Browsing by Author "Anil Rai"

Now showing 1 - 4 of 4
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    Deciphering genes associated with root wilt disease of coconut and development of its transcriptomic database (CnTDB)
    (2017) Sandeep Kumar Verma; Rahul Singh Jasrotia; Iquebal, M.A.; Sarika Jaiswal; Angadi, U.B.; Anil Rai; Dinesh Kumar
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    Design of Data Marts for Plantation Crops
    (2002) Ravikumar, N.; Muralidharan, K.; Sairam, C.V.; Palaniswami, C.; Dhanapal, R.; Arulraj, S.; Anil Rai; Vipin Dubey; Chaturvedi, K.K.
    Plantation crops occupy a significant position in the agricultural sector and play a significant role in the. Indian economy. To apply the Information Technology tools, it is required to link all the relevant data sets in to a single system. To achieve this objective, the Indian Council of Agricultural Research (ICAR) has launched a mission mode project entitled Integrated National Agricultural Resource Information System (INARIS) involving 14 research institutes. The efficiency of the databases at various centres could be enhanced by providing solutions to customer queries in an integrated manner, for which data marts are to be developed. In this papeG basic concepts of designing of the data marts are applied to the plantation crop sector. Three data marts viz., statistics, agro-techniques and research were identified in the field of plantation crops as a part of Centralized data warehousing of national agricultural resources. Different aspects of data mart design were delineated. The detail and summary levels of data in the data mart were documented. Developing data marts will help to evolve decision support tools in respective area of specialization without much cost involved. Finally, the data warehouse would be built-up by joining the data marts.
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    Evaluation of web sites for contents on regional recommendations on coconut farming in India
    (2006) Muralidharan, K.; Thamban, C.; Palaniswami, C.; Dhanapal, R.; Anil Rai
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    PolyMorphPredict: A Universal Web-Tool for Rapid Polymorphic Microsatellite Marker Discovery From Whole Genome and Transcriptome Data
    (2019) Ritwika Das; Vasu Arora; Sarika Jaiswal; MA Iquebal; UB Angadi; Samar Fatma; Rakesh Singh; Sandip Shil; Anil Rai; Dinesh Kumar