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    ARTICLE

    A Novel Framework for Multi-Classification of Guava Disease

    Omar Almutiry1, Muhammad Ayaz2, Tariq Sadad3, Ikram Ullah Lali4, Awais Mahmood1,*, Najam Ul Hassan5, Habib Dhahri1

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 1915-1926, 2021, DOI:10.32604/cmc.2021.017702

    Abstract Guava is one of the most important fruits in Pakistan, and is gradually boosting the economy of Pakistan. Guava production can be interrupted due to different diseases, such as anthracnose, algal spot, fruit fly, styler end rot and canker. These diseases are usually detected and identified by visual observation, thus automatic detection is required to assist formers. In this research, a new technique was created to detect guava plant diseases using image processing techniques and computer vision. An automated system is developed to support farmers to identify major diseases in guava. We collected healthy and unhealthy images of different guava… More >

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