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A SMART APPROACH TO HARVEST DATE FORECASTING

机译:一种智能的日期预测方法

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The concept of grape ripeness depends not only on the degree of enrichment of the chemical compounds in the grape and the volume of the berries, but also on the possible production purposes. The different types of maturation in individual cases are not sufficient for the decision on the harvest date. Taken together, however, they define oenological maturation times and help to harvest them. However, there are no consistent studies that correlate the chemical parameters obtained from must analysis and oenological maturation due to the non-linearity of these two types of variables. Therefore, this work seeks to create a self-explanatory model that allows for the prediction of ideal harvest time, based on eneological parameters related to practices in new developments in knowledge acquisition and management in relational databases.
机译:葡萄成熟度的概念不仅取决于葡萄中化学化合物的富集程度和浆果的体积,还取决于可能的生产目的。在个别情况下,不同类型的成熟度不足以决定收获日期。但是,它们共同定义了酿酒学的成熟时间,并有助于收获时间。但是,由于这两种类型的变量的非线性,因此没有一致的研究将必须分析和酿酒工艺成熟度获得的化学参数相关联。因此,这项工作力求创建一个自解释模型,该模型基于与关系数据库中知识获取和管理新发展中的实践相关的意识形态参数,来预测理想的收获时间。

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