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Abstract
Agrarian sector in India is facing rigorous issue to augment the crop productivity. More than 60 percent of the crop still depends on monsoon rainfall. Recent developments in Data Innovation for farming field has become an interesting research zone to anticipate the crop yield. The issue of yield expectation is a major issue that remains to be solved based on accessible data. Data Mining strategies are the better choices for this purpose. Diverse Data Mining strategies are utilized also, evaluated in farming for estimating the future year's crop production. This paper presents a brief examination of crop yield expectation utilizing Various Straight Relapse (MLR) system also, Thickness based grouping system for the selected zone i.e. East Godavari zone of Andhra Pradesh in India.
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References
Leigang Shi; Coll. of Agronomy & Biotechnol., China Agric. Univ., Beijing, China; Zaijie Yang; Fu
Chen, “The carbon sequestration capacity in crop production system in North China Plain”,
Published in: Electrical and Control Engineering (ICECE), 2011 International Conference on Date of
Conference: 16-18 Sept. 2011 Page(s): 4697 – 4700.
Jianbing Zhang; State Key Lab. of Remote Sensing Inf., Chinese Acad. of Sci., Beijing, China;
Jinping Li; YePing Zhu, “Integrating crop simulation models with WebGIS for remote crop
production management”, Published in: Geoscience and Remote Sensing Symposium, 2004.
IGARSS '04. Proceedings. 2004 IEEE International (Volume:4) Date of Conference: 20-24 Sept.
Page(s): 2598 - 2600 vol.4.
Paswan, R.P.; Dept. of Comput. Sci., Assam Univ., Silchar, India; Begum, S.A., “ANN for
prediction of Area and Production of Maize crop for Upper Brahmaputra Valley Zone of Assam”,
Published in: Advance Computing Conference (IACC), 2014 IEEE International Date of Conference:
-22 Feb. 2014 Page(s): 1286 – 1295. [4] Chaochao Gao; Dept. of Environ. Sci., Zhejiang Univ., Hangzhou, China, “The impact of climate
change on China's crop production: A CMIP5 ensemble assessment”, Published in: Agro-
Geoinformatics (Agro-Geoinformatics), 2012 First International Conference on Date of Conference
-4 Aug. 2012 Page(s): 1 – 5.
Guo-Qiang Yuan; Fundamental Dept., Hebei Finance Univ., Baoding, China; Yu-hui Liu; Can Cao,
“Fuzzy crop production planning expected value model with credibility constraints”, Published in:
Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
(Volume:1 ) Date of Conference: 26-28 July 2011 Page(s): 30 – 634.
Zagar, M.; Polytech. of Zagreb, Zagreb, Croatia; Poljak, D.M., “Have we been monetized and
become commodity without our consent - Privacy in the time of Big Data technology”, Published in:
Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2015 38th
International Convention on Date of Conference: 25-29 May 2015 Page(s): 1344 – 1349.
Shangyi Chen; Univ. of Chinese Acad. of Sci., Beijing, China; Wei Li; Min Li; Xiaofei Zhang,
“Latest Progress and Infrastructure Innovations of Big Data Technology”, Published in: Cloud
Computing and Big Data (CCBD), 2014 International Conference on Date of Conference: 12-14
Nov. 2014 Page(s): 8 – 15.
Panahiazar, M.; Center for Sci. & Healthcare Delivery, Mayo Clinic, Rochester, MN, USA;
Taslimitehrani, V.; Jadhav, A.; Pathak, J., “Empowering personalized medicine with big data and
semantic web technology: Promises, challenges, and use cases”, Published in: Big Data (Big Data),
IEEE International Conference on Date of Conference: 27-30 Oct. 2014 Page(s): 790 – 795.
Chanmin Park; Kim, Lee & Park Law Offices, Beverly Hills, CA, USA; Taehyung Wang, “Big Data
and NSA Surveillance -- Survey of Technology and Legal Issues”, Published in: Multimedia (ISM),
IEEE International Symposium on Date of Conference: 9-11 Dec. 2013 Page(s): 516 – 517.