國立臺灣大學生物產業機電工程學系謝廣文陳世銘陳乃菁Hsieh, Kuang-WenKuang-WenHsiehChen, SumingSumingChenChen, Nai-ChinNai-ChinChen2006-09-282018-07-102006-09-282018-07-102001-06http://ntur.lib.ntu.edu.tw//handle/246246/2006092712294863297031. 農業機械學刊第10 卷第2 期2001 年6 月. 育苗環境與甘藍苗品質關係之. 模糊理論 模擬. 謝廣文. 1. ，陳世銘. 2. ，陳乃菁. 3. 1.國立中興大學農業機械工程學系講師. 2. 國立臺灣大學生物產業機電工程學系教授，本文通訊作者The main purpose of this research is to apply the fuzzy theory to analyze the relationship between cabbage seedling quality and growth environmental conditions, including temperature and sunlight radiation. Membership functions and inference rules were constructed based on experts' knowledge and farmers' experiences. The result of simulation (seedling quality) was compared with the score based on the quality evaluation by experts; and themembership functions and inference rules were then modified. The best model developed in this study shows that the root mean square deviation (RMSD) of the seedling quality scores from the fuzzy simulation is 0.71 with the correlation coefficient of 0.86; the RMSD value is much less for the group with better seedling quality (RMSD = 0.54). This research provides sound basis for future study on the control and management of environments for seedling growth.application/pdf957973 bytesapplication/pdfzh-TW育苗環境苗品質模糊理論Nursery environmentsSeedling qualityFuzzy theoryjournal article