دانلود مقاله انگلیسی رایگان:یک پایگاه داده انگور برای تشخیص زودهنگام و طبقه بندی بیماری esca در تاکستان ها از طریق یادگیری ماشین - 2021
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  • A grapevine leaves dataset for early detection and classification of esca disease in vineyards through machine learning A grapevine leaves dataset for early detection and classification of esca disease in vineyards through machine learning
    A grapevine leaves dataset for early detection and classification of esca disease in vineyards through machine learning

    سال انتشار:

    2021


    عنوان انگلیسی مقاله:

    A grapevine leaves dataset for early detection and classification of esca disease in vineyards through machine learning


    ترجمه فارسی عنوان مقاله:

    یک پایگاه داده انگور برای تشخیص زودهنگام و طبقه بندی بیماری esca در تاکستان ها از طریق یادگیری ماشین


    منبع:

    Sciencedirect - Elsevier - Data in Brief, 35 (2021) 106809: doi:10:1016/j:dib:2021:106809


    نویسنده:

    M. Alessandrini


    چکیده انگلیسی:

    Esca is one of the most common disease that can severely damage grapevine. This disease, if not properly treated in time, is the cause of vegetative stress or death of the attacked plant, with the consequence of losses in production as well as a rising risk of propagation to the closer grapevines. Nowadays, the detection of Esca is carried out manually through visual surveys usually done by agronomists, requiring enormous amount of time. Recently, image processing, computer vision and machine learning methods have been widely adopted for plant diseases classification. These methods can minimize the time spent for anomaly detection ensuring an early detection of Esca disease in grapevine plants that helps in preventing it to spread in the vineyards and in minimizing the financial loss to the wine producers. In this article, an image dataset of grapevine leaves is presented. The dataset holds grapevine leaves images belonging to two classes: unhealthy leaves acquired from plants affected by Esca disease and healthy leaves. The data presented has been collected to be used in a research project jointly developed by the Department of Information Engineering, Polytechnic University of Marche, Ancona, Italy and the STMicroelectronics, Italy, under the cooperation of the Umani Ronchi SPA winery, Osimo, Ancona, Marche, Italy. The dataset could be helpful to researchers who use machine learning and computer vision algorithms to develop applications that help agronomists in early detection of grapevine plant diseases.
    Keywords: Plant diseases recognition | Esca disease | Machine learning | Image dataset | Image classification


    سطح: متوسط
    تعداد صفحات فایل pdf انگلیسی: 9
    حجم فایل: 2689 کیلوبایت

    قیمت: رایگان


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