Earticle

초록

영어

A study was made in those region that expose major area of machine learning techniques which available in data mining. There are lots of Research work is analysized in agriculture field. It is a smart techniques is needed to find the resolution over the modern method. Cotton is an significant beneficial harvest and extensively traded commodity across the world. Its yield is insightful to weather, soil as well as organization practices. This study presents a concise idea of several of the broadly capitalized machine learning technique over agricultural domain. Among the algorithms like Navie bayes, j48 ,MLP,Randomforest,Random tree, I have founded J48 gives better result over the other algorithms using cotton seed quality accuracy is best.

목차

Abstract
 1. Introduction
 2. Development of Cotton Seedling
  2.1. Development of Roots
 3. Motivation
 4. Machine Learning Classifiers
  1. Naïve Bayes:
  2. Decision Tree:
  3. Multilayer Perceptron:
 5. Experiment and Results
 6. Conclusion
 References

키워드

저자

• P. Revathi [ Research Scholar, Karpagam University, Coimbatore, Tamil Nadu, India ]
• Dr.M.Hemalatha [ Head Dept of Software Systems, Karpagam University, Coimbatore, Tamil Nadu, India. ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Advanced Science and Technology

• 간기

  월간

• pISSN

  2005-4238

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605