SMART SEED SOWING ROBOT USING ESP 32 CAM

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Mr. Desai P.B.
Ms.Jadhav Bhumika
Ms. Sakshi Madde
Ms. Shivmangal Hirole

Abstract

Agriculture is one of the most important sectors contributing to food production and economic growth. However, traditional seed sowing methods require significant human effort, time, and resources, often resulting in uneven seed placement and reduced crop productivity. To address these challenges, the Smart Seed Sowing Robot Using ESP32-CAM has been developed as an automated agricultural solution that combines robotics, embedded systems, and wireless communication technologies. The primary objective of the system is to automate the seed sowing process while providing real-time field monitoring through the ESP32-CAM module.


The proposed robot consists of an ESP32-CAM module, motor driver circuit, DC motors, seed dispensing mechanism, power supply unit, and wireless communication interface. The robot moves through the agricultural field and dispenses seeds at predetermined intervals, ensuring uniform spacing and proper depth for improved germination and crop growth. The ESP32-CAM module serves as the central controller and provides Wi-Fi connectivity along with image and video capturing capabilities. Through wireless communication, farmers can remotely monitor the sowing operation using a smartphone or computer.


The integration of camera technology enables real-time observation of field conditions, helping farmers detect obstacles, monitor sowing accuracy, and assess environmental conditions. The automated system reduces labor requirements, minimizes human errors, and increases operational efficiency. Additionally, the robot can be enhanced with sensors such as soil moisture, temperature, humidity, and GPS modules to support precision agriculture applications.


Experimental implementation demonstrates that the Smart Seed Sowing Robot effectively performs automated seed placement and remote field monitoring. The system offers a cost-effective, energy-efficient, and reliable solution for modern farming practices. By integrating automation and IoT technologies, the project contributes to the development of smart agriculture and sustainable farming systems.

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How to Cite
[1]
Mr. Desai P.B., Ms.Jadhav Bhumika, Ms. Sakshi Madde, and Ms. Shivmangal Hirole, “SMART SEED SOWING ROBOT USING ESP 32 CAM”, IEJRD - International Multidisciplinary Journal, vol. 10, no. 2, p. 5, Jul. 2025.

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