Design of an improved graph-based model integrating LSTM, LoRaWAN, and blockchain for smart agriculture
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View abstract on PubMed
Summary
This summary is machine-generated.This study integrates artificial intelligence (AI), Internet of Things (IoT), and blockchain for smart irrigation, improving crop water use efficiency. The system optimizes irrigation schedules, reducing water waste and increasing crop yield for sustainable agriculture.
Area Of Science
- Agricultural Engineering
- Computer Science
- Data Science
Background
- Traditional irrigation methods are inefficient, leading to water waste and suboptimal crop yields.
- Smart agriculture requires real-time adaptability and secure data management, which traditional methods lack.
Purpose Of The Study
- To design and implement an integrated system for optimizing irrigation and improving crop water use efficiency.
- To leverage AI, IoT, and blockchain for real-time soil moisture monitoring, prediction, and automated irrigation.
Main Methods
- Utilized Long Short-Term Memory (LSTM) networks for soil moisture prediction (MAE of 0.02 m³/m³).
- Deployed IoT sensors with LoRaWAN technology for low-power, long-range, low-latency monitoring.
- Implemented a permissioned blockchain (Hyperledger Fabric) for secure and immutable data management.
- Applied Deep Q-Learning (a reinforcement learning technique) for optimized irrigation scheduling.
Main Results
- Achieved a 20% reduction in water usage and a 12% increase in crop yield in field trials.
- Demonstrated efficient real-time monitoring with sensor battery life exceeding 5 years and data latency below 5 seconds.
- Ensured data integrity and security with blockchain, supporting 1,000 transactions per second.
Conclusions
- The integrated AI, IoT, and blockchain system significantly enhances irrigation efficiency and crop yield.
- The system offers a sustainable and accurate solution for modern agricultural resource management.
- This innovative approach addresses key challenges in smart agriculture, promoting productivity and environmental stewardship.
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