Crop Recommendation and its Optimal Pricing using ShopBot

Agriculture is one of the biggest economic activities in India. Every year crops are yielded in different regions of the country. This paper proposes a move towards precision agriculture to increase the yield of crops, minimize the cost and automate the inputs for processing. To modernize the process of cultivating crops, data mining techniques for crop recommendation based on the climatic factors primarily rainfall, temperature and location are used. Fertilizers and seeds are mandatory commodities for farming and buying them in large quantities along with proper pricing are necessary. The activity of purchasing a commodity on E-commerce websites with optimal cost and quantity can be monotonous and often one loses out on commodities while browsing. With the increase in online shopping, ShopBot has proven beneficial for online consumer search. A ShopBot offers a minimal search cost as well as compares products from multiple websites. This provides an aspect of optimization in cultivating and purchasing the crop.