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Imagine working hard for 4-5 months, battling against forces like nature, pests and wild animals to generate a precious produce that brings with it hopes of wealth, expectations and dreams...only to see that produce being sold for extremely low prices and being not wanted by any buyer and then realize that the crop they had planted 5 months ago was a wrong choice.

Agriculture sector in India remains largely disorganized and inefficient due to lack of modern technologies and old-fashioned method of auction trading. Farmers are unaware about the market dynamics and make uninformed decisions when it
comes to sowing crops. This leads to imbalance in supply-demand of agriculture commodities. The proposed system uses data mining techniques to provide farmers with daily market rate predictions and right crop sowing suggestions at the right time. The system suggests crops which shall be in demand at their maturity and also provides a smart trading platform for selling the commodities to institutional buyers.

The method involves farmers and constitutional buyers to make profiles on this platform through their cell phones and uploading their real time crop data and nature of trade respectively. The system then compares this data with the national consumption values obtained from interpolated historical data, to provide accurate crop suggestions with respect to future demand. This method further involves day wise market rate prediction of agriculture commodities, using K-NN algorithm. The predictions are based on the amounts of commodities bought into the market each day. These are tracked from the trades taking place through the system’s time advanced online trading platform. Thus this system aims to decrease the gap between supply and demand and stabilize market rates.

Designed for India's culture

The system uses smartphones and 2G internet as the only infrastructure

Easily deploy-able and easy to maintain

Executable in a low budget

High scope of scaling

Huge Impact by decreasing wastage & stabilizing market rates