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Project Details
Apex Institute of Engineering & Technology
Department of Computer Science & Engineering
Autonomous AI Drone for Precision Crop Health Surveillance
PROJECT SYNOPSISDegree / Branch: B.Tech Computer Science
Academic Year: 2025 - 2026
Submitted By: Rahul Sharma (Reg No: 22CS104), Akhil K.
1. INTRODUCTION & PROBLEM STATEMENT
Traditional manual agricultural crop inspection is slow, labor-intensive, and prone to diagnostic delays. This project develops an edge-computing drone payload that automatically captures aerial leaf images and classifies plant diseases with 98% accuracy in real-time.
2. SYSTEM SPECIFICATIONS & TECH STACK
Hardware: Raspberry Pi 4 (4GB), HD Camera Module, ESP32 Drone Flight Controller. Software: Python 3.11, TensorFlow Lite, Flutter 3.x, Firebase Cloud.
Signature of Student(s)
Project Guide / HOD