Automated detection of nitrogen deficiency in crop

    公开(公告)号:US10599926B2

    公开(公告)日:2020-03-24

    申请号:US15380471

    申请日:2016-12-15

    IPC分类号: G06K9/00 G06T7/11 G06T7/90

    摘要: Pixel color values representing an image of a portion of a field are received where each pixel color value has a respective position within the image. A processor identifies groups of the received pixel color values as possibly representing a Nitrogen-deficient plant leaf. For each group of pixel color values, the processor converts the pixel color values into feature values that describe a shape and the processor uses the feature values describing the shape to determine whether the group of pixel color values represents a Nitrogen-deficient leaf of a plant. The processor stores in memory an indication that the portion of the field is deficient in Nitrogen based on the groups of pixel color values determined to represent a respective Nitrogen-deficient leaf.

    CROP BIOMETRICS DETECTION
    8.
    发明申请

    公开(公告)号:US20190274257A1

    公开(公告)日:2019-09-12

    申请号:US16296856

    申请日:2019-03-08

    IPC分类号: A01G2/00 G06Q50/02

    摘要: Systems, techniques, and devices for detecting plant biometrics, for example, plants in a crop field. An imaging device of an unmanned vehicle may be used to generate a plurality of images of the plants, and the plurality of images may be used to generate a 3D model of the plants. The 3D model may define locations and orientations of leaves and stems of plants. The 3D model may be used to determine at least one biometric parameter of at least one plant in the crop. Such detection of plant biometrics may facilitate the automation of crop monitoring and treatment.