育苗環境與甘藍苗品質關係之模糊理論模擬

Fuzzy simulation of cabbage seedling quality related to nursery environment

謝廣文(Kuang-Wen Hsieh) ； 陳世銘(Suming Chen) ； 陳乃菁(Nai-Chin Chen)

《農業機械學刊》 10卷1~4期 (2001/03) Pp. 31-42

https://doi.org/10.30062/JAM.200103.0003

摘要

本研究主要目的在於應用模糊理論來模擬分析溫室內溫度、光照等環境因子對甘藍種苗品質的影響。將作物栽培專家的經驗與知識轉化為模糊理論所需之歸屬度函數與推理規則，並藉由用模糊推理模擬的結果（苗的品質）與專家的評判結果做比較，以循序修改歸屬度函數，最後所建立之模式所預測的苗品質分數與專家評分的均方根誤差為0.71，相關係數則為0.86；而品質好的苗其效果更好（均方根值誤差為0.54）。本研究結果對模糊理論應用在種苗生長環境的管理與控制之研究而言，是非常重要的先期研究。

關鍵字

育苗環境 ； 苗品質 ； 模糊理論

並列摘要

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 the membership 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 is0.71 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.

並列關鍵字

Nursery environments ； Seedling quality ； Fuzzy theory