The application of machine learning techniques for smart irrigation system: A systematic literature review — Project Overview
| Project Overview |
This B.Tech Agricultural Engineering project is based on the recent AI/ML research direction 'The application of machine learning techniques for smart irrigation system: A systematic literature review'. 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 |
The application of machine learning techniques for smart irrigation system: A systematic literature review |
| Research Paper / PDF Link |
Open Paper / PDF |
| Year |
2024 |
| Project Area |
Smart Irrigation Systems |
| Project Type |
ML Irrigation Review |
| Required Tools / Software |
Arduino/ESP32, soil moisture sensor, DHT sensor, relay module, Python/Flask, Firebase/MySQL, ML model |
| Main Features / Working Principle |
Build a student prototype based on ML irrigation strategies reviewed in the paper |
| Expected Output |
A comparative dashboard for irrigation prediction models |
| Possible Add-ons |
Add crop-wise recommendation |
| Get Help |
Get Help on WhatsApp
Message: Hi FE, I need help with "The application of machine learning techniques for smart irrigation system: A systematic literature review" in "Agricultural Engineering"
|
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.
