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Intelligent Environment Monitoring and Control System for Plant Growth

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Mobile Ad-hoc and Sensor Networks (MSN 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 747))

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Abstract

Indoor planting can purify the air, beautify the environment, satisfy people by closing to the nature and farming. However, the plants are easy to stop growing or even to die due to the lack of proper environment situations, such as lack of water or sunlight. This paper leverages the Internet of Things (IoT) and cloud computing technology to monitor the light intensity, air temperature and soil humidity of indoor plants. The plant growth condition and environment situation are also reflected to the user’s smartphone and stored in the cloud. Outdoor users can also control the water pump to irrigate the plants and LED to add light supply via their smartphones. With our prototype, our system accurately monitors the environment and intelligently controls the plant growth.

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References

  1. Deqin, L., Yunxia, D., Shuwen, Z., Xiaohang, W.: Quantifying parameter sensitivity and calibration in simulating soil temperature and moisture. Chin. J. Atmos. 39(5), 991–1010 (2015)

    Google Scholar 

  2. Qiaosheng, G.: Environmental requirements for medicinal plant growth and development, China News of Traditional Chinese Medicine, 19 June 2002

    Google Scholar 

  3. Xiangzeng, X., Jinyan, Z., Guanghui, Z., Guangqiang, L.: Effects of light intensity on photosynthetic capacity and light energy allocation in Panax notoginseng. Chin. J. Appl. Ecol. 1–14 (2017)

    Google Scholar 

  4. Cong, L., Tian, T., Shan, L., Liang, Yu.: Growth response of Chineses woody plant seedlings to different lighy intensities. Acta Ecol. Sin. 38(2), 1–8 (2018)

    Google Scholar 

  5. Beibei, G.: Study of crop growth environment simulation system, Tianjin University of Technology and Education (2013)

    Google Scholar 

  6. Juan, X., Yi, C., Fei, T., Chuntao, L.: The influence of environmental factors on flower growth and family flower - growing techniques. J. Anhui Agric. Sci. 31(4), 656–658 (2003)

    Google Scholar 

  7. Gao, R., Zhao, M., Ye, T., Ye, F., Luo, G., Wang, Y., Bian, K., Wang, T., Li, X.: Multi-story Indoor floor plan reconstruction via mobile crowdsensing. IEEE Trans. Mob. Comput. 15(6), 1427–1442 (2016)

    Article  Google Scholar 

  8. Gao, R., Tian, Y., Ye, F., Luo, G., Bian, K., Wang, Y., Wang, T., Li, X.: Sextant: towards ubiquitous indoor localization service by photo-taking of the environment. IEEE Trans. Mob. Comput. 15(2), 460–474 (2016)

    Article  Google Scholar 

  9. Gao, R., Zhao, M., Ye, T., Ye, F., Wang, Y., Luo, G.: Smartphone-based real time vehicle tracking in indoor parking structures. IEEE Trans. Mob. Comput. 16(7), 2023–2036 (2017)

    Article  Google Scholar 

  10. Gao, R., Zhou, B., Ye, F., Wang, Y.: Knitter: fast, resilient single-user indoor floor plan construction. In: Proceedings of IEEE INFOCOM (2017)

    Google Scholar 

  11. Gao, R., Zhao, M., Ye, T., Ye, F., Wang, Y., Bian, K., Wang, T., Li, X.: Jigsaw: indoor floor plan reconstruction via mobile crowdsensing. In: Proceedings of ACM MobiCom (2014)

    Google Scholar 

  12. Zhou, B., Chen, X., Hu, X., Ren, R., Tan, X., Fang, X., Xia, S.: A Bluetooth low energy approach for monitoring electrocardiography and respiration. In: Proceedings of IEEE Healthcom (2013)

    Google Scholar 

  13. Zhou, B., Elbadry, M., Gao, R., Ye, F.: BatMapper: acoustic sensing based indoor floor plan construction using smartphones. In: Proceedings of ACM MobiSys (2017)

    Google Scholar 

  14. Zhou, B., Elbadry, M., Gao, R., Ye, F.: BatTracker: high precision infrastructure-free mobile device tracking in indoor environments. In: Proceedings of ACM SenSys (2017)

    Google Scholar 

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Correspondence to Wenjuan Song .

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Song, W., Zhou, B., Ni, S. (2018). Intelligent Environment Monitoring and Control System for Plant Growth. In: Zhu, L., Zhong, S. (eds) Mobile Ad-hoc and Sensor Networks. MSN 2017. Communications in Computer and Information Science, vol 747. Springer, Singapore. https://doi.org/10.1007/978-981-10-8890-2_36

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  • DOI: https://doi.org/10.1007/978-981-10-8890-2_36

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8889-6

  • Online ISBN: 978-981-10-8890-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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