Eric Miller¹ and Jonathan Sahagun², ¹ USA, ² California State Polytechnic University, USA

This project addresses the challenge of providing consistent, educational farm tours with limited staf . We designedand built an autonomous robot that uses GPS to follow a farm path, a camera to detect nearby plants, andChatGPT's vision and language models to describe the plants in real time [1]. The robot plays this informationout loud using a text-to-speech engine, of ering visitors a guided tour experience with minimal human involvement. The system was developed using a Raspberry Pi, Adafruit GPS, and Python code to integrate hardware andAPI- based services [2]. We tested the robot’s plant recognition accuracy and audio clarity under real-world conditions. Results showed over 80% detection accuracy and improved voice clarity with slower speech settings. Compared to existing solutions' like static museum guides or indoor service robots—this project of ers a dynamic, outdoor-compatible alternative. It combines automation and education in a scalable, engaging way that couldbenefit farms, gardens, or environmental centers.

Farming, Robotics, Tourism, Pathways