International Journal of Applied Science and Engineering
Published by Chaoyang University of Technology

Shu-Ching Wang1*, Wei-Ling Lin1,2, Chun-Hung Hsieh2, Mao-Lun Chiang3, Tung-Shou Chen4

1 Department of Information Management, Chaoyang University of Technology, Taichung City, Taiwan
2 Department of Information Management, National Taichung University of Science and Technology, Taichung City, Taiwan
3 Department of Information and Communication Engineering, Chaoyang University of Technology, Taichung City, Taiwan
4 Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taichung City, Taiwan

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ABSTRACT

The abnormal climatic changes due to global warming causes damage to crops. Uncontrollable factors make it difficult for farmers to use conventional methods for farming. Furthermore, with the aging population and the reluctance of the younger generation to be devoted to farming jobs that require a large amount of physical work, there is a problem of global food shortage. Therefore, several countries have invested in the development of science and technology in agriculture, expecting to promote the overall development of agricultural production through the Agricultural Internet of Things (AIoT). AIoT is a highly integrated and comprehensive application of a new generation of information technology in the agricultural field. In this study, the currently popular Internet of Things (IoT) is used to build a smart greenhouse. To solve the problem of farmers not understanding the operation of the information interface, this study proposes an IoT-based smart voice control architecture, which details the operation of the voice system architecture. It successfully replaces the conventional unfriendly operation interface and is generally recognized by users, which lowers the barrier of entry with respect to of science and technology for those who are willing to devote themselves into the development of scientific agriculture, inspires a wide range of applications, and effectively improves the production efficiency of agriculture.


Keywords: Internet of Things, Aquaponics system, Smart agriculture, Precision agriculture.


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REFERENCES

  1. Chiang, F.S., Sun, C.H., Lin, C.H. 2004. The impact of Taiwan's WTO entry on its domestic agriculture sector. Review of Urban & Regional Development Studies, 16, 1–13.

  2. Gandomi, A., Haider, M. 2015. Beyond the hype: Big data concepts, methods, and analytics. International journal of information management, 35, 137–144.

  3. Gebbers, R., Adamchuk, V.I. 2010. Precision agriculture and food security. Science, 327, 828–831.

  4. Jones, F.G.W. 1975. Accumulated temperature and rainfall as measures of nematode development and activity. Nematologica, 21, 62–70.

  5. Karl, T.R., Trenberth, K.E. 2003. Modern global climate change. Science, 302, 1719–1723.

  6. Li, S., Xu, L.D., Zhao, S. 2015. The internet of things: a survey. Information Systems Frontiers, 17, 243.

  7. Liu, Y., Han, W., Zhang, Y., Li, L., Wang, J., Zheng, L. 2016. An Internet-of-Things solution for food safety and quality control: A pilot project in China. Journal of Industrial Information Integration, 3, 1–7.

  8. Mitchell, J.F. 1989. The “greenhouse” effect and climate change. Reviews of Geophysics, 27, 115–139.

  9. National Development Commission. Republic of China population estimate, 2018. (22 September 2020).

  10. Speare, Jr., A., Speare, M.C., Lin, H.S. 1973. Urbanization, non-familial work, education, and fertility in Taiwan. Population Studies, 27, 323–334.

  11. Stojkoska, B.L.R., Trivodaliev, K.V. 2017. A review of internet of things for smart home: Challenges and solutions. Journal of Cleaner Production, 140, 1454–1464.

  12. Suma, N., Samson, S.R., Saranya, S., Shanmugapriya, G., Subhashri, R. 2017. IoT based smart agriculture monitoring system. International Journal on Recent and Innovation Trends in computing and communication, 5, 177–181.

  13. Visualization of Agricultural Statistics, 2020. Council of agriculture executive Yuan. https://statview.coa.gov.tw/ aqsys_on/importantArgiGoal_lv3_1_6_3_1.html, (22 September 2020).

  14. Wang, S.C., Lin, W.L., Hsieh, C.H. 2020. To Improve the Production of Agricultural using IoT-based Aquaponics System. International Journal of Applied Science and Engineering, 17, 207–222.

  15. Yang, Z., Ding, Y., Hao, K., Cai, X., 2019. An adaptive immune algorithm for service-oriented agricultural Internet of Things. Neurocomputing, 344, 3–12.

  16. Yaqoob, I., Hashem, I.A.T., Ahmed, A., Kazmi, S.A., Hong, C.S. 2019. Internet of things forensics: Recent advances, taxonomy, requirements, and open challenges. Future Generation Computer Systems, 92, 265–275.


ARTICLE INFORMATION

Received: 2020-10-17

Accepted: 2020-10-26
Available Online: 2021-03-01


Cite this article:

Wang, S.-C., Lin, W.-L., Hsieh, C.-H., Chiang, M.-L., Chen, T.-S. 2021. The enhancement of agricultural productivity using the intelligent IoT. International Journal of Applied Science and Engineering, 18, 2020255. https://doi.org/10.6703/IJASE.202103_18(1).005

  Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

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