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Paper Details
Paper Title
Automatic detection of fruit diseases: A Review
Authors
Rupam Thakur, Priyanka Mehta
Abstract
Automatic detection of fruit diseases is of great significance to automatically detect the symptoms of diseases as early as they appear on the growing fruits. The various types of diseases on fruits determine the quality, quantity, and stability of yield. The main goal is to monitor diseases on fruits and suggest better solution for healthy yield and productivity with the help of Artificial Neural Network concept. System uses two image databases, one for training of already stored infected area image and other for execution of query images.
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Publication Details
Unique Identification Number - IJEDR1703125Page Number(s) - 882-885Pubished in - Volume 5 | Issue 3 | September 2017DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Rupam Thakur, Priyanka Mehta, "Automatic detection of fruit diseases: A Review", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 3, pp.882-885, September 2017, Available at :http://www.ijedr.org/papers/IJEDR1703125.pdf
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