LEAF DISEASE DETECTION USING IMAGE PROCESSING BY CNN
DOI:
https://doi.org/10.17605/OSF.IO/YX7W8Abstract
The disease identification on the plant by the old method of checking and observing diseases in plants is through only visualization which is not so suitable in detecting the diseases associated with plants. This identification of the disease is done by manual observation and pathogen detection which is more time consuming and somehow costly with a lower accuracy. The aim is to identify and classify the disease accurately from the leaf images. The steps required in the process are Image Pre- processing, Segmentation,Feature Extraction and Identification. The disease considered are bacterial, viral fungal or disease by insects and by weather. Here, we are going to detect the disease of plant leaf. So there is a better option which is fast and accurate detection by using image processing techniques which can be more reliable than some other old traditional techniques.
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