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5 research outcomes, page 1 of 1
  • publication . Article . 2020
    Open Access English
    Authors:
    Prakash, Akshay; Pandey, Roysha;

    Farming is the backbone of the Indian economy and it has been unchartered territory for a technological solution. As of late one of the innovations, Artificial Intelligence has paved the way for digital farming. As an important sector, Indian farming has been facing var...

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  • publication . Article . 2021
    Open Access German
    Authors:
    Pohl, Jan-Philip; Jahncke, Daniel; Feise, Dirk; Von Hörsten, Dieter; Wegener, Jens Karl;
    Persistent Identifiers
    Publisher: Eugen Ulmer KG

    Digital Farming ermöglicht Softwaretools, mit denen Prozesse wie z. B. der Pflanzenschutz schon vor der Appli­kation von Pflanzenschutzmitteln (PSM) im Detail geplant und darauf basierend Entscheidungen getroffen werden können. Mit dem entwickelten Assistenzsystem wird ...

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  • publication . Bachelor thesis . 2021
    Open Access English
    Authors:
    Ernfors, Märta;
    Publisher: KTH, Hållbar utveckling, miljövetenskap och teknik

    The food production rate is required to increase in order to meet the ever-increasing world population. At the same time, this needs to be done in a sustainable manner as the agriculture sector today is responsible for a substantial part of the annual carbon dioxide emi...

  • publication . Conference object . 2020
    Open Access English
    Authors:
    Priyamvada Shankar; Nicolas Werner; Sandra Selinger; Ole Janssen;
    Persistent Identifiers
    Publisher: Luleå tekniska universitet, EISLAB

    This paper introduces digital farming solutions offered by xarvio™ and how these solutions contribute towards achieving the United Nations Sustainable Development Goals. By leveraging recent advancements in Artificial Intelligence, farmers can apply crop protection more...

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  • publication . Conference object . 2020
    Open Access
    Authors:
    Priyamvada Shankar; Andreas Johnen; Marcus Liwicki;
    Persistent Identifiers
    Publisher: IEEE

    This paper analyzes the possibility of applying data fusion combined with artificial neural networks (ANN) on a dataset combining hard and soft data for prediction of one of the most devastating crop diseases of winter wheat, i.e., Septoria Tritici (Zymoseptoria tritici...

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5 research outcomes, page 1 of 1