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Abstract

Farmers predict the local weather for the agriculture based on the observation and prediction on nature. In order to help them, by increasing the accuracy and the amount of data in predicting the weather, a tool called Farmer’s Guide is developed. Numerical Weather Prediction methodology is used to predict the rainfall. It uses surface temperature, 100 years of average rainfall report & humidity as its prediction parameters. The tool also predicts the success percentage of the vegetation and the details of the vegetation that can be made during certain period with the help of weather.
Farmer’s Guide’s another aim is to provide Agricultural awareness to youth. This provides data about crop and harvesting details. With the help of the user input the app fetches and displays the details about the soil types that support, monsoon details, quantity of water that are available from the natural resources, percentage of success in production and its uses for the given crop. This guides the farmer to do an effective agriculture by predicting the outcome. This also provides the platform for trading by helping the farmers to find a wide retailer communication. So that the trading occurs soon and this gives an economical support.

Article Details

How to Cite
R.Karthik, S.Lalithkumar, C.Madhankumar, K.Navaneethakrishnan, & R.Sathish. (2017). Farmers guide . International Journal of Intellectual Advancements and Research in Engineering Computations, 5(1), 698–703. Retrieved from https://ijiarec.com/ijiarec/article/view/1449