AI-Based Energy Management for Solar-Powered Smart Irrigation Systems — Project Overview
| Project Overview |
This B.Tech Agricultural Engineering project is based on the recent AI/ML research direction 'AI-Based Energy Management for Solar-Powered Smart Irrigation Systems'. 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 Energy Management for Solar-Powered Smart Irrigation Systems |
| Research Paper / PDF Link |
Open Paper / PDF |
| Year |
2024 |
| Project Area |
Renewable Energy in Agriculture |
| Project Type |
AI Energy Management |
| Required Tools / Software |
Python, MATLAB/Simulink optional, PV/wind/biogas data, optimization algorithms, Streamlit |
| Main Features / Working Principle |
Use AI to manage energy use in solar-powered irrigation/farm systems |
| Expected Output |
A dashboard for solar irrigation energy optimization |
| Possible Add-ons |
Add battery storage and weather forecast |
| Get Help |
Get Help on WhatsApp
Message: Hi FE, I need help with "AI-Based Energy Management for Solar-Powered Smart Irrigation Systems" in "Agricultural Engineering"
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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.
