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@article{195890,
        author = {KEERTHANA R and ABINAYA S and JEEVITHA N and LOGASHRI K and NITHYA K},
        title = {AgriNexus - A web based bot for smart farming decision assistance Crop Recommendation,Pest detection,Scheme related Queries.},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {1604-1611},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195890},
        abstract = {Agriculture plays a crucial role in food production and economic development. However, traditional farming methods often require extensive manual labor and may lead to inefficient resource utilization. The proposed Agrobot system presents a software-based solution designed to support intelligent farming practices through automated monitoring and decision support.
The system uses computational models and data analysis techniques to monitor crop conditions, predict crop health, and assist farmers in optimizing agricultural operations. By analyzing parameters such as crop growth patterns, environmental conditions, and soil characteristics, the Agrobot system can generate recommendations for irrigation, fertilization, and crop management.
The proposed system aims to enhance agricultural productivity by reducing human effort and improving decision-making through intelligent software algorithms. This approach demonstrates the potential of digital agriculture and software-driven robotic systems in modern farming environments.},
        keywords = {Agrobot, Smart Agriculture, pest detection, Crop recommendations,Scheme related queries using bot.},
        month = {April},
        }