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@article{204544,
        author = {Midhun ML and Saheera ST and Hari Krishnan and Anupama John},
        title = {Review Of Solar Powered Multipurpose Agriculture Robot Using ML},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {no},
        pages = {229-233},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=204544},
        abstract = {Agriculture is a vital sector in developing countries, yet it faces major challenges such as labor shortages, inefficient resource utilization, and environmental concerns. This paper presents a review of solar-powered multipurpose agricultural robots integrated with Machine Learning (ML) techniques. These systems automate farming operations such as ploughing, seed sowing, irrigation, pesticide spraying, and crop monitoring. The integration of ML enables intelligent decision-making, improving efficiency and productivity. The use of solar energy ensures sustainability and reduces operational cost. This paper discusses system architecture, working principles, advantages, limitations, and future scope of smart agricultural robots.},
        keywords = {Agricultural Robot, Machine Learning, Internet of Things (IoT), Solar Power, Precision Agriculture, Smart Farming, Automation},
        month = {June},
        }