All India Coordinated Rice Improvement Programme (AICRIP) is the largest research network across India on a single crop. There are more than 100 coordinating centers under this programme. The main objective of the AICRIP is to evaluate technologies developed on rice crop across diverse ecosystems to increase and stabilise rice production. Every year numerous cultivars and improved elite breeding lines, crop production and protection technologies are evaluated across the country to select the best performing variety/technology. There was no real time reporting, data submission before the development of portal but data were sent only once that too in very diverse formats thus resulting in delays in analysis and reporting. Hence a need was felt for effective data collection, analysis and real time reporting.
Keeping in view of the above mentioned points, AICRIP Experimental database portal has been developed to receive experimental data uniformly across disciplines across centers.
Different entities and activities under AICRIP system were analysed, relational tables and user interfaces were created using Microsoft Visual C Sharp as Front end and MS SQL as back end. AICRIP Intranet package was designed with 57 relational tables, 190 stored procedures and 60 user interfaces. User friendly interfaces were designed for data entry and analysis of Random Block, Split designs for evaluating breeding lines, crop production and protection technologies, Screening Genotypes for assessing genotypes reaction to pests and diseases.
This portal is accessible to only AICRIP users with user credentials. Five important user privileges. were designed to access data in AICRIP Intranet.
End Product of this project will reduce the work and time taking for analysing huge data from AICRIP centers. Data will be directly added to the centralized database in the prescribed format and year wise data will be maintained on the server. State- zonal varietal performance and location wise treatment means along with CD, CV, significance values, location wise scores in screening nurseries reports are the major reports in Intranet. This will be further extended for generating location wise performance of technologies across trials, disciplines and centers. This huge database will be of great use for developing intelligence technologies to different rice growing regions. This software can be easily customized and used for managing and coordinating data of any other crops under Indian Council of Agricultural Research(ICAR).
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