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@article{169633,
        author = {Mr.M.Jaganath and S.Theepshika and B.Sathiya Priya and S.Harini},
        title = {VALUE VISION: PRICE PREDICTION},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {1323-1324},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169633},
        abstract = {Agriculture is a key sector in India, where farmers face challenges due to fluctuating crop prices and yields influenced by climatic factors such as temperature, humidity, pH, and rainfall. This project aims to assist farmers in making data-driven decisions about which crops to cultivate for optimal profitability. By leveraging historical data on fruits, vegetables, and pulses, the system uses advanced machine learning techniques, specifically Long Short-Term Memory (LSTM) networks, to predict future crop prices and yields. These models consider various environmental and market variables to provide accurate profit forecasts. Additionally, the system performs a time series analysis to compare price and profit trends for the upcoming year with previous years. This approach empowers farmers by offering insights into crop selection and financial planning, thereby promoting sustainable agricultural practices.},
        keywords = {agriculture, crop prices, LSTM, time series},
        month = {November},
        }