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首页> 外文期刊>Acta Horticulturae >Graphical tracking systems revisited: a practical approach to computer scheduling in horticulture.
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Graphical tracking systems revisited: a practical approach to computer scheduling in horticulture.

机译：再谈图形跟踪系统：园艺中计算机调度的实用方法。

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摘要

Graphical tracking is a technique for crop scheduling where the actual plant state is plotted against an ideal target curve which encapsulates all crop and environmental characteristics. Management decisions are made on the basis of the position of the actual crop against the ideal position. Due to the simplicity of the approach it is possible for graphical tracks to be developed on site without the requirement for controlled experimentation. Growth models and graphical tracks are discussed, and an implementation of the Richards curve for graphical tracking described. In many cases, the more intuitively desirable growth models perform suboptimally due to problems with the specification of starting conditions, environmental factors outside the scope of the original model and the introduction of new cultivars. Accurate specification for a biological model requires detailed and usually costly study, and as such is not adaptable to a changing cultivar range and changing cultivation techniques. Fitting of a new graphical track for a new cultivar can be conducted on site and improved over subsequent seasons. Graphical tracking emphasises the current position relative to the objective, and as such does not require the time consuming or system specific input of an environmental history, although it does require detailed crop measurement. The approach is flexible and could be applied to a variety of specification metrics, with digital imaging providing a route for added value. For decision making regarding crop manipulation from the observed current state, there is a role for simple predictive modelling over the short term to indicate the short term consequences of crop manipulation.
机译：图形跟踪是一种用于作物调度的技术，其中将实际植物状态与理想目标曲线相对应，该理想目标曲线封装了所有作物和环境特征。根据实际作物的生长位置与理想位置进行管理决策。由于该方法的简便性，可以在现场开发图形轨迹，而无需进行受控实验。讨论了增长模型和图形轨迹，并描述了用于图形跟踪的Richards曲线的实现。在许多情况下，由于起始条件的指定，原始模型范围之外的环境因素以及新品种的引入等问题，更直观的理想生长模型表现欠佳。要对生物学模型进行准确规范，需要进行详细且通常耗费大量成本的研究，因此，该技术不适应变化的品种范围和变化的培养技术。可以在现场进行适合新品种的新图形轨道的拟合，并在随后的季节中进行改进。图形跟踪强调相对于目标的当前位置，因此虽然需要详细的农作物测量，但不需要耗时或特定于系统的环境历史记录输入。该方法非常灵活，可以应用于各种规格指标，而数字成像则为增加价值提供了途径。为了从观察到的当前状态做出有关作物操作的决策，在短期内通过简单的预测模型来指示作物操作的短期后果是有作用的。

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