Pine Apple Expert Advisory System: A Web Based Application to Guide Farmers

AUTHORS

R. Dharani,Department of Computer Science and Engineering, Vignan’s Institute of Information Technology, Visakhapatnam-530049, India
Debnath Bhattacharyya,

ABSTRACT

The present paper manages the advancement of master frameworks utilizing machine learning calculation systems to counsel the agriculturists through online in towns. An Expert System can be characterized as a PC program imagined mimicking a few types of human thinking and competent to deal with a vital amount of specific information. A framework that utilizations human learning caught in a PC to tackle issues that customarily require human aptitude. One of the significant capacities of human is the way toward learning. A lot of logical exertion has keep running into the examination, what behind this capacity is. Yet, up to this point there is no one of a kind meaning of learning and we are simply starting to see, how learning works. Learning comprises of recollecting, the capacity of joining Well-well established realities and the acknowledgment of examples. The human learning process is significantly more perplexing as here portrayed, however it is great beginning stage to consider this issue. On the off chance that we could compose a program, which has an indistinguishable capacity to gain from a human, we would approach the fantasy of some well known sci-fi essayists. These days we are far from this, yet calculation for unique issues has been attacked. Furthermore, with the innovative work of such calculation the comprehension of the human capacity of learning may make strides. C4.5 assembles choice trees from an arrangement of preparing information similarly as ID3, utilizing the idea of data entropy. This framework is basically gone for recognizing the maladies and ailment administration in Pine Apple leafy foods, Apple plants to prompt the agriculturists through online in the towns to acquire institutionalized yields. The present warning framework is outlined by utilizing JSP as front end and MYSQL as backend.

 

KEYWORDS

ABC Algorithm, Expert Systems, Machine Learning, diseases in pine apple, Pine Apple Crop.

REFERENCES

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CITATION

  • APA:
    Dharani,R.& Bhattacharyya,D.(2019). Pine Apple Expert Advisory System: A Web Based Application to Guide Farmers. International Journal of Computer Science and Information Technology for Education, 4(1), 1-10. 10.21742/IJCSITE.2019.4.1.01
  • Harvard:
    Dharani,R., Bhattacharyya,D.(2019). "Pine Apple Expert Advisory System: A Web Based Application to Guide Farmers". International Journal of Computer Science and Information Technology for Education, 4(1), pp.1-10. doi:10.21742/IJCSITE.2019.4.1.01
  • IEEE:
    [1] R.Dharani, D.Bhattacharyya, "Pine Apple Expert Advisory System: A Web Based Application to Guide Farmers". International Journal of Computer Science and Information Technology for Education, vol.4, no.1, pp.1-10, May. 2019
  • MLA:
    Dharani R. and Bhattacharyya Debnath. "Pine Apple Expert Advisory System: A Web Based Application to Guide Farmers". International Journal of Computer Science and Information Technology for Education, vol.4, no.1, May. 2019, pp.1-10, doi:10.21742/IJCSITE.2019.4.1.01

ISSUE INFO

  • Volume 4, No. 1, 2019
  • ISSN(p):2205-8370
  • ISSN(e):2207-5372
  • Published:May. 2019

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