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@article{187854,
        author = {Mrs. Dhivya V and Sahana and Rakshitha K and Thanuja A S},
        title = {Future crop: AI Powered Price Prediction of Agri & Vegitable Markets},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {7212-7218},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=187854},
        abstract = {Agriculture plays a crucial role in India by providing employment and food security. Farmers often struggle to choose the right crop due to climate changes, irregular rainfall, and lack of scientific data. To solve this, the Online AgriCrop Prediction System was developed. It is a web-based platform using Python (Flask) and Firebase for data storage. It uses a supervised machine learning model to predict the most suitable crop based on inputs like temperature, humidity, rainfall, and soil type. The interface is simple and responsive, allowing farmers to access results from any device. This system helps in data-driven crop selection, reduces human errors, and improves productivity. In the future, features like fertilizer suggestions, yield prediction, and real-time weather integration can be added for better accuracy.},
        keywords = {Agriculture, Crop Prediction, Machine Learning, Flask, Python, Firebase, Real-time Weather Data, Decision Tree Regression, Crop Recommendation System, Sustainable Farming.},
        month = {November},
        }