Agriculture is the most important factor in ensuring livelihood. Crop disease growth has recently increased due to catastrophic weather patterns and a dearth of immunogenicity in crops. Machine learningMachine Learning (ML) could be a critical perspective for achieving a realistic and true solution to the crop yield issue. It will assist Indian farmers in predicting crop yield and recommending crops based on environmental conditions. Machine learningMachine Learning and IoT are used in this work to implement crop recommendations, crop yield predictionCrop Yield Prediction, and disease detection using deep learningDeep Learning. The hardware system is intended to collect soil and environmental data from the surrounding environment for crop recommendation and yield. A web applicationWeb/App is developed for all these three applications.


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    Titel :

    A Unified System for Crop Yield Prediction, Crop Recommendation, and Crop Disease Detection


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Sharma, Sanjay (Herausgeber:in) / Subudhi, Bidyadhar (Herausgeber:in) / Sahu, Umesh Kumar (Herausgeber:in) / Varghese, Arpitha (Autor:in) / Mamatha, I. (Autor:in)

    Kongress:

    International Conference on Robotics, Control, Automation and Artificial Intelligence ; 2022 November 24, 2022 - November 26, 2022



    Erscheinungsdatum :

    2023-11-18


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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