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  | 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
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
How to Share this Article?
Similar Articles with Keyword 'digital'
Comparative Analysis of Fake News Detection Using Different Methodologies
Vandana .A | Dr. Clara Shanthi .D
Build Digital Enterprises with the Power of APIs
Venkata Reddy P S | Ramapavani Poruri