Abstract
Agriculture is the backbone and boost for Indian economy. Many of the population around 75% depends on agriculture. Therefore, it is needed to use best out of it. In the modern era of agricultural system, India lag behind from other countries. Still there are the things to be taken care of for the increase in agricultural production and efficiency. Many countries have adopted precision based agriculture system. The agricultural system in India still need to modernize for the better production and dispersal of crops. In this paper the authors have proposed a Multidisciplinary model for smart agriculture using many technologies like IoT, Big data, Cloud Computing, Machine Learning, Wireless Sensing Network, Sensors, Mobile Computing. The IoT will run parallel with these technologies for precision based model. The model sets up in a way that it will collect the data produced by various sensors like rain sensor, temperature sensor, humidity sensor, soil and moisture sensor. These data will be analyzed and the relevant information has been sent to farmers and agro vendors like weather conditions, temperature. The farmers will take action accordingly. This real time based application will increase their productivity and decrease the effective cost and time.
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