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@article{172444,
        author = {Amulya M G and Savitha R and Manoj R S and Prahlad V Desai and Impana K and Amulya M G},
        title = {Precision Agriculture and Profit Forecasting System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {3198-3202},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=172444},
        abstract = {The Precision Agriculture and Profit Forecasting System is an innovative approach designed to enhance modern farming through advanced technology integration. This system incorporates crop detection using machine learning and image processing techniques to identify crop types and monitor their health in real-time, enabling targeted interventions. It provides tailored fertilizer recommendations by analyzing soil parameters such as pH, moisture, and nutrient content using IoT-based sensors, ensuring optimal resource utilization and improved crop yields. Additionally, the system includes a market price detection module that analyzes real-time market data to forecast crop prices, assisting farmers in making informed decisions about harvest timing and sales to maximize profitability. To safeguard crops, the system features an animal intrusion detection mechanism that employs motion sensors and cameras to detect and alert farmers of potential threats. By combining these functionalities, the system offers a comprehensive solution to optimize productivity, reduce losses, and support sustainable farming practices while empowering farmers with actionable insights for better decision-making.},
        keywords = {},
        month = {January},
        }