Autonomous Seed Sowing Robot with Slam Based Precision Navigation

Abstract

The main objective of the project is to create autonomous seed sowing robot integrated with simultaneous localization and mapping (SLAM). This multidisciplinary project combines various hardware components, such as a   microcontroller, light and sound sensors, communication modules, rotatory system and a power supply, all integrated into a robust frame. Motor driver and a micro controller-based control unit manage locomotion and seed dispensing mechanisms. The SLAM algorithm enables the robot to navigate autonomously in varying terrains, maintain straight sowing paths and record planting locations for future reference. C++ and python programming environments are utilized for sensors data processing, control logic and mapping operations. It aims to automate the seed sowing process with high accuracy, reducing human effort and increasing productivity in agricultural operations.