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    METHOD AND SYSTEM FOR ESTIMATION OF COVER CROP DURATION AND INTEGRATED COVER CROP INDEX (ICCI)
    4.
    发明公开
    METHOD AND SYSTEM FOR ESTIMATION OF COVER CROP DURATION AND INTEGRATED COVER CROP INDEX (ICCI) 审中-公开

    公开(公告)号：EP4435733A1

    公开(公告)日：2024-09-25

    申请号：EP23217896.2

    申请日：2023-12-19

    申请人： Tata Consultancy Services Limited

    发明人： MOHITE, Jayantrao ,  SAWANT, Suryakant Ashok ,  AGRAWAL, Rishabh ,  PANDIT, Ankur ,  PAPPULA, Srinivasu

    IPC分类号： G06V20/13 ,  G06V20/10

    CPC分类号： G06V20/13 ,  G06V20/188 ,  G06V20/68

    摘要： Precise estimation of duration of cover crop is a challenge considering multiple factors contributing to the same and complexity involved in capturing them in the estimation process. A method and system for estimation of cover crop duration and generating Integrated Cover Crop Index (ICCI) is disclosed. Firstly, the maincrop is identified and associated time series data is eliminated to avoid false positives. Detection of type of cover crop and its exact duration is derived by integrated use of satellite remote sensing data, sensor data, field observations and phenology based indicators. Duration of cover crop is estimated considering the impact of snow cover, dormant period etc., by integrated use of remote sensing and sensor data along with local domain crop knowledge of the region. The ICCI provides quantitative measure for cover crop effort and can be used for incentivizing farmers following sustainable cropping practices.

    REMOTE AERIAL MINEFIELD SURVEY
    6.
    发明公开
    REMOTE AERIAL MINEFIELD SURVEY 审中-公开

    公开(公告)号：EP4425445A1

    公开(公告)日：2024-09-04

    申请号：EP24160818.1

    申请日：2024-03-01

    申请人： RPS Group, Inc.

    发明人： HOUGHTON, Dave ,  RATH, Patrick

    IPC分类号： G06V10/82 ,  G06V20/17 ,  G06V20/10

    CPC分类号： G06V20/194 ,  G06V20/17 ,  G06V10/82

    摘要： A computer implemented method of detecting explosive device comprises receiving (201) image data comprising aerial multispectral data and/or aerial hyperspectral image data (202) covering an area of terrain. The image data may be sampled to provide image samples. The image samples may be preprocessed (203) and input into a model (204) trained to detect a presence or an absence of an explosive device in the image data, wherein the model is a convolutional neural network which automatically outputs (205) a heat map prediction of whether or not an explosive device is present. Output may be provided a user indicating the heat map prediction.

    SYSTEM FOR TRACKING CROP VARIETY IN A CROP FIELD
    9.
    发明公开
    SYSTEM FOR TRACKING CROP VARIETY IN A CROP FIELD 审中-公开

    公开(公告)号：EP4413847A1

    公开(公告)日：2024-08-14

    申请号：EP24154942.7

    申请日：2024-01-31

    申请人： AGCO Corporation

    发明人： KOCH, Jared J. ,  EKHOLM, Joshua

    IPC分类号： A01D41/127 ,  G01N33/00 ,  G06V20/10

    CPC分类号： A01D41/1271 ,  G06V20/188 ,  G01N21/84

    摘要： Described herein are technologies for tracking crop variety in a field while harvesting a crop. In an embodiment, a camera (302 or 304) mounted to a harvester (300) captures images of a crop (600, 700, 800) and a computing system (200) determines characteristics of the crop (702, 704, 706, 708A, 804, 806, 808A) in the images (600, 700, 800) (such as its height, color, and density) (instructions 222). The aforesaid two steps occur continuously as the harvester (300) moves through a field. Also, while the harvester (300) moves through the field, the computing system (200) determines whether the determined characteristics deviate from known characteristics of a first variety of the crop (instructions 222). When the determined characteristics deviate from the know characteristics beyond a threshold, the portion of the images (600, 700, 800) containing the deviating characteristics is labeled as including a second variety of the crop (710) (instructions 222). Also, the images (600, 700, 800) are geotagged (712, 700, 800) and the computing system (200) generates a map (904) of the varieties of the crop based on the labeled and geotagged images (instructions 228).