2014: the 7th International Symposium on Machinery and Mechatronics for Agriculture and Biosystems Engineering, May 21-23, 2014, Yilan, Taiwan.

  54. Yeh, Y. H. F., Chung, W. C., Lee, R. S., Liao, J. Y., Chung, C. L., Kuo, Y. F., & Lin, T. T. (2014). Characteristic wavelength selection of hyperspectral images for plants disease analyses. Paper presented at ISMAB2014: the 7th International Symposium on Machinery and Mechatronics for Agriculture and Biosystems Engineering, May 21-23, 2014, Yilan, Taiwan.

  55. Chen, W. T., & Kuo, Y. F. (2013). Measurement of degree of milling for rice using hyperspectral imaging. Paper presented at the 2013 American Society of Agricultural and Biological Engineers Annual International Meeting, July 21-24, 2013, Kansas City, MO, United States.

  56. Kuo, Y. F., Weng, L. K., Lee, T. K., Hsu, H. C., Lin, T. T., & Wang, C. N. (2013). Quantitative evaluation of the floral shape variation in Sinningia speciosa domestication. Paper presented at the 2013 American Society of Agricultural and Biological Engineers Annual International Meeting, July 21-24, 2013, Kansas City, MO, United States.

  57. Thai, C. N., Kuo, Y. F., & Yen, P. L. (2013). Cooperative teaching in a distance education environment. Paper presented at the 120th ASEE Annual Conference and Exposition, June 23-26, 2013, Atlanta, GA, United States.

  58. Yeh, Y. H. F., Chung, W. C., Liao, J. Y., Chung, C. L., Kuo, Y. F., & Lin, T. T. (2013). A comparison of machine learning methods on hyperspectral plant disease assessments. Paper presented at the 2013 IFAC Bio Robotics Conference, March 27-29, 2013, Sakai, Japan.

  59. Kuo, Y. F., Chiu, G. T. C., Kerby, G. H., Trask, J. L., Yih, Y., & Allebach, J. P. (2012). An adaptive model-based approach to reduce calibration frequency while maintaining tone consistency for color electrophotography. Paper presented at NIP28: the 28th International Conference on Digital Printing Technologies, September 9-13, 2012, Quebec City, QC, Canada.

  60. Yang, C. L., Kuo, Y. F., Yih, Y., Chiu, G. T. C., & Allebach, J. P. (2012). Cartridge clustering for improving tone prediction accuracy in calibration for color electrophotography. Paper presented at NIP28: the 28th International Conference on Digital Printing Technologies. September 9-13, 2012, Quebec City, QC, Canada.

  61. Yang, C. L., Hari, Y., & Kuo, Y. F. (2012). Multiple crop scheduling for plant factory. Paper presented at ISMAB2012: the 6th International Symposium on Machinery and Mechatronics for Agriculture and Biosystems Engineering, June 18-20, 2012, Jeonju, Korea.

  62. Wang, C. Y., Chung, W. C., Liao, J. Y., Chung, C. L., Kuo, Y. F., & Lin, T. T. (2012). Strawberry Anthracnose disease assessment using hyperspectral imaging. Paper presented at ISMAB2012: the 6th International Symposium on Machinery and Mechatronics for Agriculture and Biosystems Engineering, June 18-20, 2012, Jeonju, Korea.

  63. Kuo, Y. F., Chiu, G. T. C., Yih, Y., & Allebach, J. P. (2011). Calibration color patch reduction for electrophotography. Paper presented at NIP27: the 27th International Conference on Digital Printing Technologies and Digital Fabrication, October 2-6, 2011, Minneapolis, MN, United States.

  64. Kuo, Y. F., Yang, C. L., Yih, Y., Allebach, J. P., & Chiu, G. T. C. (2009). Improving tone prediction accuracy in calibration for color Electrophotography part II – principal component regression. Paper presented at NIP25: the 25th International Conference on Digital Printing Technologies and Digital Fabrication, September 20-24, 2009, Louisville, KY, United States.

  65. Yang, C. L., Kuo, Y. F., Yih, Y., Chiu, G. T. C., Abramsohn, D., Ashton, G., & Allebach, J. P. (2009). Improving tone prediction accuracy in calibration for color Eelectrophotography part I – environmental and consumable factors. Paper presented at NIP25: the 25th International Conference on Digital Printing Technologies and Digital Fabrication, September 20-24, 2009, Louisville, KY, United States.

  66. Kuo, Y. F., Yang, C. L., Yih, Y., Allebach, J. P., & Chiu, G. T. C. (2009). Modeling of tone deviation during switch on transient for color Electrophotography. Paper presented at NIP25: the 25th International Conference on Digital Printing Technologies and Digital Fabrication, September 20-24, 2009, Louisville, KY, United States.

  67. Kuo, Y. F., Whitaker, D., Chiu, G. T. C., & Alleman. J. E. (2005). System level design and initial equivalent system mass analysis of a solid phase thermophilic aerobic rector for advanced life support systems. Paper presented at ICES 2005: the 35th International Conference on Environmental Systems, July 11-14, 2005, Rome, Italy.

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