Expert System for Crop Selection

Authors

  • Somnath Devadhe  Department of Computer Engineering, KKWIEER, Nashik, Maharashtra, India
  • Abhijit Kausadikar  Department of Computer Engineering, KKWIEER, Nashik, Maharashtra, India
  • Pratik Daphal  Department of Computer Engineering, KKWIEER, Nashik, Maharashtra, India
  • Akshay Joshi  Department of Computer Engineering, KKWIEER, Nashik, Maharashtra, India

Keywords:

Artificial Intelligence, Visualization, Machine Learning

Abstract

Despite technological advancements, farming sector in India remains un-organized. Agriculture of India needs essential changes with respect to its current social, geographic and economic trends by the combination of practical knowledge gathered over generations and the scientific basis. There is a need to adapt artificial intelligence in agricultural sector due to its promising results in fields ranging from medical science to automated machines. With the help of artificial intelligence, computations on historical data can be performed to predict crop productions. To predict the productivity of crops, this paper demonstrates the use of various machine-learning techniques such as linear regression, decision tree and random forest. Data visualization techniques are used to present region wise patterns of crop productivity using HTML5, AngularJS etc.

References

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International Journal of Scientific Research in Science and Technology

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Published

2017-04-30

Issue

Volume 3, Issue 3, March-April-2017

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Somnath Devadhe, Abhijit Kausadikar, Pratik Daphal, Akshay Joshi, " Expert System for Crop Selection, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 3, Issue 3, pp.436-438, March-April-2017.