Precision agriculture has been revolutionized through the integration of IoT and smart control systems, particularly in automated irrigation and robot navigation. Inefficiency, wastage of water, and lack of environmental adaptability are some of the typical problems related with conventional irrigation systems. This work designs an IoT-Based Smart Agricultural Watering Robot based on a Fuzzy-PID Hybrid Control to improve water distribution and robot navigation. The proposed prototype attains 94.3% tracking accuracy, 91.75% success rate in obstacle elimination, and 39.5% efficiency in water conservation. The system greatly augments agricultural efficiency by incorporating real-time sensor data, fuzzy logic (FL) for decision-making, and PID control for accurate movement. This innovation is vital for enhancing irrigation management and reducing resource waste, which makes it a promising solution for precision agriculture.
Karthick M (Mon,) studied this question.
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