Different Soil image classification using Fuzzy Rule Set and data mining
Dr.P.Manikandan
, Dr.N.Vidhya , D.Lalitha
Soil classification; Fuzzy rule set; Data mining algorithms
An innovative method for classification discrete color images, such as map images, graphics, GIS, as well as binary images. In lossless compression techniques, the original image can be entirely recovered from the compressed image. The Soil image captures the environmental image that has the options of soil image like plant options, water particles, and soil patterns. Such models are applied to resolve several issues like agricultural growth. The fuzzy system is a fuzzy logic-based system. In this proposed method, Fuzzy logic provides innovative tools to handle the complex and ill-defined systems where traditional tools become unsuccessful. Fuzzy systems are universal approximates of nonlinear functions. Two aspects are essential in the fuzzy system one generating the best rule set and second tuning the membership functions.
"Different Soil image classification using Fuzzy Rule Set and data mining", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.7, Issue 8, page no.886-891, August-2022, Available :https://ijnrd.org/papers/IJNRD2208094.pdf
Volume 7
Issue 8,
August-2022
Pages : 886-891
Paper Reg. ID: IJNRD_182471
Published Paper Id: IJNRD2208094
Downloads: 000118811
Research Area: Computer Science & Technology
Country: perambalur, tamil nadu, India
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave
