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Agricultural bioinformatics is one of the recent and the fastest emerging disciplines of the science exploiting computational approaches to biology and life sciences. It is facilitated through mathematical algorithms and statistical techniques essential for the development of a required labyrinthine algorithm that can interpret biological data and configure assumptions from biological shreds of evidences. The discipline comprises many quantitative examinations of the knowledge relating to the biological macromolecules, seeking aid from high-end computing systems and progresses further to computer science and communication technology solving arduous conundrums in the respective fields of life science and more precisely in the field of agriculture. India has mainly focused on the technological upgradation but lacks effective policy measures to have shifts from the traditional technologies. The National System of Innovation framework presents the current landscape of agriculture bioinformatics, and can be mapped for research purpose. The framework requires a variety of expertise stakeholders' networks for productive results, which can cater to the present and the future food demands, and can pinpoint needed solutions. This paper discusses the growth of agricultural bioinformatics in India and the challenges in that field. [ABSTRACT FROM AUTHOR]