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Ficus krishnae stem bark and leaves are used for diabetes treatment in traditional medicines. Stem bark of F. krishnae was sequentially extracted with hexane, methanol and water, and these extracts were tested for their antihyperglyceamic activity by oral glucose tolerance test (OGTT) in overnight fasted glucose loaded normal rats. Hexane extract showed significant glucose lowering activity in OGTT, and the triterpene alcohols (cycloar-tenol+24-methylenecycloartanol) (CA+24-MCA) were isolated together from it by activity guided isolation and characterized by NMR and mass spectroscopy. The ratio of the chemical constituents CA and 24-MCA in (CA+24-MCA) was determined as 2.27:1.00 by chemical derivatization and gas chromatographic quantification. (CA+24-MCA) in high fat diet-streptozotocin induced type II diabetic rats showed significant antidiabetes activity at 1 mg/kg and ameliorated derailed blood glucose and other serum biochemical parameters. Cytoprotective activity of (CA+24-MCA) from glucose toxicity was evaluated in cultured RIN-5F cells by MTT assay and fluorescent microscopy. (CA+24-MCA) in in vitro studies showed enhanced cell viability in RIN-5F cells and significant protection of beta cells from glucose toxicity. Both in in vivo and in vitro studies (CA+24-MCA) showed enhancement in insulin release from the beta cells. In short term toxicity studies in mice (CA+24-MCA) did not show any conspicuous toxic symptoms. The combination of the phytosterols (CA+24-MCA) obtained through activity guided isolation of the stem bark of F. krishnae showed significant activity, and therefore is a promising candidate for new generation antidiabetes drug development.

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This paper gives an idea in regards with the impact of Artificial Intelligence in Agrarian Sector. As India is an Agrarian Country, our economy is uncommonly dependent upon the yielding of harvests and its most prominent effectiveness. Most of people in our country depends upon cultivation for their everyday requirements. The usage of Artificial Intelligence close by its capacity of learning can give an enormous impact on the country sector.AI development helps in distinctive sickness in plants, vermin and sad sustenance of residences. Man-created insight sensors can recognize and target weeds and subsequently pick which herbicide to apply inside the area. This assistants in lessened utilization of herbicides and cost save reserves. Various mechanical associations make drobots, which use PC vision and man-made awareness to screen what's more, unequivocally shower on weeds. This paper moreover discusses the new developments that opens the way to a Smart Agriculture .This paper gives an idea in regards with the impact of Artificial Intelligence in Agricultural Sector.

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