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AI-Based Sorting and Grading System for Agricultural Produce

This B.Tech Agricultural Engineering project is based on the recent AI/ML research direction ‘AI-Based Sorting and Grading System for Agricultural Produce’. The project connects agricultural engineering with artificial intelligence, machine learning, deep…

Food Processing Projects
Project Overview This B.Tech Agricultural Engineering project is based on the recent AI/ML research direction 'AI-Based Sorting and Grading System for Agricultural Produce'. 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 AI-Based Sorting and Grading System for Agricultural Produce
Research Paper / PDF Link Open Paper / PDF
Year 2025
Project Area Food Processing Projects
Project Type Produce Sorting AI
Required Tools / Software Python, OpenCV, TensorFlow/PyTorch, CNN/YOLO/U-Net, image dataset, Streamlit
Main Features / Working Principle Use computer vision for sorting produce by size, color, maturity, or defects
Expected Output A sorting/grading prototype with class labels
Possible Add-ons Add camera live mode and counting
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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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