A Review of IoT Implementations in Environment and Agriculture
Abstract
This paper reviews a span of literatures in the implementation of IoT systems in Environment and agriculture. The motivation for this literature study is to provide insights on various sub domains in the above mentioned fields and the research challenges listed in the system designs. The literatures studied are from various sources of internet and constrained to those available in English. These methodologies are explained in brief about the theoretical architecture, middleware APIs, sensors used, actuator modules connected, data collected and the processing of data. This information is compiled to study the challenges and problems available. The discussion of literature studied lists the potential opportunities and challenges with the research in IoT system implementation in Environment protection and agriculture.
How to cite this article:
Joseph FJJ. A Review of IoT Implementations in Environment and Agriculture. J Adv Res Embed Sys 2019; 6(3&4): 29-33.
References
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2. Kori S, Ayatti S, Lalbeg V, Angadi A. Smart Live Monitoring of Aquarium - An IoT Application. In: Information and Communication Technology for Intelligent Systems. Springer; 2019. p. 1–9.
3. Thilagam. J ST, Babu TS, Reddy BS. Weather monitoring system application using LabVIEW. In: 2018 2nd International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 2018 2nd International Conference on. 2018. p. 52–5.
4. Ryu M, Yun J, Miao T, Ahn I-Y, Choi S-C, Kim J. Design and implementation of a connected farm for smart farming system. In: 2015 IEEE SENSORS. 2015. p. 1–4.
5. Yoon C, Huh M, Kang S-G, Park J, Lee C. Implement smart farm with IoT technology. In: 2018 20th International Conference on Advanced Communication Technology (ICACT). 2018. p. 749–52.
6. O’Grady MJ, O’Hare GMP. Modelling the smart farm. Inf Process Agric. 2017;4(3):179–87.
7. TongKe F. Smart agriculture based on cloud computing and IOT. J Converg Inf Technol. 2013;8(2).
8. Chieochan O, Saokaew A, Boonchieng E. IOT for smart farm: A case study of the Lingzhi mushroom farm at Maejo University. In: 2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE). 2017. p. 1–6.
9. Muangprathub J, Boonnam N, Kajornkasirat S, Lekbangpong N, Wanichsombat A, Nillaor P. IoT and agriculture data analysis for smart farm. Comput Electron Agric. 2019;156:467–74.
10. Kamilaris A, Gao F, Prenafeta-Boldú FX, Ali MI. Agri-IoT: A semantic framework for Internet of Things-enabled smart farming applications. In: 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT). 2016. p. 442–7.
11. Baranwal T, Pateriya PK, others. Development of IoT based smart security and monitoring devices for agriculture. In: 2016 6th International Conference-Cloud System and Big Data Engineering (Confluence). 2016. p. 597–602.
12. Gia TN, Qingqing L, Queralta JP, Zou Z, Tenhunen H, Westerlund T. Edge AI in Smart Farming IoT: CNNs at the Edge and Fog Computing with LoRa. IEEE AFRICON-2019. 2019;
13. Keswani B, Mohapatra AG, Mohanty A, Khanna A, Rodrigues JJPC, Gupta D, et al. Adapting weather conditions based IoT enabled smart irrigation technique in precision agriculture mechanisms. Neural Comput Appl. 2019;31(1):277–92.
14. Ruengittinun S, Phongsamsuan S, Sureeratanakorn P. Applied internet of thing for smart hydroponic farming ecosystem (HFE). In: 2017 10th International Conference on Ubi-media Computing and Workshops (Ubi-Media). 2017. p. 1–4.
15. Karimanzira D, Rauschenbach T. Enhancing aquaponics management with IoT-based Predictive Analytics for efficient information utilization. Inf Process Agric. 2019;
16. Defa RP, Ramdhani M, Priramadhi RA, Aprillia BS. Automatic controlling system and IoT based monitoring for pH rate on the aquaponics system. In: Journal of Physics: Conference Series. 2019. p. 12072.
17. Xu G, Shi Y, Sun X, Shen W. Internet of things in marine environment monitoring: A review. Sensors. 2019;19(7):1711.
18. Karpagam M, Prabha D. Underwater Wireless Sensor Network Based Marine Environment Monitoring System. Int J Ocean Oceanogr. 2019;13(2):269–76.
19. John Joseph FJ. IoT Based Weather Monitoring System for Effective Analytics. Int J Eng Adv Technol. 2019;8(4):311–5.
20. John Joseph FJ. Empirical Dominance of Features for Predictive Analytics of Particulate Matter Pollution in Thailand. In: 5th Thai-Nichi Institute of Technology Academic Conference TNIAC 2019. 2019. p. 385–8.
21. John Joseph FJ, T R, C JJ. Classification of correlated subspaces using HoVer representation of Census Data. In: 2011 International Conference on Emerging Trends in Electrical and Computer Technology [Internet]. Ieee; 2011. p. 906–11. Available from: http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5760248
22. John Joseph FJ. IoT-Based Unified Approach to Predict Particulate Matter Pollution in Thailand. In: The Role of IoT and Blockchain Techniques and Applications. 2019.
23. Xiaojun C, Xianpeng L, Peng X. IOT-based air pollution monitoring and forecasting system. In: 2015 International Conference on Computer and Computational Sciences, ICCCS 2015. IEEE; 2015. p. 257–60.
24. Siva K, Ram S, Gupta ANPS. IoT based Data Logger System for weather monitoring using Wireless sensor networks. Int J Eng Trends Technol. 2016;32(2):71–5.
25. Shah J, Mishra B. IoT enabled environmental monitoring system for smart cities. In: 2016 International Conference on Internet of Things and Applications (IOTA). 2016. p. 383–8.
26. Math RKM, Dharwadkar N V. IoT Based Low-cost Weather Station and Monitoring System for Precision Agriculture in India. In: 2018 2nd International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 2018 2nd International Conference on. 2018. p. 81–6.
27. Shete R, Agrawal S. IoT Based Urban Climate Monitoring using Raspberry Pi. In: International Conference on Communication and Signal Processing. 2016. p. 2008–12.
28. Okamoto Y. A Handmade Seismograph System and its Seismograms-Make Your Own Seismograph!-Yoshio Okamoto (Osaka Prefectural Education Center, Japan).
Published
2019-08-06
How to Cite
JOSEPH, Ferdin Joe John.
A Review of IoT Implementations in Environment and Agriculture.
Journal of Advanced Research in Embedded System, [S.l.], v. 6, n. 3 & 4, p. 29-33, aug. 2019.
ISSN 2395-3802.
Available at: <http://thejournalshouse.com/index.php/ADR-Journal-Embedded-Systems/article/view/231>. Date accessed: 15 jan. 2025.
Section
Articles
