India is the second-largest producer of rice, wheat, sugarcane, groundnuts, vegetables, fruits, and cotton in the world. Plant diseases are the leading cause of crop loss. Farmers can boost their productivity by being aware of the state of their vegetable's health. Because of the food we eat daily, many people in our country suffer from chronic ailments due to the high dose of pesticides that not only kill insects but are also present in the vegetables, fruit or green leaves, and therefore indirectly becomes a gradual poisoning for the humans. The model Inception V3 is suggested. The original model relies on categorization convolutional neural networks that have been retrained using the transfer method.


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    Titel :

    Crop Disease Recognition in Smart Farming Using Deep learning Model


    Beteiligte:


    Erscheinungsdatum :

    2021-12-02


    Format / Umfang :

    539542 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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