Design and implementation of on-line data submission and retrieval system for coordinated research trials in food legumes

DOI: 10.18805/lr.v0iOF.6767    | Article Id: LR-3324 | Page : 442-447
Citation :- Design and implementation of on-line data submission and retrieval system for coordinated research trials in food legumes .Legume Research-An International Journal.2016.(39):442-447

Devraj*, G.P. Dixit, P.K. Katiyar and Sanjeev Gupta

drmishra_1969@yahoo.co.in
Address :

Indian Institute of Pulses Research, Kanpur 208 024, India

Submitted Date : 7-01-2014
Accepted Date : 25-06-2014

Abstract

Online data submission and retrieval system for coordinated research trials in food legumes has been developed with an aim to reduce the time and cost in collection, compilation, data analysis, retrieval and report generation. At the first instance, efforts were made to use plant breeding data as it covers more than 60% of total trials. The system has been developed using ASP.NET with C# as the front-end and SQL Server 2005 as back-end. This system has three online functional modules viz., Data Entry and Submission Module, Data Analysis Module and Report Generation Module. The system is designed to be user-friendly and is completely menu-driven with options for assigning login IDs and passwords. It can be accessed efficiently through URL: http://www.aicrpmullarp.res.in. The complete system has been presented, tested and validated during different Group Meets of AICRP on MULLaRP. The implemented system being satisfactorily used by the centres of AICRP on MULLaRP since last one year and has significantly reduced the manpower and processing time required for compilation, data analysis and preparation of annual report. The present article describes the design and implementation of on-line data submission and retrieval system for coordinated research trials in food legumes.

Keywords

AICRP Trials Retrieval System ASP.NET JavaScripts SQL Server 2005 Data Booklet.

References

  1. Chen S and Huang SC (2007). The Information System of Genetic Resources of Horticultural Plant in Taiwan. Acta Horticulture (ISHS) 760:603-608.
  2. Dahiya Shashi, Singh Balbir, Arora Alka and Farooqi Samir (2004). Web based Personnel Management Information System for Indian Council of Agricultural Research (ICAR). Journal of the Indian Society of Agri. Statistics 58(2): 244-252.
  3. Dahiya Shashi, Vats MR, Dixit Anshu and Sehgal DK (2008). NISLTFE: A web based Information system for Long Term Fertilizer Experiments in India. Journal of the Indian Society of Agri. Statistics 62(3): 276-282.
  4. Dariusz Ceglarek, Konstanty Haniewiez and Wojciech Rutkowski (2010). Semantic Compression for specialized Information Retrieval Systems. Advances in Intelligent Information and Database Systems 283: 111-121.
  5. Francis Lau, Craig Kuziemsky, Morgan Price and Jesse Gardner (2010). A review on systematic reviews of health information system studies. Journal of the American Medical Informatics Association 17(6): 637-645.
  6. Kumar Sanjeev, Sethi IC and Arora A (2006). On-line Data Management System for Long Term Fertilizer Experiments. Journal of the Indian Society of Agri. Statistics 60(3): 162-168.
  7. Kumar Vinod, Singh KH, Chaturvedi KK and Nanjundan J (2013). Design and implementation of web-based database of rapeseed-mustard germplasm using Linux-Apache-MySQL-PHP (LAMP) technology. African Journal of Agricultural Research 8(22): 2733-2743.
  8. Miliar JF, Hammond JJ and Cosnstock VE (1982). Development of Data Management Information System for Germplasm Collection of Flax. Canadian Journal of Plant Science 62(3): 827-830.
  9. Morris Craig F and Raykowski James A (1993). WAS: Computer Software for Wheat Quality Data Management. Agronomy Journal 85: 1257-1261.
  10. Mundankar KY and Karibasappa GS (2008). Information System for Grape Germplasm in India. Acta Horticulture (ISHS) 785: 159-162. 
  11. Ravisankar H, Sarala K, Krishnamurthy V and Rao RVS (2009). A software system for tobacco germplasm data. Plant Gene. Resource 7(2): 139-141.
  12. Sarkar D and Naik PS (1996). Use of Computer Database to mange an Invitro collection of Potato Germplasm. Plant Genetic Resource Newsletter 106: 20-25.
  13. Sharma Anu, Goyal RC, Gupta VH and Grover RB (2006). Design and on-line management of database on Indian Agricultural Education System. Journal of the Indian Society of Agri. Statistics 60(3): 155-161.
  14. Stafne Eric T, Brown James S and Shine James M Jr (2001). A Relational Database for Agronomic and Genealogical Sugarcane Data: An Adaptable Prototype. Agronomy Journal 93: 923-928.
  15. Theophile K. Dagba, Ercias Lohounme, Ange Nambila and Charbel Y. Boco (2014). A loan management system as web services: a case study on a microfinance institution. International Journal of Intelligent Information and Database Systems 8(1): 31-48.

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