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Information IARI
Indian Agricultural Research Institute ( IARI ), commonly known as the Pusa Institute , [3] is India's national institute for agricultural research, education and extension . The name Pusa Institute is derived from the fact that the institute was originally located in Pusa , Bihar as the Imperial Institute of Agricultural Research in 1911. It was then renamed as the Imperial Agricultural Research Institute in 1919 and following a major earthquake in Pusa in 1934, it was relocated to Delhi in 1936. The current institute in Delhi is financed and administered by the Indian Council of Agricultural Research (ICAR) . The IARI was responsible for the research leading to the " Green Revolution in India " of the 1970s. [4] [5] IARI ranked First among Agriculture and Allied Universities in the National Institutional Ranking Framework NIRF (India Rankings 2023), ...
About ICAR
Indian Council of Agricultural Research is an apex research organization of the country with a high standing amongst international agricultural research institutions. Since its inception in 1930, the Council has been spearheading agricultural research, education and extension activities for productivity enhancement and diversification of Indian agriculture. The world as a whole is undergoing several transformative changes. Growing population, changing lifestyles, expanding urbanization and accelerated climate changes are creating new challenges for the national agricultural research system. Whereas in the past, the challenge was to supply adequate food, but now it is to provide adequate nutrients to promote health; and in the future, the challenge would be to provide optimal nutrients based on individual’s genetic profile. Fortunately, along with challenges, the developments in science are creating new avenues for tackling the challenges. The Indian Council of Agricultural Resear...
Icar top rank papers
ReferredResearch PapersPublishedJanuary-March2023SNPublicationNAAS Rating1.Ahmed, Bulbul, Haque, Md Ashraful, Iquebal, Mir Asif, Jaiswal, Sarika, Angadi, Ulavappa B., Kumar, Dinesh, Rai, Anil (2023) DeepAProt: Deep learning based abiotic stress protein sequence classification and identification tool in cereals. Frontiers in PlantScience (https://www.frontiersin.org/articles/10.3389/fpls.2022.1008756/full11.752.Anindita Datta, Seema Jaggi, CiniVarghese, Eldho Varghese, Mohd Harun and Arpan Bhowmik. (2022). Efficient row-column designs with multiple units per cell balanced for special effects. Journal of Indian Society of Agricultural Statistics. 76(3), 131–140..5.513.Bharti, Das P., Banerjee R., Ahmad T., Devi S. and Verma G. (2023). Machine-Learning-Based Apple Yield Prediction using Morphological Characters. Horticulturae, 9(4), 436;1-12 (NAAS:8.923). https://doi.org/10.3390/horticulturae9040436.8.924.Borgohain, A., Sarmah, M., Gogoi, B. B., Konwar...