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@article{193703,
        author = {Subhashini G and Haridharan V and Karthikeyan B},
        title = {IoT-Based Smart Planting System for Sustainable and Precision Agriculture},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {1170-1176},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=193703},
        abstract = {Agriculture faces major challenges due to increasing food demand, limited natural resources, and climate variability. Traditional farming practices depend heavily on manual mon- itoring and fixed irrigation schedules, resulting in inefficient water usage and reduced crop yield. This paper presents an IoT-based smart planting system that automates irrigation and continuously monitors environmental parameters. The system integrates soil moisture, temperature, humidity, and light sensors with a microcontroller and a cloud platform. Real-time sensor data enables automated irrigation decisions and remote monitor- ing. Experimental results demonstrate improved water efficiency, reduced labor, and healthier plant growth. The proposed system is cost-effective, scalable, and suitable for diverse agricultural environments.},
        keywords = {Internet of Things (IoT), Smart Planting, Pre- cision Agriculture, Automated Irrigation, Sensors, Sustainable Farming.},
        month = {March},
        }