Greening Agriculture: Solar-Powered Robotic Seed Sower

The prevailing reliance on fossil fuels to power machinery in agriculture has led to environmental degradation and a looming energy crisis. This study addresses these concerns by proposing a solar-operated automatic seed sowing machine. The machine utilizes solar panels to capture and convert solar energy into electrical power, subsequently charging a 12V battery. This power is then utilized to drive a shunt wound DC motor, enabling the machine's movement. In addition to solar power, infrared sensors are employed for navigation, enabling autonomous movement within the field. The machine's functionality includes seed sowing, digging, and watering, with adaptability to various ground contours. By reducing labour dependency and minimizing environmental impact, this technology offers a sustainable solution to enhance agricultural efficiency and mitigate resource depletion. The real power required for machine equipment depends on the resistance to the movement of it. Even now, in our country 98% of the contemporary machines use the power by burning of fossil fuels to run IC engines or external combustion engines. This evident has led to widespread air, water and noise pollution and most importantly has led to a realistic energy crisis in the near future. Now the approach of this project is to develop the machine to minimize the working cost and also to reduce the time for digging and seed sowing operation by utilizing solar energy to run the robotic machine [1]. In this machine solar panel is used to capture solar energy [2] and then it is converted into electrical energy which in turn is used to charge 12V battery, which then gives the necessary power to a shunt wound DC motor.

This power is then utilized to drive a shunt wound DC motor, enabling the machine's movement. In addition to solar power, infrared sensors [3] are employed for navigation, enabling autonomous movement within the field. The machine's functionality includes seed sowing, digging, and watering, with adaptability to various ground contours [4]. By reducing labour dependency and minimizing environmental impact, this technology offers a sustainable solution to enhance agricultural efficiency and mitigate resource depletion.