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Research Article

Soil Analysis and Crop Fertility Prediction Using Machine Learning

Adrija Shree1 Ekansh Singh2 Ajay Chaudhary3
123Student, CSE, Institute of Technology and Management Gida Gorakhpur, Uttar Pradesh, India.

Published Online: May-June 2022

Pages: 172-174

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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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