| Project Overview | This B.Tech Agricultural Engineering project is based on the recent AI/ML research direction 'Smart Water Management in Agriculture Using IoT and Artificial Intelligence'. 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. |
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| Research Paper Title | Smart Water Management in Agriculture Using IoT and Artificial Intelligence |
| Research Paper / PDF Link | Open Paper / PDF |
| Year | 2024 |
| Project Area | Water Management Projects |
| Project Type | Smart Water AI |
| Required Tools / Software | Arduino/ESP32, soil moisture sensor, DHT sensor, relay module, Python/Flask, Firebase/MySQL, ML model |
| Main Features / Working Principle | Combine IoT sensors and AI models for water conservation in agriculture |
| Expected Output | A smart water management dashboard |
| Possible Add-ons | Add auto-valve and pump control |
| Get Help | Get Help on WhatsApp
Message: Hi FE, I need help with "Smart Water Management in Agriculture Using IoT and Artificial Intelligence" 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.