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Prediction of performance of crop Field during a Season of Growth

机译:生长季节农作物田间表现的预测

摘要

A method of predicting crop yield specific recommendations for the field.A server computer system receives digital Records of Agricultural Data through the Network, including SPECTRAL PROPERTIES detected Remote Mode of Plant Records vEgetales and Soil Moisture. The Computational System adds records to create and store temporal series digital GEO specific and for a specified time.The Computing System Selects Representative characteristics from the time series and creates GEO specific for each Geographic area,A covariate Matrix comprising Representative characteristics.The Computational System assigns a probability value to a group of components into a set of groups of components parametersEach group of components includes regression coefficients calculated from a Probability Distribution.The Computer System generates probability distributions used to determine the regression coefficients.Where the Probability Distribution used to generate the error term is defined with a parameter of the medium is set at zero and a variance parameter that is fixed in a coefficientDeviation of the specific field.
机译:一种针对田间作物产量预测的方法。服务器计算机系统通过网络接收农业数据的数字记录,包括SPECTRAL PROPERTIES检测到的植物记录和土壤水分的远程模式。计算系统添加记录以创建和存储特定于指定时间的时间序列数字GEO。计算系统从时间序列中选择代表性特征,并为每个地理区域创建特定GEO,包括代表性特征的协变量矩阵。计算系统分配将一组组件的概率值转换为一组组件参数组每组组件都包括根据概率分布计算的回归系数。计算机系统生成用于确定回归系数的概率分布。其中,概率分布用于生成误差用将介质的参数设置为零并且将方差参数固定在特定字段的系数偏差中来定义项。

著录项

  • 公开/公告号AR106900A1

    专利类型

  • 公开/公告日2018-02-28

    原文格式PDF

  • 申请/专利权人 THE CLIMATE CORPORATION;

    申请/专利号AR2016P103689

  • 发明设计人 YING XU;LIJUAN XU;

    申请日2016-12-01

  • 分类号G06F19;A01B79;A01C21;G06N7;

  • 国家 AR

  • 入库时间 2022-08-21 12:54:17

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