Wireless Powered Moisture Sensors for Smart Agriculture and Pollution Prevention: Opportunities, Challenges, and Future Outlook-Reference-Cited by-同舟云学术

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Wireless Powered Moisture Sensors for Smart Agriculture and Pollution Prevention: Opportunities, Challenges, and Future Outlook

Published:2023-11-26 Issue:4 Volume:9 Page:646-659
ISSN:2198-6592
Container-title:Current Pollution Reports
language:en
Short-container-title:Curr Pollution Rep

Author:

Le Minh Thuy,Pham Chi Dat,Nguyen Thi Phuong Thao,Nguyen Thanh Long,Nguyen Quoc Cuong,Hoang Ngoc Bich,Nghiem Long D.

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Pollution,Waste Management and Disposal,Water Science and Technology

Link

https://link.springer.com/content/pdf/10.1007/s40726-023-00286-3.pdf

Reference68 articles.

1. Lin F, Weng Y, Chen H, Zhuang P. Intelligent greenhouse system based on remote sensing images and machine learning promotes the efficiency of agricultural economic growth. Environ Technol Innov. 2021;24: 101758. https://doi.org/10.1016/j.eti.2021.101758.

2. Bwambale E, Abagale FK, Anornu GK. Smart irrigation monitoring and control strategies for improving water use efficiency in precision agriculture: a review. Agric Water Manag. 2022;260: 107324. https://doi.org/10.1016/j.agwat.2021.107324.

3. Liao R, Zhang S, Zhang X, Wang M, Wu H, Zhangzhong L. Development of smart irrigation systems based on real-time soil moisture data in a greenhouse: proof of concept. Agric Water Manag. 2021;245: 106632. https://doi.org/10.1016/j.agwat.2020.106632.

4. Wheeler WD, Chappell M, van Iersel M, Thomas P. Implementation of soil moisture sensor based automated irrigation in woody ornamental production. J Environ Hortic. 2020;38(1):1–7. https://doi.org/10.24266/0738-2898-38.1.1.

5. Davis AM, Pearson RG, Brodie JE, Butler B, Davis AM, Pearson RG, et al. Review and conceptual models of agricultural impacts and water quality in waterways of the Great Barrier Reef catchment area. Mar Freshw Res. 2016;68(1):1–19. https://doi.org/10.1071/MF15301.

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