MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641041688 A) filed by Kesavaraj, Coimbatore, Tamil Nadu, on April 1, for 'smart iot-enabled remote control grass cutter and pesticide sprayer robot.'
Inventor(s) include Muhammed Nafil; Navaneeth Krishnan C; Gautham EP; Iz Hamshan C A; Mr. G Thilak; Sivamurugan; and Jeya Agastin K.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The increasing demand for smart and efficient agricultural solutions has created the need for automated systems that reduce manual labor and improve operational safety. This paper presents the design, development, and implementation of a Smart IoT-Enabled Remote Control Grass Cutter and Pesticide Sprayer Robot that integrates automation, wireless communication, and precision agriculture techniques into a single multifunctional platform. The proposed system consists of a microcontroller-based control unit, motor driven cutting mechanism, pesticide spraying module with pump and nozzle, rechargeable battery system, and IoT communication interface such as Wi-Fi or Bluetooth for remote operation. During operation, the robot is controlled remotely through a smartphone or web-based interface. The mobility system allows navigation across agricultural fields, while the cutting blade performs grass trimming and the spraying unit ensures uniform pesticide distribution. IoT integration enables real-time monitoring and control, allowing users to operate the system efficiently from a distance. Sensors may be incorporated for obstacle detection and operational safety, enhancing system reliability. The system significantly reduces human exposure to harmful chemicals, minimizes labor requirements, and increases productivity in agricultural practices. Its compact and portable design makes it suitable for farms, gardens, and remote areas. Experimental evaluation demonstrates effective grass cutting, consistent spraying performance, and reliable remote operation under typical field conditions. The proposed solution offers a cost-effective and scalable approach to modern smart farming applications."
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