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Rural Digital Europe

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Rural Digital Europe

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226 research outcomes, page 1 of 23
  • publication . Conference object . Article . 2009
    Open Access English
    Authors:
    Andujar, D.; Ribeiro, A.; Fernandez-Quintanilla, C.; José Dorado;
    Persistent Identifiers
    Publisher: Springer
    Country: Spain

    Weed spatial distribution was measured with a ground-based weed mapping system. The system consists of three different components: i) weed detection by optoelectronic sensors; ii) weed geopositioning by DGPS receiver; and iii) a data acquisition and processing system. T...

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  • publication . Conference object . 2021
    Authors:
    F. Abdelghafour; F. Rancon; S. Liu; Julien Champ; V. De Rudnicki; C. Guizard; Hervé Goëau; C. Doussan; Alexis Joly; Pierre Bonnet; ...
    Persistent Identifiers
    Publisher: Wageningen Academic Publishers
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  • publication . Part of book or chapter of book . 2015
    Authors:
    J.V. Benlloch; A. Sanchez; M. Agusti; P. Albertos;
    Persistent Identifiers
    Publisher: American Society of Agronomy, Crop Science Society of America, Soil Science Society of America
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  • publication . Article . Conference object . 2013
    Open Access
    Authors:
    Andújar, D.; Moreno, H.; Valero, C.; Roland Gerhards; Griepentrog, H. W.;
    Persistent Identifiers
    Country: Spain

    In this paper, we propose a new approach for discriminating maize and weed plants from soil surface, evaluating the accuracy and performance of a LiDAR sensor for vegetation detection using distance and reflection values. Field measurements were conducted in a maize fie...

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  • publication . Conference object . 2007
    Closed Access
    Authors:
    Nieuwenhuizen, A. T.; Hofstee, J. W.; van Henten E.J.;
    Country: Netherlands
  • publication . Article . 2021
    Open Access English
    Authors:
    Singh, Kanwaljeet; Rawat, Renushri; Ashu, Akansha;
    Publisher: RESAIM

    Artificial Intelligence, specifically deep learning, is a fast-growing research field today. One of its various applications is object recognition, making use of computer vision. The combination of these two technologies leads to the purpose of this thesis. In this proj...

  • publication . Article . 2021
    Closed Access
    Authors:
    Boyu Ying; Yuancheng Xu; Shuai Zhang; Yinggang Shi; Li Liu;
    Persistent Identifiers
    Publisher: International Information and Engineering Technology Association

    The accurate weed detection is the premise for precision prevention and control of weeds in fields. Machine vision offers an effective means to detect weeds accurately. For precision detection of various weeds in carrot fields, this paper improves You Only Look Once v4 ...

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  • publication . Article . 2007
    Open Access English
    Authors:
    Imran Ahmed; Muhammad Islam; Syed Inayat Ali Shah; Awais Adnan;
    Publisher: Zenodo

    {"references": ["ISBN 0-7167-1031-5 Janick, Jules. Horticultural Science. San Francisco:\nW.H. Freeman, 1979. Page 308.", "B. L. Steward And L. F. Tian, \"Real-Time Weed Detection In Outdoor\nField Conditions,\" In Proc. Spie Vol. 3543, Precision Agriculture And\nBiolog...

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  • publication . Part of book or chapter of book . 2015
    Authors:
    Filip Feyaerts; P. Pollet; L. Van Gool; Patrick Wambacq;
    Persistent Identifiers
    Publisher: American Society of Agronomy, Crop Science Society of America, Soil Science Society of America
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  • publication . 2007
    English
    Persistent Identifiers
    Publisher: Argentina : Editorial Martin
    Country: Australia
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226 research outcomes, page 1 of 23