首页> 外国专利> DETECTION OF PLANT DISEASES WITH MULTI-STAGE, MULTI-SCALE DEEP LEARNING

DETECTION OF PLANT DISEASES WITH MULTI-STAGE, MULTI-SCALE DEEP LEARNING

机译:通过多阶段,多规模的深度学习来检测植物疾病

摘要

In some embodiments, a computer-implemented method is disclosed. The method comprises obtaining a first digital model for classifying an image into a class of a first set of classes corresponding to a first plurality of plant diseases, a healthy condition, or a combination of a second plurality of plant diseases; obtaining a second digital model for classifying an image into a class of a second set of classes corresponding to the second plurality of plant diseases; receiving a new image from a user device; applying the first digital model to a plurality of first regions within the new image to obtain a plurality of classifications; applying the second digital model to one or more second regions, each corresponding to a combination of multiple first regions of the plurality of first regions, to obtain one or more classifications, the multiple first regions being classified into the class corresponding to the combination of the second plurality of plant diseases; transmitting classification data related to the plurality of classifications into a class corresponding to one of the first plurality of plant diseases or the healthy condition and the one or more classifications to the user device.
机译:在一些实施例中,公开了一种计算机实现的方法。该方法包括获得第一数字模型,该第一数字模型用于将图像分类为与第一多种植物疾病,健康状况或第二多种植物疾病的组合相对应的第一组类别的类别;获得用于将图像分类为与第二种多种植物病害相对应的第二组类别的第二数字模型;从用户设备接收新图像;将第一数字模型应用于新图像内的多个第一区域,以获得多个分类;将第二数字模型应用于一个或多个第二区域,每个第二区域对应于多个第一区域中多个第一区域的组合,以获得一个或多个分类,将多个第一区域分类为与多个第一区域的组合对应的类别第二种植物病;将与所述多个分类有关的分类数据发送到与所述第一多种植物病害或健康状况之一以及一个或多个分类相对应的类别中。

著录项

  • 公开/公告号US2020342273A1

    专利类型

  • 公开/公告日2020-10-29

    原文格式PDF

  • 申请/专利权人 THE CLIMATE CORPORATION;

    申请/专利号US202016928857

  • 发明设计人 YICHUAN GUI;WEI GUAN;

    申请日2020-07-14

  • 分类号G06K9/62;G06N3/08;G06N3/04;G06T7;G06T3/40;

  • 国家 US

  • 入库时间 2022-08-21 11:22:52

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