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Data Science and Analytic Technology in Agriculture

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2018
Authors:
Pratik Srichandan, Ashis Kumar Mishra, Harkishen Singh
10.5120/ijca2018916850

Pratik Srichandan, Ashis Kumar Mishra and Harkishen Singh. Data Science and Analytic Technology in Agriculture. International Journal of Computer Applications 179(37):21-28, April 2018. BibTeX

@article{10.5120/ijca2018916850,
	author = {Pratik Srichandan and Ashis Kumar Mishra and Harkishen Singh},
	title = {Data Science and Analytic Technology in Agriculture},
	journal = {International Journal of Computer Applications},
	issue_date = {April 2018},
	volume = {179},
	number = {37},
	month = {Apr},
	year = {2018},
	issn = {0975-8887},
	pages = {21-28},
	numpages = {8},
	url = {http://www.ijcaonline.org/archives/volume179/number37/29283-2018916850},
	doi = {10.5120/ijca2018916850},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

There has been much research and various attempts to apply new Data science & analytics technology to agricultural areas. However, Data science & analytics for the agriculture should be considered differently against the same areas such as industrial, logistics.This paper presents analysis of agricultural production system for stabilizing supply and demand of agricultural products while developing the environment sensors and prediction system for the growth and production amount of crops by gathering its environmental information. Currently, the demand by consumption of agricultural products could be predicted quantitatively, however, the variation of harvest and production by the change of farm's cultivated area, weather change, disease and insect damage etc. could not be predicted, so that the supply and demand of agricultural products has not been controlled properly. To overcome it, this paper designed the Data science & analytics based predictive system to analyze crop environment, and the method to improve the efficiency of decision making by analyzing harvest statistics. Therefore, this paper developed the decision support system to forecast agricultural production using IoT sensors for gathering real time data. This system was also a unified system that supports the processes sowing seeds through selling agricultural products to consumers. The Data analytic-based agricultural production system through correlation analysis between the crop statistical information and agricultural environment information has enhanced the ability of farmers, researchers, and government officials to analyze current conditions and predict future harvest. Additionally, agricultural products quality can be improved because farmers observe whole cycle from seeding to selling using this Data science & analytics based decision support system.

References

  1. International Journal of Emerging Trends in Engineering and Basic Sciences (IJEEBS) ISSN (Online) 2349-6967 Volume 2, Issue 2(Mar-Arp 2015), PP18-22
  2. Vidadala Srija, P. Bala Murali Krishna ,“IMPLEMENTATION OF AGRICULTURAL AUTOMATION SYSTEM USING WEB & GSM TECHNOLOGIES”ISSN 2277-2685 IJESR/Sept. 2015/ Vol-5/Issue-9/1201-1209 Vidadala Srija et.al.,/ International Journal of Engineering & Science Research
  3. Muhammad et al “ Automation of Irrigation System Using ANN based controller” International Journal of Electrical & Computer Sciences IJECS-IJENS Vol:10 No:02 , 104602-5757 IJECS-IJENS © April 2010 IJENS
  4. Prathyusha.K1, G. Sowmya Bala2, Dr. K. Sreenivasa Ravi3 “A REAL – TIME IRRIGATION CONTROL SYSTEM FOR PRECISION AGRICULTURE USING WSN IN INDIAN AGRICULTURAL SECTORS”International Journal of Computer Science, Engineering and Applications (IJCSEA) Vol.3, No.4, August 2013.
  5. Pratibha Gangurde#1, Manisha Bhende, “A Review on Precision agriculture using Wireless Sensor Networks” International Journal of Engineering Trends and Technology (IJETT) – Volume 23 Number 9- May 2015
  6. Akash Jain, Suraj Kudre, Mahesh Giri,” A REVIEW ON SMART SENSORS BASED MONITORING SYSTEM FOR AGRICULTURE”, e-ISSN 2277-2685, p-ISSN 2320-976 IJESR/May 2014/ Vol-4/Issue-5/352-355 Akash Jain et al./ International Journal of Engineering & Science Research.
  7. GopalaKrishna Moorthy .K, Dr.C.Yaashuwanth, Venkatesh.K,” A Wireless Remote Monitoring Of Agriculture Using Zigbee”, ISSN: 2277-3754 ISO 9001:2008 Certified International Journal of Engineering and Innovative Technology (IJEIT) Volume 2, Issue 8, February 2013.
  8. Ion Ionescu de la Brad, “Adoption of Artificial Intelligence in Agriculture
  9. Cosmin POPA”, Bulletin UASVM Agriculture, 68(1)/2011 Print ISSN 1843-5246; Electronic ISSN 1843-5386.
  10. Miss.Snehal S.Dahikar1, Dr.Sandeep V.Rode, “Agricultural Crop Yield Prediction Using Artificial Neural Network Approach”,INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH IN ELECTRICAL, ELECTRONICS, INSTRUMENTATION AND CONTROL ENGINEERING Vol. 2, Issue 1, January 2014, ISSN (Online) 2321 – 2004 ISSN (Print) 2321 – 5526
  11. Jhani Bhasha, Shaik Mazhar Hussain ,” Agricultural field monitoring and automation using PIC16F877A microcontroller and GSM”, International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 3 Issue 6, June 2014
  12. Rakesh Patel et al,” Application of Cloud Computing in Agricultural Development of Rural India” / (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 4 (6) , 2013, 922-926
  13. B. MiloviC and V. RadojeviC,” Application of Data Mining in Agriculture”, Bulgarian Journal of Agricultural Science, 21 (No 1) 2015, 26-34 Agricultural Academy
  14. Anup Vibhute, S K Bodhe , “ Applications of Image Processing in Agriculture: A Survey”, International Journal of Computer Applications (0975 – 8887) Volume 52– No.2, August 2012.
  15. M. P. Raj,P. R. Swaminarayan, J. R. Saini,D. K. Parmar,” Applications of Pattern Recognition Algorithms in Agriculture: A Review”, Int. J. Advanced Networking and Applications Volume: 6 Issue: 5 Pages: 2495-2502 (2015) ISSN: 0975-0290
  16. YETHIRAJ N G, “APPLYING DATA MINING TECHNIQUES IN THE FIELD OF AGRICULTURE AND ALLIED SCIENCES”, Vol 01, Issue 02, December 2012 International Journal of Business Intelligents ISSN: 2278-2400
  17. Veena Divya Kmember IACSIT , Ayush Akhouri, Chandan Kumar, Raunak Rishabh, Rochak Bagla, “A Real time implementation of a GSM based Automated Irrigation Control System using Drip Irrigation Methology”, International Journal of Scientific & Engineering Research, Volume 4, Issue 5,May 2013 ISSN 2229-5518.
  18. Surabhi Singh, Neetika and Satish Kumar, “ Automated Agriculture Monitoring using ZigBee in Wireless Sensor Network-A Review”, International Journal of Current Engineering and Technology Accepted 25 Jan 2016, Available online 31 Jan 2016, Vol.6, No.1 (Feb 2016) E-ISSN 2277 – 4106, P-ISSN 2347 – 5161 ©2016 INPRESSCO®
  19. Sweeti. A. Parwatkar and V. B. Bhagat, “ Producing More Crops in Automated Irrigation System using WSN with GPRS and Zigbee –A Review”, nternational Journal of Current Engineering and Technology E-ISSN 2277 – 4106, P-ISSN 2347 – 5161, March 2015, Vol.5, No.2 (April 2015)
  20. Chetana A. Kestikar, Rutuja M. Bhavsar,” Automated Wireless Watering System (AWWS)”, International Journal of Applied Information Systems (IJAIS) – ISSN : 2249-0868 Foundation of Computer Science FCS, New York, USA Volume 2– No.3, February 2012
  21. Alaa Rahhoom Hadi,” Automatic Controlling System of Drip Irrigation Based on GSM”, Archives of Current Research International 7(2): 1-8, 2017; Article no.ACRI.31416 ISSN: 2454-7077
  22. ARUNA.P..et al, “ AUTOMATIC IRRIGATION CONTROL USING WIRELESS SENSOR NETWORK”, International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 03 Issue: 02 ,Feb-2016
  23. Dr. D.K.Sreekantha, “AUTOMATION IN AGRICULTURE : A STUDY”, International Journal of Engineering Science Invention Research & Development; Vol. II Issue XII, June 2016 e-ISSN: 2349-6185
  24. S.S.Katariya..et..al,”RESEARCH ARTICLE AUTOMATION IN AGRICULTURE”, International Journal of Recent Scientific Research Vol. 6, Issue, 6, pp.4453-4456, June, 2015
  25. Muhammad Umair, R. Usman ,” Automation of Irrigation System Using ANN based Controller”, International Journal of Electrical & Computer Sciences IJECS-IJENS Vol:10 No:02
  26. R.Revathi..et..al” Control of Irrigation System Using GSM Technology” , International Journal on Recent Technologies in Mechanical and Electrical Engineering (IJRMEE) ISSN: 2349-7947 Volume: 2 Issue: 11
  27. Shriyash Thawali et..al,” Design and Manufacturing of Robot for Digging and Seeding in Agriculture”, International Conference on Ideas, Impact and Innovation in Mechanical Engineering (ICIIIME 2017) ISSN: 2321-8169 Volume: 5 Issue: 6
  28. Gaurav Jadhav..et..al ,” Environment Monitoring System using Raspberry-Pi”, International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 03 Issue: 04| Apr -2016
  29. Jaideep Nuvvula..et..al,” ENVIRONMENTAL SMART AGRICULTURE MONITORING SYSTEM USING INTERNET OF THINGS”, International Journal of Pure and Applied Mathematics Volume 115 No. 6 2017, 313-320 ISSN: 1311-8080 (printed version); ISSN: 1314

Keywords

Sensors, decision support, agriculture monitoring, statistics, data science, machine learning