Al-Powered Yield Estimation System using On-Field Image Data and Soil Parameters
Objective
The objective is to build an AI-based system that analyzes crop images and soil parameters to accurately estimate yield, helping farmers optimize resources and boost productivity.
Abstract
This project presents an AI-powered crop yield estimation system using Raspberry Pi, a web camera, soil moisture sensor, pH sensor, and LCD display. The web camera captures field images, while the sensors monitor soil conditions in real time. Artificial intelligence and machine learning techniques analyze the image and soil data to estimate crop yield and recommend suitable crops based on field conditions. The predicted yield and recommendations are displayed on the LCD, helping farmers make informed decisions for improved productivity and resource management.
Keywords: Raspberry Pi, Yield Estimation, Crop Recommendation, Machine Learning, 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
- SD Card
- LCD
- PH Sensor
- Soil Moisture
- 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
Request Call Back
Would you like to receive a free callback now?
Choose the best time for callback:
Leave your message and we will contact you as soon as possible
6-2-85/B, Old Maternity Hospital Road, Thyagaraja Nagar, Tirupati, Andhra Pradesh – 517501
+91 9030333433
+91 9393939065
0877-2261612
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.
