A Field Mapping System to Distinguish Clover Stocks from Grass Thicket Using a Texture Analysis Method

نویسندگان

  • Hitoshi Tamura
  • Oichi Atoda
  • Kensi Sakai
چکیده

A machine-vision method applicable to precision farming for environmental friendly agriculture is proposed which distinguish which of clover and gramineous weeds is dominant, within a section of 30cm square. Pictures of vegetated ground are treated as random textures and micro-shape based feature extraction method is applied. As many as 98are correctly classified.

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تاریخ انتشار 2000