Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Clustering Based Crop Diversification Model Using K-Means Algorithm in Indian Punjab Region

Author : RadhikaSethi 1 Sikander Singh Cheema 2

Date of Publication :30th April 2018

Abstract: A major area of research in Indian Punjab is in crop diversification. Crop Diversification means cropping system to agricultural production on same farm to increase biological stability of the farm. Then present studies and attempt to focus on the systematic review of the literature about the crop diversification and role of clustering in crop diversification. The finding showed that clustering provide better crop diversification. We will also consider possible future work to provide different clustering techniques to gain most of the knowledge in crop diversification.

Reference :

    1. R. D. Singh, Shivani, A. R. Khan & N. Chandra(2012) , Sustainable productivity & profitability of diversified rice-based cropping system in an irrigated ecosystem, Archives of Agronomy and Soil Science, Vol. 58, No. 8, 859-869.
    2. Nivedita Sharma, S.P Singh (2014), Agriculture Diversification in Indian Punjab: An Assessment of Government Intervention through Contract Farming, Journal of Agriculture & Food Information, 191-213.
    3. J.G. Lauren, R. Shreshta, M.A Sattar and R.L. Yadav (2008), Legumes and Diversification of the Rice-Wheat Cropping System, Journal of Crop Production, 3:2, 67- 102.
    4. Louis Mahy, B.E.T.I. Dupeux, G.V. Huylenbroeck, JeroenBuysse (2015), Simulating farm level response to crop diversification policy, Land Use policy, 36-42.
    5. Parneetkaur, Sikander Singh Cheema (2017), Crop Simulation Model for Malwa Region Punjab, International Journal of Advanced Research in Computer Science, Vol.8, No.7, 172-175.
    6. B. Khoshnevisan, E. Bolandnazar, S. Barak, S. Samshirband ,H. Maghsoudlou, Torki A. Altameen, A. Gani (2015), A clustering model based on anevolutionary algorithm for better energy use in crop production, 1921- 1935.

Recent Article