Demand Prediction of Agricultural Crops using Artificial Intelligence

India’s Gross Domestic Product (GDP) greatly depends on agriculture. The major risk in the agriculture field, now-a-days is price volatility. The constant fluctuation in price on daily basis makes farmer strain to prepare a marketing as well as farming plan. Many factors contribute to the mutation of prices specifically climate changes, merchant fee, variation of prices based on regions and attack of pesticide. The farmers are not aware about the financial funding schemes in conjunction with their eligibility given by the government for their welfare. The existing software applications does not support all regional languages which does not make feasible for farmers to use the application. The application concentrates on creating a user-friendly application that could predict day-to-day trends of cost in the market and helps the farmer to gain profit for their goods. To achieve this, Machine learning. Algorithm – Decision tree algorithm is used to predict the price of agricultural products with respect to inflations and deflations in market. The proposed idea mainly focuses on predicting the price using machine learning algorithm by using certain parameter (Data set) namely season, location, seed sales, histogram and etc., for specific agricultural product. The system uses Global Positioning System (GPS) which helps to select the location to predict price and to find the nearby marketplace for auctioning of agricultural goods. For easier accessibility for farmers, they can choose their regional languages for better understanding.