Online ISSN- 2457-0818

Journal of Research in Computer Science and Engineering

The Journal of Research in Computer Science and Engineering is a tri-annual peer reviewed journal that presents papers on theory and design of computational systems. Computer science and engineering involves integration of many disciplines, including software design, information technology, electronics and electrical engineering, and more. It is a dynamic field of engineering where engineers are constantly involved in development of hardware and software systems to integrate them into bigger scheme of things. 
We invite research authors to submit papers on the topics given below, or suggest some relevant topics on which papers can be included in this journal and submit papers on the same.

  • Theory of computation
  • Foundations of Computer Systems
  • Computer architecture and organization
  • Electronics
  • Computer Networks
  • Software Engineering
  • Database systems
  • Operating systems
  • Website Design and Java Programming
  • E-commerce
  • ERP
  • Multimedia Applications
  • Compiler Design
  • Principles of Programming Languages

Vol 3, No 3 (2018): A Predictive Approach of Crop Disease Analysis Using Machine Learning

Author:-V.B. Ingale

Abstract:-Machine learning is becoming a very useful technology now days and surely with the help of some basic knowledge you can be able to make a great use of this. Machine learning putting a step in the image processing as image processing becomes possible in artificial intelligence. Machines are now better able to identify patterns than ever there are so many things that can cause different diseases to the plants, which damaged big crop fields and ultimately the economy of the country is affected. If plants diseases are detected on the early basis and prevented accordingly, then big losses can be avoided. So to strengthen the agricultural fields and the economy of the country, rapid and accurate detection of plants diseases is needed the ability of disease diagnosis in earlier stage is very essential so that timely cure and control of such disease leads to decreasing dissatisfactory products. Timely recognition is useful for taking disease control measures; it lies on the visual identification by the agricultural technicians and requires high professional knowledge and many professional as well as technical personnel. There is heterogeneity of characteristics of plant diseases and usage of many image processing and computer vision techniques for plant diagnosis problems. To save time, efforts, labors and use of heavy pesticides there is a need of fast and accurate diseases detection of plants. For better quality and quantity of crops in agricultural fields different techniques are proposed by different researchers with the help of digital image processing for rapid and accurate plants disease identification

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