首页> 外国专利> COMPUTER-IMPLEMENTED METHODS, COMPUTER READABLE MEDIUM AND SYSTEMS FOR A PRECISION AGRICULTURE PLATFORM THAT IDENTIFIES GENERIC ANOMALIES IN CROPS

COMPUTER-IMPLEMENTED METHODS, COMPUTER READABLE MEDIUM AND SYSTEMS FOR A PRECISION AGRICULTURE PLATFORM THAT IDENTIFIES GENERIC ANOMALIES IN CROPS

机译:识别农作物一般异常的精密农业平台的计算机实现方法,计算机可读介质和系统

摘要

A computer platform implements a precision agriculture system that predicts output conditions, such as diseases, salt damage, soil problems, water leaks and generic anomalies, for orchards under analysis. The computer platform stores site and crop datasets and processed satellite image for the orchards. An orchard data learned model predicts a propensity for existence of output conditions associated with the permanent crops based on the data values for the variables of the site and crop datasets. Also, a satellite model predicts a propensity for existence of the output conditions at the orchard based on processed satellite images. A precision agriculture management model is disclosed that integrates the orchard data learned model with the satellite model to accurately predict the output conditions.
机译:一个计算机平台实现了一个精确的农业系统,该系统可以预测正在分析的果园的输出状况,例如疾病,盐害,土壤问题,漏水和一般异常情况。该计算机平台存储果园的站点和作物数据集以及经过处理的卫星图像。果园数据学习模型基于场地和作物数据集变量的数据值,预测与永久作物相关的输出条件的存在可能性。另外,卫星模型基于处理后的卫星图像预测果园中存在输出条件的倾向。公开了一种精确农业管理模型,该模型将果园数据学习模型与卫星模型集成在一起,以准确预测输出条件。

著录项

  • 公开/公告号US2018330269A1

    专利类型

  • 公开/公告日2018-11-15

    原文格式PDF

  • 申请/专利权人 HARRIS LEE COHEN;

    申请/专利号US201715594414

  • 发明设计人 HARRIS LEE COHEN;

    申请日2017-05-12

  • 分类号G06N99;G06N5/04;G06K9;

  • 国家 US

  • 入库时间 2022-08-21 12:06:11

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