A Review on Recent Methods to Detect Leaf Disease Symptoms Using Image Processing
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Research Paper | Computer Science & Engineering | India | Volume 7 Issue 4, April 2018

A Review on Recent Methods to Detect Leaf Disease Symptoms Using Image Processing

Chaitali Pandya, L. K. Sharma

This paper presents a review on methods that use digital image processing systems to identify, evaluate and categorize plant diseases from digital images. In this research, different algorithms for disease spot segmentation using image processing methods in plant leaf are considered. Various techniques ranging from Image Pre-processing and Filtering, Feature Extraction based Classification, ANN, YCbCr Colour extraction and BPNN have been reviewed. The best use is to find out optimum amount of pesticides to be sprayed on crops and leaves to reduce soil contamination from over usage of pesticides, and to preserve the plants from diseases.

Keywords: Image Processing, Leaf Disease, Image Classification, Segmentation

Edition: Volume 7 Issue 4, April 2018

Pages: 1339 - 1341

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How to Cite this Article?

Chaitali Pandya, L. K. Sharma, "A Review on Recent Methods to Detect Leaf Disease Symptoms Using Image Processing", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20181944, Volume 7 Issue 4, April 2018, 1339 - 1341

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