Detection of Plant Leaf Disease Using Image Processing

Authors

  • P. Prabhakaran, P. Raguraman, R. Saran Kumar, V. Vaneesha, K. Venkata Ratnam

DOI:

https://doi.org/10.17762/msea.v68i1.1700

Abstract

There is critical efficiency and monetary harm because of plant infections and the general nature of ranch items are both reduced. Distinguishing plant illnesses has become more significant in the reconnaissance of tremendous fields of yields in the present day. With regards to sickness the board, ranchers struggle with changing starting with one methodology then onto the next. The ordinary strategy for distinguishing and recognizing plant illnesses is proficient unaided eye investigation. In this exploration, we look at the need for a basic method for distinguishing plant leaf illness that would help horticultural developments. Compelling observing strategies might be worked with by early information on crop wellbeing and sickness discovery. Crop yields will ascend because of this technique. Moreover, the benefits and downsides of every one of these imminent methodologies are talked about in this review. Picture catch, picture investigation, extraction of elements, and arrangement in light of brain networks are all important for the cycle.

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Published

2023-01-18

How to Cite

P. Prabhakaran, P. Raguraman, R. Saran Kumar, V. Vaneesha, K. Venkata Ratnam. (2023). Detection of Plant Leaf Disease Using Image Processing. Mathematical Statistician and Engineering Applications, 68(1), 38–45. https://doi.org/10.17762/msea.v68i1.1700

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Articles