系所成員

經歷 / 榮譽

學術著作

1. Li, M. Z., and B. J. Kuo. 2010. The evaluation of measurement uncertainty on quantification analysis. Scientific Agriculture, 58(4,5,6)：51-62
2. Lee, C. P., W. S. Lin, Y. M. Chen, and B. J. Kuo. 2011. Gene selection and sample classification on microarray data based on adaptive genetic algorithm/k-nearest neighbor method. Expert Systems with Applications, 38, 4661-4667. SCI
3. Lin, W. C., C. M. Yang, and B. J. Kuo. 2012. Classifying cultivars of rice (Oryza sativa L.) based on corrected canopy reflectance spectra data using the orthogonal projections to latent structures (O-PLS) method. Chemometrics Intelligent Laboratory Systems, 115, 25-36. SCI
4. Lin, W. C., and B. J. Kuo. 2012. Using the orthogonall projections methods for predicting rice (Oryza sativa L.) yield with canopy reflectance data. International Journal of Remote Sensing. SCI.
5. 聶碩成、林汶鑫、郭寶錚.2012.玉米花粉釋放模式之探討.2012. 科學農業 60(1~6)：13-31.
6. 聶碩成、林汶鑫、郭寶錚.2012. 以大氣飄散模式模擬玉米花粉飄散之研究. 科學農業 60(1~6)：32-45.
7. 鍾昀軒、林汶鑫、沈翰祖、郭寶錚.2012. 基改作物之田間取樣技術. 科學農業 60(7~12)：128-142.
8. 王晨宇、林汶鑫、沈翰祖、郭寶錚.2012. 利用去雄改變玉米花粉密度對花粉流動的影響. 科學農業 60(7~12)：143-155.
9. 沈翰祖、郭寶錚.2012. 基因轉殖作物監測體系之研究. 農業生技產業季刊 29：30-38.
10. Lin, W. C., and B. J. Kuo.2012. Using the orthogonall projections methods for predicting rice (Oryza sativa L.) yield with canopy reflectance data. International Journal of Remote Sensing 34, 1428-1448.
11. Lee, C. P., G. J. Shieh, T. J. Yiu & B. J. Kuo. 2013. The strategy to simulate the cross-pollination rate for the co-existence of genetically modified (GM) and non-GM crops by using FPSOSVR. Chemometrics and Intelligent Laboratory Systems, 122, 50-57. SCI.

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