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Research Article
Potential Enhancements in IoT-based smart irrigation. Sustainable Energy and
Agriculture Journal, 32(2), 145-160.
- Development of cost-effective IoT solutions
- Integration with AI and blockchain to enhance automation Kumar, S., & Verma, R. (2022). Sustainable water
and security management through blockchain-enabled smart contracts.
Blockchain and IoT in Agriculture, 10(3), 55-70.
- Enhanced energy efficiency through advanced sensor
Lee, T., & Nakamura, Y. (2018). Utilization of LoRaWAN in
networks
large-scale smart irrigation systems. IEEE Transactions on
- Adaptability for various agricultural applications
IoT, 26(5), 132-147.
Lopez, P., & Chen, W. (2021). Efficient water usage with
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Environmental Innovations, 25(5), 200-215. through AI-enhanced irrigation models. International
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Das, M., & Gupta, S. (2020). Data-driven approach to smart
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Gomez, L., & Torres, J. (2020). Edge-based irrigation
systems to reduce dependency on cloud services. Silva, C., & Rodriguez, P. (2019). Advancing agricultural
Sustainable Computing Journal, 16(2), 145-160. water management with LoRaWAN technology.
International Journal of Smart Farming, 21(3), 170-184.
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watering systems for remote agriculture. Journal of Green Wang, H., & Zhang, L. (2021). Machine learning for
Technologies, 19(1), 78-92. predictive watering models in AI-driven smart irrigation.
Journal of Precision Agriculture, 28(3), 156-170.
Kim, J., & Park, S. (2019). Integration of renewable energy

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