Detection of Plant Leaf Diseases in Image Prosesssing Using Matlab

Authors

  • Mr.V.Madhava Reddy, K.Hari Krishna, M.Srinivasa Rao, P.V.M Vijaya Bhaskar A.Sirisha

DOI:

https://doi.org/10.17762/msea.v69i1.1651

Abstract

About 70% of India's GDP comes from the agricultural sector. Drastic shifts in weather patterns, both in terms of temperature and precipitation, can have a profound effect on crop production. Phaseolus vulgaris L. is an important food legume crop, relied on by millions of people around the world. There are several diseases affecting it, the most serious of which being anthracnose. Anthracnose is caused by a fungus called Colletotrichum. Camellia asemia is a popular crop used to make non-alcoholic beverages. In reference to (J. W. Mast.) Wight is one of the most frequently grown plants in the world for use in non-alcoholic drinks. When the leaf is infected with the fungus Alternaria alternative, it suffers extensive harm. Farmers can be assisted in early disease identification and control with the use of state-of-the-art computer technologies like image processing used to construct automatic detection systems. As a result, the current research was conducted to automatically detect diseases in the leaves of the plants Phaseolus vulgaris (beans) and Camellia asemia (tea) using image processing techniques. There is a requirement for picture acquisition.

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Published

2023-01-14

How to Cite

A.Sirisha, M. R. K. K. M. R. P. V. B. (2023). Detection of Plant Leaf Diseases in Image Prosesssing Using Matlab. Mathematical Statistician and Engineering Applications, 69(1), 348–355. https://doi.org/10.17762/msea.v69i1.1651

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Section

Articles