Crop modelling: Current status and opportunities to advance
Crop modelling: Current status and opportunities to advance
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作物建模：现状和发展机遇
DOI：
10.17660/actahortic.1998.456.1
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发表时间：
1998
期刊：
影响因子：
--
通讯作者：
G. Hammer
中科院分区：
文献类型：
--
作者：
G. Hammer
系统方法是应对农业系统管理人员面临的复杂挑战的适当手段。作物模型可在系统方法中发挥重要作用，为情景分析提供强大的能力。作物模型在过去30年中得到了广泛的发展，现在有各种各样的作物模型。然而，有人认为，在作物建模中区分和区分所谓的“科学”和“工程”挑战和方法的趋势限制了建模的成熟。人们认为，有效的作物建模必须结合联合收割机的科学方法，以提高认识与应用方向，以保持对预测和解决问题的重点。有效作物建模的主要问题被视为如何实现简单性和复杂性之间的适当平衡，结合生物学，物理学和预测要求，为每个特定的任务。避免不必要的复杂性和保持透明度被视为指导原则。
Systems approaches are an appropriate means to meet the complex challenges facing managers of agricultural systems. Crop modelling can play a significant part in systems approaches by providing a powerful capability for scenario analyses. Crop modelling has developed extensively over the past 30 years and a diverse range of crop models are now available. It is argued, however, that the tendency to distinguish between, and separate, the so-called "scientific" and "engineering" challenges and approaches in crop modelling has constrained the maturation of modelling. It is considered that effective crop modelling must combine a scientific approach to enhance understanding with an applications orientation to retain a focus on prediction and problem-solving. The major issue in effective crop modelling is seen as how to achieve the appropriate balance between simplicity and complexity in combining the biology, physics, and prediction requirements for each specific task. Avoidance of unnecessary complexity and maintenance of transparency are considered as guiding principles.