頁籤選單縮合
題 名 | 作物模式化的意義及展望=The Meanings and Outlook of Crop Modeling |
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作 者 | 呂秀英; | 書刊名 | 臺灣農業 |
卷 期 | 33:3 1997.06[民86.06] |
頁 次 | 頁95-114 |
分類號 | 434.28 |
關鍵詞 | 作物模式化; |
語 文 | 中文(Chinese) |
中文摘要 | 作物模式化是研究作物系統、栽培管理技術及決策分析上的一種潛在有效的工具。作物模式的型態可區分為經驗模式及機制模式兩大類,兩者的作用及效能大不相同。但大多數作物模式則是折衷於嚴謹之機制與實用之經驗間的綜合模式。不同的需求所使用的模式也不盡相同。一個良好的作物模式,必須考量測量與模式化之間、模式成分之間、複雜性及簡單性之間的平衡性。為了使作物模式預測資料庫範圍以外的事件,並能應用於較廣泛的作物管理階層,在模式提出之後,應該選擇在歧異的長期田間環境中進行校正及驗證。隨著電腦之快速發展及廣泛應用,衛星遙測資訊及物件導向程式可有效於作物模式的建構及管理。 |
英文摘要 | Crop models are potentially powerful tools in crop systems research, cultural management technology, and policy decision. Crop models can be divided into two types: empirical models and mechanistic models. The functions and capabilities of them are entirely different. However, many crop models are comprehenvisve models that represent a compromise between rigor of mechanism and utility of empiricism. A good crop model much achieves balance between measuring and modeling, between model components as well as between simplicity and complexity. Different needs use different types of models. Crop models proposed for extrapolation of predictions and broader crop management applications should be calibrated and validated in diverse and long-term field environments. Along with the rapid development and widespread use of computers, remotely sensed information from satellites and object-oriented programming methods are useful for construction and management of crop models. |
本系統中英文摘要資訊取自各篇刊載內容。