• Arya Paul
• Riya Das
• Richu Das
• Janhavi Mete
• Premdeep Mohod

This project introduces an innovative autonomous agricultural robot capable of color detection, pick-and-place operations, and sprinkling tasks. The robot leverages an Arduino microcontroller as its control hub, integrating sensors, robotic arms, and a sprinkler system to enhance agricultural productivity. By automating tasks such as plant monitoring, selective harvesting, and precise irrigation, the robot aims to modernize farming practices, minimize manual labor, and optimize resource use. Its design prioritizes affordability and simplicity, making it accessible for deployment in small- to medium-scale agricultural setups. Furthermore, the project incorporates advanced measurement techniques to ensure the robot's performance, accuracy, and reliability during real-time operations. Future enhancements may include the integration of ultrasonic sensors for autonomous soil analysis, area mapping, and terrain leveling, paving the way for advanced precision farming.

agricultural robot, color detection, Arduino, pick-and-place, sprinkling, automation.

"machine learning based agricultural machine", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 1, page no.g28-g30, January-2025, Available :http://www.jetir.org/papers/JETIR2501604.pdf

"machine learning based agricultural machine", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 1, page no. ppg28-g30, January-2025, Available at : http://www.jetir.org/papers/JETIR2501604.pdf