International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064




Downloads: 129

Survey Paper | Computer Engineering | India | Volume 9 Issue 2, February 2020


Identify the Disease for the Crop using Image Processing and Artificial Neural Networks

Madhavi Patil [2] | Gaurav J. Langar | Nikhil Panchal | Purvi Jain


Abstract: In these years we get to know that, agriculture is the main source of national income for most developing countries. Thus, this is one of the important and main reason to be considered for the detection of plant disease, as disease is the main cause of rottening of fruits or vegetables or crops. Thus we can assume that if proper care is not taken regarding this thing then it leads to loss of money, time, quality, quantity, etc. Thus the main motive is to reduce the use of pesticides and thus yield a good crop and increase the production rate. Plant disease can be detected using image processing. Disease detection follows some steps like preprocessing of the image, feature extraction, classification, prediction of classified disease. Thus creating a recognition system can help in evaluating high precision image of the plant for proper cure and further prevention


Keywords: digital image processing, plant pathology, mathematical statistics, image segmentation


Edition: Volume 9 Issue 2, February 2020,


Pages: 1334 - 1336

Identify the Disease for the Crop using Image Processing and Artificial Neural Networks


How to Cite this Article?

Madhavi Patil, Gaurav J. Langar, Nikhil Panchal, Purvi Jain, "Identify the Disease for the Crop using Image Processing and Artificial Neural Networks", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=ART20204509, Volume 9 Issue 2, February 2020, 1334 - 1336, #ijsrnet

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