Agricultural Production Optimization

Authors

  • Kavya Gupta  Student, Department of Information Technology, Maharaja Agrasen Instute of Technology, GGSIP University, Delhi, India
  • Nidhi Senger  Faculty, Department of Information Technology, Maharaja Agrasen Instute of Technology, GGSIP University, Delhi, India
  • Vasudha Bahl  
  • Amita Goel  

DOI:

https://doi.org//10.32628/CSEIT228339

Keywords:

Optimize Agricultural Production, Fertilizers

Abstract

A large number of people have attempted to create mathematical models in order to develop and optimize agricultural production; however almost none of them address the factors such as use of fertilizers (N, K, P) and PH of the soil. More use of fertilizers can deteriorate the fertility of soil and can lead to the low production for years to come. In this study a predictive model is formulated that aims to predict the best crop to be grown in available weather conditions and nutrients present in the soil thereby reducing the use of chemicals and taking a step forward towards organic and chemical free agriculture. This model also focuses on the point that there is no need to grow the same crop in same field every time.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2022-06-30

Issue

Volume 8, Issue 3, May-June-2022

Section

Research Articles

License

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

How to Cite

[1]
Kavya Gupta, Nidhi Senger, Vasudha Bahl, Amita Goel, " Agricultural Production Optimization, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 3, pp.135-141, May-June-2022. Available at doi : https://doi.org/10.32628/CSEIT228339