Agriculture is the backbone of India. Around 30% of people are living with agriculture as their profession. Leafy vegetables can be harvested throughout the year and this is the reason many farmers show interest in harvesting leafy vegetables. Most of the leafy vegetables get attacked by pests and insects like caterpillars. It is very important to find the diseased leaves earlier to avoid further damage from the insects. It is very difficult to check the diseased leaves manually and takes more time. Research work proposed an automated detection system using back propagation neural network model to identify the initial stage of disease attack which helps to reduce the crop damages. Implementation uses Sobel edge detection and attains an accuracy of 89% which is better than conventional models.


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    Title :

    Enhanced Computerized Classification System of Diseased Leaves


    Contributors:


    Publication date :

    2020-11-05


    Size :

    282612 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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