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About

Prasun Shrivastava is a researcher focused on agricultural robotics and automation, with a particular emphasis on integrating mobile communication technologies into farming and security systems. His work centers on developing cost-effective, DTMF (Dual Tone Multi-Frequency) controlled robotic platforms designed to reduce manual labor and improve efficiency in agricultural tasks. His most cited paper, "DTMF based intelligent farming robotic vehicle: An ease to farmers" (2014, 20 citations), introduces a foundational robot that uses smartphone-based tone signaling to perform basic farming operations remotely. Shrivastava’s contributions extend to multi-tasking agricultural robots, or "AGROBOTs," which combine sensors—thermal, sound, and flex—with GSM modules for real-time monitoring and control. He has also explored security applications, such as the "SECBOT" (2014, 2 citations), a DTMF-driven unmanned security robot equipped with GPS and sound sensors. While his citation counts are modest, Shrivastava’s work is notable for its practical, low-cost approach to mechanizing small-scale agriculture, offering a bridge between simple mobile technology and field automation. His research provides a valuable entry point for students and engineers interested in accessible, real-world robotics solutions for developing regions.