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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 6, ISSUE 1, JANUARY 2017

A Survey on the Plant Leaf Disease Detection Techniques

Arpita Patel, Mrs. Barkha Joshi

DOI: 10.17148/IJARCCE.2017.6143

Abstract: Plant disease detection is an interesting field in India a. Plants are the way to live. We are completely dependent on plants from our daily life factors to breathing. So, there should be proper care of plants. Many studies show that quality of agricultural products may be reduced due to various factors. The plant diseases are such as fungi, bacteria, and viruses. The leaf diseases not only restrict the growth of the plant but also destroy its crop. There is the need of some expert to identify plant diseases but manual identification is time consuming. So, some automatic methods required. In this paper, we have presented a survey on the existing methods of plant leaf disease detection.



Keywords: Image Processing, Leaf Disease, Feature Extraction, Disease Identification.

How to Cite:

[1] Arpita Patel, Mrs. Barkha Joshi, “A Survey on the Plant Leaf Disease Detection Techniques,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2017.6143