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Research Article

Soil Analysis and Crop Fertility Prediction Using Machine Learning

  • Paper ID 390
  • Volume 3, Issue 3
  • Pages 172-174
  • Published Online: May-June 2022
  • 1 Views
Open Access Peer Reviewed

Authors

  • Adrija Shree1
  • Ekansh Singh2
  • Ajay Chaudhary3

123Student, CSE, Institute of Technology and Management Gida Gorakhpur, Uttar Pradesh, India.

Article Information

DOI
No DOI
Published Online
May-June 2022
Pages
172-174
Article Type
Research Article
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No DOI available for cross-reference

References

[1]. Austin, P. C. and Steyerberg, E. W. (2015), ‘The number of subjects per variable required in linear regression analyses’, Journal of clinical epidemiology 68(6), 627–636.
[2]. Bajardi,P.,Barrat,A.,Natale,F.,Savini,L.andColizza,V.(2011),‘Dynamicalpatterns of cattle trade movements’, PloS one 6(5), e19869.
[3]. Bajardi, P., Barrat, A., Savini, L. and Colizza, V. (2012), ‘Optimizing surveillance for livestock disease spreading through animal movements’, Journal of the Royal Society Interface 9(76), 2814–2825.
[4]. Baranyi, J., J´ o´zwiak, A., Varga, L., M´ezes, M., Beczner, J. and Farkas, J. (2013), ‘Application potentials of network science, bioinformatics and systems biology to food science’, Hungarian Science 174(9), 1094–1102.
[5]. Bell, D. A. and Wang, H. (2000), ‘A formalism for relevance and its application in feature subset selection’, Machine learning 41(2), 175–195.
[6]. Bennett, J.D.(2016),Value of map sharing between multiple vehicles in the same field while using automated section control, PhD thesis, Kansas State University.
[7]. Berk, J. and Berk, S. (2000), Quality management for the technology sector, Elsevier.
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