• Merrybell Babu
• Shigha Theres

In India the pricing system of the agriculture sector is unordered, so we plan to fix this type of system by analyzing the behavior of the Indian agro market by studying the supply and demand of the yield. How much amount of vegetables are produced in this area? Which area is a shortage in supply and study their pricing? Which month has higher demand? By analyzing this data, we can produce results that will be helpful to farmers. They will get a clear idea of how much crops should be produced for the supply. At what time should they start farming so at the time of harvest they can sell at a better price? Prediction plays an important role everywhere particularly in business, technology, and many others. It helps all types of organizations to improve profits and reduce the loss by making timely decisions. We collect the data from websites and by using Machine Learning technology, predict the synchronization between the demand and supply for various food crops required by the society. A user-friendly web application was developed using Flask which is a web application framework written in Python and the user interface is made with HTML/CSS to display the details of each crop and connected to the model with the help of Flask. There will be a set of crops that the farmer can select accordingly and it provides the data about the production of that crop, shortage of supply, demands, market price, profit, etc. so that the farmer will get an idea about marketing and harvesting. The visualization is done for daily prices, different markets, and different months. By understanding the visualization, farmers can try different options and understand how the sales pattern goes. By using algorithms like regression models (Random forest, Support Vector Regression, etc.) we can predict better outcomes and better profit recommendations.

Agro-Smart Recommender

"Agro-Smart Recommender", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.h460-h470, April-2024, Available :http://www.jetir.org/papers/JETIR2404755.pdf

"Agro-Smart Recommender", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. pph460-h470, April-2024, Available at : http://www.jetir.org/papers/JETIR2404755.pdf