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Research Article

Smart Agriculture Using Evana Sensor and Decision Tree Algorithm

G.Rajkumar1 C.Kavitha2
1 Department of Computer Science. Sri Kaliswari College (Autonomous), Sivakasi, Tamilnadu, India. 2 Assistant Professor, Department of Computer Science. Sri Kaliswari College (Autonomous), Sivakasi, Tamilnadu, India.

Published Online: May-June 2022

Pages: 215-216

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References

[1] Sun, B., S.L. Zhou and Q.G. Zhao, ”Evaluation of spatial and temporal analysis in the hill region of subtropical China”. Geoderma, 115: 85-99, 2003.
[2] Atreya, K., S. Sharma, R.M. Bajracharya and N.p. Rajbhandaric, ”Developing a sustainable agro-system.
[3] Wang, Z.M., K.S. Song, B. Zhang, D.W. Liu and X.Y. Li etal., ”Spatial variability and affecting factors of soil nutrients incroplands of Northeast China:A case study in Dehui County. Plant Soil Environ”, 55: 110-120, 2009.
[4] Bouma, J. and P.A. Finke, ”Origin and nature of soil resourcevariability”. In : Soil Specific Crop Management, Robert, P.C.,R.H. Rust and W.F. Larson.American Society of Agronomy,Madison, pp: 3-13, 1993.
[5] Zhang, X.Y., Sui, X.D. Zhang, K. Meng and S.J. Herbert,”Spatial variability of nutrient properties in black soil of Northeast China”. Pedosphere, 17:19-29, 2007.
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[10] XWu and M Liu, ”In-situ soil moisture sensing: measurement scheduling and estimation using compressive sensing”. In Proceedings of the 11th international conference on Information Processing in Sensor Networks (IPSN ’12). ACM, New York, NY, USA, 1-12. DOI=10.1145/2185677.2185s679 http://doi.acm.org/10.1145/2185677.2185679, 2012.

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