Abstract
The detection of plant diseases at early stage can be the best precaution taken by any farmer to avoid great loss. If that work of detecting the plant is made automatic, then it would be the essential topic for discovery. Mainly, plant diseases are caused by fungi, bacteria, and virus. All three affect the plant in different way which can be identified. This feature helps in detecting the particular disease. When it comes to fungi, they can be classified with their morphology that is based on their reproductive structures. Bacteria have the unique property of increasing their number in short duration, the single cell dividing into two and hence multiplying in number, but compared to fungi, they have simple life cycle. Viruses are the smallest particle found. They are made up of proteins and genetic materials. The method for detecting involves five stages, in the first stage, the image is selected through the inputs, the second stage involves processing of image, the third involves dividing the image, the fourth involves finding unique attributes, and final step involves analysis.
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Niveditha, P., Gururaj, H.L., Janhavi, V. (2019). An Analysis of Various Techniques for Leaf Disease Prediction. In: Abraham, A., Dutta, P., Mandal, J., Bhattacharya, A., Dutta, S. (eds) Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol 814. Springer, Singapore. https://doi.org/10.1007/978-981-13-1501-5_19
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DOI: https://doi.org/10.1007/978-981-13-1501-5_19
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