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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title: Adaptive Neuro-Fuzzy Inference System for Recognition of Cotton Leaf Diseases
Authors Name: Mr. Shanoor M Mayannavar , Prof. S. P. Sangani , S. G. Gollagi , M. G. Huddar , Milind. R. Pawar
Unique Id: IJSDR1608020
Published In: Volume 1 Issue 8, August-2016
Abstract: Image processing fascinated the many researchers in the area of pattern recognition and the image processing techniques are interminably applied to agricultural science, and it has great perspective, particularly in the plant protection field, which ultimately leads to the crop management. The purpose of this notion is to develop and to evaluate Adaptive Neuro-fuzzy Inference System as the methodology to recognize the cotton leaf’s diseases. This project presents automatic system for classification of three cotton leaf’s diseases namely Bacterial Blight, Myrothecium and Alternaria. The k-means algorithm is used for segmentation of images and Color Layout Descriptors is used to extract as features to train the Adaptive Fuzzy Inference System, which is applied to trace out the leaf spots from the of plant leaves, which assists in diagnosing the cotton leaf spot diseases accurately
Keywords: Cotton leaf diseases, Color Layout Descriptors (CLD), k-means clustering, Image segmentation, Zigzag coefficient, Image classification
Cite Article: "Adaptive Neuro-Fuzzy Inference System for Recognition of Cotton Leaf Diseases", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 8, page no.159 - 165, August-2016, Available :http://www.ijsdr.org/papers/IJSDR1608020.pdf
Downloads: 000101773
Publication Details: Published Paper ID: IJSDR1608020
Registration ID:160669
Published In: Volume 1 Issue 8, August-2016
DOI (Digital Object Identifier):
Page No: 159 - 165
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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