Plants are always concerned about the diseases introduced by pathogens For example infections, microorganisms and parasites in the plant bodies. It is globally recognized that, pathogens tends to cause huge yield misfortunes. Various researchers have explored how to diminish the harmfulness of pathogens in plants. A few analysts have explored some opposition qualities in plants and attempts to improve the obstruction of plants to pathogens. Meanwhile, different analysts have created ID and s coring framework for monitoring and examining the advancement or quality and also by anticipating the infection bolstered leaves. The reason for this Review work is to display the use of AI in the revelation of plant opposition.


    Access

    Download


    Export, share and cite



    Title :

    Expression of Concern for: Plant Disease Classification Using SOFT COMPUTING Supervised Machine Learning


    Contributors:


    Publication date :

    2019-06-01


    Size :

    31648 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Expression of Concern for: Glass Damage Classification in Mobile Phones using Deep Learning Techniques

    Selvi, K Tamil / Thamilselvan, R / Pratheksha, K et al. | IEEE | 2021

    Free access

    Expression of Concern for: Prediction of Traffic Flow Propagation Using Machine Learning Algorithms

    Priya, Shristi / Singh, Divyashu / Sharma, Harshit et al. | IEEE | 2022

    Free access

    Geosynchronous Satellite Maneuver Classification via Supervised Machine Learning

    Roberts, Thomas G. | British Library Conference Proceedings | 2021


    Expression of Concern for: Optimized Sentiment Analysis of Hotel Reviews using Machine Learning Algorithms

    Navanith, D / Likhith, Kona / Vardhan, Mandaloju Sai et al. | IEEE | 2022

    Free access