Agriculture is a business with risk. Crop creation depends on climatic, geographical, biological, political and monetary factors. Since of these elements there are some risks, which can be quantified when applied fitting mathematical or factual methodologies. Actually precise data about the nature of chronicled yield of crop is vital modelling input, which are helpful to ranchers & Government association for choice making process in establishing proper policies. The advances in computing and data storage hove provided vast at most of data. The challenge has been to extract learning from this crude data; this has led to new strategies and frameworks such as data mining that can bridge the learning of the data to the crop yield estimation. This research aimed to assess these new data mining frameworks and apply them to the different variables consisting in the database to establish if meaningful connections can be found.

Yield Estimation, Data Mining, Relapse Analysis, Crop Cutting Experiments

[1] Wei Wang ; Sch. of Resources & Environ. Sci., Hubei Univ., Wuhan, China ; Quanfang Wang ; Huaying Wu ; Yuanyuan Chen , "Yield estimation of semilate rice using remote sensing data in Honghu city, China", Published in: Agro-Geoinformatics (Agro-Geoinformatics), 2013 Second International Conference on Date of Conference: 12-16 Aug. 2013 Page(s): 135 - 138.
[2] Srinivasan, S.P. ; Fac. of Mech. Eng., Rajalakshmi Eng. Coll., Chennai, India ; "An estimation of jatropha yield as an alternate fuel resource through the concatenated rule sets",Published in: Industrial Engineering and Engineering Management (IE&EM), 2011 IEEE 18Th International Conference on (Volume:Part 3 ) Date of Conference: 3-5 Sept. 2011 Page(s): 2138 - 2142.
[3] Wenpeng Lin ; Dept. of Geogr., Shanghai Normal Univ., Shanghai ; Min Zhao ; Yunlong Liu ; Jun Gao ," Winter wheat yield estimation model with MODIS normalized near-infrared spectral index",Published in: Earth Observation and Remote Sensing Applications, 2008. EORSA 2008. International Workshop on Date of Conference: June 30 2008-July 2 2008 Page(s): 1 - 4.
[4] Yi Zhou ; Inst. of Remote Sensing Applications, Chinese Acad. of Sci., Beijing, China ; Shixin Wang ; Weiqi Zhou ; Jun Yan ," Crop division of yield estimation in China by remote sensing and its characteristics",Published in: Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International (Volume:4 ) Date of Conference: 21-25 July 2003 Page(s): 2245 - 2247 vol.4.
[5] Jie Ren ; Sch. of Econ. & Manage., Wuhan Univ., Wuhan,"Corporate Bond Yield Curve Estimation using Parametric Approach",Published in: Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on Date of Conference: 12-14 Oct. 2008 Page(s): 1 – 4.
[6] Wang, Guoyin ; Inst. of Comput. Sci. & Technol., Chongqing Univ. of Posts & Telecommun., Chongqing ; Jun Hu ; Qinghua Zhang ; Xianquan Liu," Granular computing based data mining in the views of rough set and fuzzy set",Published in: Granular Computing, 2008. GrC 008. IEEE International Conference on Date of Conference: 26-28 Aug. 2008 Page(s): 67.
[7] Jagannathan, G. ; Rutgers Univ., Piscataway ; Wright, R.N., "Seventh IEEE International Conference on Data Mining Workshops - Title",Published in: Data Mining Workshops, 2007. ICDM Workshops 2007. Seventh IEEE International Conference on Date of Conference: 28-31 Oct. 2007 Page(s): i - iii.
[8] Lei Xu ; Dept. of Electron. Eng., Tsinghua Univ., Beijing, China ; Chunxiao Jiang ; Jian Wang ; Jian Yuan , "Information Security in Big Data: Privacy and Data Mining",Published in: Access, IEEE (Volume:2 ) Page(s): 1149 - 1176.
[9] Refonaa, J. ; Dept. of Comput. Sci. & Engineeering, Sathyabama Univ., Chennai, India ; Lakshmi, M. ; Vivek, V.," Analysis and prediction of natural disaster using spatial data mining technique",Published in: Circuit, Power and Computing Technologies (ICCPCT), 2015 International Conference on Date of Conference: 19-20 March 2015 Page(s): 1 - 6.
[10] Shen Bin ; Ningbo Inst. of Technol., Zhejiang Univ., Ningbo, China ; Liu Yuan ; Wang Xiaoyi, "Research on data mining models for the internet of things",Published in: Image Analysis and Signal Processing (IASP), 2010 International Conference on Date of Conference: 9-11 April 2010 Page(s): 127 - 132.
[11] Novak, D. ; Dept. Of Cybern., Czech Tech. Univ. In Prague, Prague, Czech Republic ; Albert, F. ; Spaniel, F.,” Analysis of actigraph parameters for relapse prediction in bipolar disorder: A feasibility study”, Published in: Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE,Date of Conference:26-30 Aug. 2014,Page(s):4972 – 4975.
[12] Exarchos, K.P. ; Dept of Mater. Sci. & Eng., Univ. Of Ioannina, Ioannina, Greece ; Rigas, G. ; Goletsis, Y. ; Fotiadis, D.I.,” Towards building a Dynamic Bayesian Network for monitoring oral cancer progression using time-course gene expression data”, Published in:Information Technology and Applications in Biomedicine (ITAB), 2010 10th IEEE International Conference on Date of Conference:3-5 Nov. 2010,Page(s):1 – 4.
[13] Acciani, G. ; Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Italy ; Bellomo, A. ; Chiarantoni, E. ; Paradiso, A.,” Validation of neural network analysis to predict prognosis in breast cancer patients”, Published in: Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on,Date of Conference:16-18 Aug 1993,Page(s):453 - 456 vol.1.
[14] Aziz, Azizi A. ; Klein, M.C.A. ; Treur, J.,” Modeling an Ambient Agent to Support Depression Relapse Prevention”, Published in:Web Intelligence and Intelligent Agent Technologies, 2009. WI-IAT '09. IEEE/WIC/ACM International Joint Conferences on (Volume:3 ),Date of Conference:15-18 Sept. 2009, Page(s):335 – 340.
[15] Anderson, P.E. ; Dept. Of Comput. Sci., Coll. Of Charleston, Charleston, SC, USA ; Paul, M.R. ; mccaffrey, V.A. ; Wilson, R. ,” Predictive modeling of lung cancer recurrence using alternative splicing events versus differential expression data”, Published in:Computational Intelligence in Bioinformatics and Computational Biology, 2014 IEEE Conference on,Date of Conference:21-24 May 2014,Page(s):1 – 8.