High Yield Divination Scheme for Date Palm Based On K-Means and R-Algorithm

Padmanayaki Selvarajan, Saahira banu Ahamed, Rahama Salman, Jayasuriya Panchalingam


Contribution of Agriculture work is most important in fulfills the need of food for human being and animals. The cultivation and harvesting the different crops and expecting more yield in every crop is also significant. Data mining system are playing vital function in forecasting the yield in Agriculture field. K-means algorithm is the simplest partitioning method for clustering analysis and widely used in data mining applications. In this paper, the data mining clustering algorithm and R-Algorithm are utilized to predict Date Palm yields. The experimental results establish the efficiency of proposed high yield prediction in date palm through obtained outcomes.


Agriculture, Clustering, Data Mining, Date palm, High Yield

Full Text:



Abhishek.B. Mankar, Mr. Mayur S. Burange, “Data Mining - An Evolutionary View of Agriculture”, International Journal of Application or Innovation in Engineering & Management (IJAIEM), vol. 3, No. 3, pp. 102-105 , 2014.

Aditya Shastry, H.A Sanjayand E.Bhanushree,“Prediction of crop yield using Regression Technique”, International Journal of computing, Vol. 12, No.2, PP 96-102, 2017.

Antonio Mucherino, Petraq J. Papajorgji, “Data Mining In Agriculture”, Springer Dordrecht Heidelberg London New York , 2009.

Arun.K.Pujari, “Data Mining Techniques”, Universities Press, Private Limited, First Edition, 2001.

Barreveld.W.H., “Date palm products: FAO Agricultural Services” Bulletin No. 10, Rome, Italy, 1993.

Blatter.E. “The palms of British India and Ceylon”, Oxford University Press, London, 1926.

Fatima G.N., R.Geeta, “Agriculture crop pattern using data mining techniques”, International Journal of Advanced Research in in Computer Science and Software Engineering, vol. 4, No. 5, pp 781-786 , 2014.

Fayyad.U, Piatetsky-Shapiro G, Smyth P. From data min¬ing to knowledge discovery in databases. AI magazine, Vol. 17, No. 3, pp 37–54, 1996.

Gupta.G.K., “Introduction to Data Mining with case studies”, PHI Pvt. Ltd., Third printing, 2009.

Hetal Patel and Dharmendra Patel , “A Comparative Study on Various Data Mining Algorithms with Special Reference to Crop Yield Prediction”, Indian Journal of Science and Technology, Vol. 9, No. 22, pp 1-8, 2016.

Ian.H. Witten and Eibe Frank, “Data Mining: Practical Machine Learning Tools and Techniques”, Second Edition, Morgan Kaufmann, 2005.

Jain.A.K. and R.C.Dubes, “Algorithms for Clustering Data”, Englewood Cliffs, N.J.: Prentice Hall, 1988.

Jain.A.K, M.N.Murty, and P.J.Flynn, “Data Clustering: A Review,” ACM Computing Surveys, Vol. 31, No. 3, pp 264-323, 1999.

Jiang.S.Y., X.Li, and Q.Zheng, “Principles and Practice of Data Mining”, Publishing House of Electronics Industry, Beijing, China, 2011.

Jiawei Han, Micheline Kamber, and Jian Pei, “Data Mining:Concepts and Techniques”, 3rd Edition, Morgan Kaufmann, 2011.

Joseph Adler, “R in a Nutshell”, O’Reilly Media, 2010.

Jure Leskovec , Anand Rajaraman, Jeffrey D. Ullman, “Mining of Massive Datasets”, 2010.

Kalpana.R, N.Shanti and S.Arumugam ,“A survey on data mining techniques in Agriculture”,International Journal of advances in Computer Science and Technology, vol. 3, No. 8, pp 426- 431, 2014.

Manjula.E, S.Djodiltachoumy,“A Model for Prediction of Crop Yield”, International Journal of Computational Intelligence and Informatics, Vol. 6: No. 4, pp298-305, 2017.

Medar.R, V.Rajpurohit, “A survey on data mining techniques for crop yield prediction”, International Journal of Advance Research in Computer Science and Management Studies, vol. 2, no. 9, pp. 59-64, 2014.

NYURD. “New York University Abu Dhabi maps date palm genome”, www.thenational.ae , April 16, 2014.

Priya.P, U.Muthaiah and M.Balamurugan, “Predicting Yield of The Crop Using Machine Learning Algorithm”, International Journal of Engineering Sciences & Research Technology, 7(4), pp 1-7, 2018.

Ramesh.D and B. Vardhan, “Analysis of crop yield prediction using data mining techniques”, International Journal of Research in Engineering and Technology, vol. 4, no.1, pp. 47-473, 2015.

Raorane.A.A. and R.V.Kulkarni, “Data Mining-An effective tool for yield estimation in the agricultural sector”, International Journal of Engineering Trends and Technology, vol. 1, No.2, pp. 75-79, 2012.

Sanderson.G., “Natural history of date palm Phoenix dactylifera”, Phoenix dactylifera.enhg.4t.com, 2001.

Shah J.J., “Date palm cultivation in India: An overview of activities”, Emir. J. Food Agric., Vol.26, No. 11, pp 987-999, 2014.

Smola.A and S.V.N.Vishwanathan, “Introduction to Machine Learning”,2008.

Sri Preethaa.K.R., S.Nishanthini, D.SanthiyaK.Vani Shree ,“Crop Yield Prediction”, International Journal On Engineering Technology and Sciences, Volume 3, No. 3, pp 111-116, 2016.

Srivashtav.V. S., C. V. Kapadia, M. K. Mahatma, S. K. Jha, S. Jha and T. Ahmad., “Genetic diversity analysis of date palm (Phoenix dactylifera) in the Kutch region of India using RAPD and ISSR markers”, Emir. J. Food Agric. , Vol. 25, No. 11, pp 907-915, 2013.

Vij.V.K., S. K. Thatal and P. K. Monga. “Evaluation of date palm cultivars in arid irrigated region of Punjab”, Proceedings of International conference on Mango and Date Palm Culture, pp188-194, 2005.

Yetheraj.N.J , “Applying data mining techniques in the field of agriculture and allied sciences”, International Journal of Business Intelligent, vol.1, No. 2, pp. 72-76 , 2012.

Zaid.A. and P.F.De Wet., “Date palm cultivation, Plant Production and Protection”, Paper 156 , FAO. Rome, Italy, 2002.

DOI: http://dx.doi.org/10.52155/ijpsat.v30.1.3896


  • There are currently no refbacks.

Copyright (c) 2022 Saahira banu Ahamed Maricar

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