首页> 外国专利> LEVERAGING GENETICS AND FEATURE ENGINEERING TO BOOST PLACEMENT PREDICTABILITY FOR SEED PRODUCT SELECTION AND RECOMMENDATION BY FIELD

LEVERAGING GENETICS AND FEATURE ENGINEERING TO BOOST PLACEMENT PREDICTABILITY FOR SEED PRODUCT SELECTION AND RECOMMENDATION BY FIELD

机译:利用遗传学和特征工程来提高种子产品选择和领域推荐的置换可预测性

摘要

An example computer-implemented method includes receiving agricultural data records comprising a first set of yield properties for a first set of seeds grown in a first set of environments, and receiving genetic feature data related to a second set of seeds. The method further includes generating a second set of yield properties for the second set of seeds associated with a second set of environments by applying a model using the genetic feature data and the agricultural data records. In addition, the method includes determining predicted yield performance for a third set of seeds associated with one or more target environments by applying the second set of yield properties, and generating seed recommendations for the one or more target environments based on the predicted yield performance for the third set of seeds. In the present example, the method also includes causing display, on a display device communicatively coupled to the server computer system, the seed recommendations.
机译:示例计算机实现的方法包括接收农业数据记录,该农业数据记录包括用于在第一组环境中生长的第一组种子的第一组屈服性质,以及接收与第二组种子相关的遗传特征数据。 该方法还包括通过使用遗传特征数据和农业数据记录应用模型来生成与第二组环境相关联的第二组种子的第二组屈服性质。 另外,该方法包括通过应用第二组产量属性来确定与一个或多个目标环境相关联的第三组种子的预测产量性能,并基于预测的产量性能生成用于一个或多个目标环境的种子建议 第三组种子。 在本示例中,该方法还包括在通信地耦合到服务器计算机系统的显示设备上导致显示器,种子推荐。

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