S.M.A.R.T. SOLUTION FOR DROUGHT PREDICTION AND MANAGEMENT
Keywords:Simple Manageable Agriculture Research Technology(S.M.A.R.T), Artificial intelligence, ANN in agriculture, Hidden Markov Models
Artificial Intelligence is the branch of technology that has been used for developing prediction models for various environmental crisis but it is still in the inception phase for predicting natural disasters in general and droughts in specific .India has gross irrigated area of 82.6 million hectares which is largest in the world but due to global warming and other climatic changes the weather cycle has been changing and there is a increase in cases of continuous droughts in particular regions, therefore there is need of statistically analyzing and predicting droughts. The integration of various technologies like A.I., HMM, GIS, Remote sensing and DSS can be used for development of advance forecasting systems, so that the intensity of drought can be reduced with timely support given to the particular area and farmers. This paper proposes a new model whose development will boost growth of Indian agriculture and will give new meaning to the digital India concept in true sense.
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