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Farm Automation Using Computer Vision and Robotic Systems

This B.Tech Agricultural Engineering project is based on the recent AI/ML research direction ‘Farm Automation Using Computer Vision and Robotic Systems’. The project connects agricultural engineering with artificial intelligence, machine learning, deep…

Farm Automation
Project Overview This B.Tech Agricultural Engineering project is based on the recent AI/ML research direction 'Farm Automation Using Computer Vision and Robotic Systems'. The project connects agricultural engineering with artificial intelligence, machine learning, deep learning, IoT, computer vision, drone analytics, or RAG-style decision support. Students can use the linked 2023-onward paper/source as the academic base and convert it into an implementation-focused final-year project with sensors, datasets, dashboards, mobile/web interfaces, prediction models, or prototype automation.
Research Paper Title Farm Automation Using Computer Vision and Robotic Systems
Research Paper / PDF Link Open Paper / PDF
Year 2025
Project Area Farm Automation
Project Type CV + Robotics
Required Tools / Software Python, OpenCV, TensorFlow/PyTorch, CNN/YOLO/U-Net, image dataset, Streamlit
Main Features / Working Principle Use computer vision to detect farm conditions and trigger robotic/automation actions
Expected Output A prototype showing visual farm condition detection
Possible Add-ons Add robot simulation and task assignment
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This B.Tech agricultural engineering project resource helps students connect a recent AI-based research direction with a practical implementation plan, tools, expected output, and possible extensions.

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