Open AccessImage processing and Pattern Recognition based Plant Leaf diseases Identification and Classification
Author(s) -
Keerthi Gayatri,
R. Divya Kanti,
V Ch Sekhar Rao Rayavarapu,
Banavar Sridhar,
V. Rama Gowri Bobbili
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1804/1/012160
Subject(s) - identification (biology) , laptop , computer science , cluster analysis , support vector machine , segmentation , artificial intelligence , classifier (uml) , process (computing) , pattern recognition (psychology) , machine learning , biology , botany , operating system
The relationship between plants and folks are long-lasting and continuous one as we know plants are having major priority plants play an awfully necessary role in our lives. We tend to relay on plants for food, medicines, soaps, furniture, textiles, etc., therefore it’s terribly crucial for us to early observe various styles of diseases in plants to induce higher yielding. Identification of those plant diseases by Oculus technique is incredibly troublesome and time overwhelming. If identification is inaccurate then there would be a large loss in crops and economical worth of market. Therefore, to resolve these issues and to induce higher returns, we are able to use Image process techniques Laptop assisted technology continually provides higher accuracy than the manual work. Therefore, during this research, we tend to perform segmentation using k-means clustering and classification of diseases using Support Vector Machine classifier.