Due to drastic climatic changes and scarcity of water, the need for proper and sustainable irrigation methods is of high demand. The water demand for plants varies from place to place with the changes in soil content, texture, climatic factors and so on. The plants need to be irrigated according to their water requirements at that climatic conditions. As like as the water requirements, plant diseases are also a factor that keeps the plants not growing properly. Also, a variety of plant leaf diseases have also been detected nowadays. In this paper, a novel smart irrigation system has been proposed which can control the irrigation automatically using an android mobile application. Apart from this, the photos of plant leaves are captured and are sent to the cloud server, which is further processed and compared with the diseased plant leaf images in the cloud database. Based on the comparison a list of plant diseases suspected are given to the user via the android mobile application.


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    Titel :

    Cloud based automated irrigation and plant leaf disease detection system using an android application


    Beteiligte:
    Ranjith, (Autor:in) / Anas, Saheer (Autor:in) / Badhusha, Ibrahim (Autor:in) / Ot, Zaheema (Autor:in) / Faseela, K (Autor:in) / Shelly, Minnuja (Autor:in)


    Erscheinungsdatum :

    2017-04-01


    Format / Umfang :

    297587 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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