Automated Weed Identification and Plucking Using Deep Learning Techniques
Objective
The objective is to create a deep learning–based system that automatically identifies and removes weeds, reducing crop damage, lowering manual effort, and improving farming productivity.
Abstract
This project presents an automated weed identification and removal system using deep learning with Raspberry Pi, a camera, robotic chassis, speakers, and Bluetooth module. The camera captures field images, and a deep learning model detects weeds from crops in real time. The robot then navigates and removes the detected weeds automatically, reducing manual labor. Audio alerts are provided through speakers, and Bluetooth enables monitoring and control via a mobile device. The system offers an efficient, low-cost solution for improving agricultural productivity and precision farming.
Keywords: Raspberry Pi, Deep Learning, Weed Detection, Robotics, Precision Agriculture.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
Hardware components:
- Raspberry pi
- Dc Motor
- Motor Driver
- Robot chassis
- Dummy Shaft
- Bluetooth
- Usb Web camera
- Connectors-10.
Software requirements:
- Raspbian OS
- Python IDLE
Learning Outcomes
- Raspberry pi pin diagram and architecture
- How to install Raspberrypi / setup software
- Setting up and installation procedure for Raspberrypi
- Introduction to Raspberrypi environment / development setup
- Basic programming in Raspberrypi (Python)
- Basics of Embedded programming using Raspberrypi
- Basics of IoT platforms
- Working of power supply
- About Project Development Life Cycle:
- Planning and Requirement Gathering (software, tools, hardware components, etc.)
- Schematic preparation
- Code development and debugging
- Hardware development and debugging
- Development of the project and output testing
- Practical exposure to:
- Hardware and software tools
- Solution providing for real-time problems
- Working with team/individual
- Work on creative ideas
- Skills developed:
- Project development skills
- Problem analyzing skills
- Problem solving skills
- Creativity and imaginative skills
- Programming skills
- Deployment
- Testing skills
- Debugging skills
- Project presentation skills
- Thesis writing skills
Paper Publishing
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Disclaimer - Takeoff Edu Group Projects are not associated or affiliated with IEEE in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, not projects of or by IEEE.
