Online Guidance System Design for Smart Greenhouse

Authors

  • Glen Mark Bonde Sam Ratulangi University
  • Meicsy E.I. Najoan
  • Stanley D. S. Karouw

DOI:

https://doi.org/10.35793/jti.v16i1.31995

Abstract

An implementation of technology in agriculture is a smart greenhouse. Smart greenhouse can set the condition inside the greenhouse automatically or remotely to provide the optimal environment for the plant we have in the greenhouse to grow. The online accompaniment system for smart greenhouse is a web based application for monitoring and even controlling remotely or automatically the condition inside the smart greenhouse. The parameter of the environmental conditions is controlled by an agricultural expert so the control actions can be done correctly with the help of real time environmental conditions data inside the greenhouse. If the expert decides to run the system automatically, the expert will only control the parameter and the schedule for the system to make an action to keep the environmental condition inside the greenhouse under the boundary which have been set by the expert. If the expert decides to run the system remotely, the expert can manually control the action to be taken inside the smart greenhouse. This application provides a service for the farmer and the agricultural expert to discuss about farming process. The environmental condition in the smart greenhouse data presented in graphs so it can be easy to understand the data.

References

T. K.. Hariadi. (2007). Sistem Pengendalian Suhu, Kelembaban dan Cahaya dalam Rumah Kaca. Jurnal Ilmiah Semesta Teknika, [Online] 10 (1), pp. 82-93. Available: https://journal.umy.ac.id/index.php/st/article/viewFile/856/965

Eman, Juwita Janeke; Jenny Baroleh; Agnes E. Lobo (2017). Peran Pendamping Terhadap Pemberdayaan Kelompok tani Kakao di Kabupaten Bolaang Mangondow Utara. Jurnal Agri-Sosio-Ekonomi Unsrat. [Online] 10 (1), pp. 82-93. Available: https://jurnal.uns.ac.id/agritexts/article/view/18562

Badan Pusat Statistik (2017, Nov 30). Survei Angkatan Kerja Nasional (Sakernas) [Online]. Available: https://www.bps.go.id/publication/2017/11/30/0daa04d8d9e8e30e43a55d1a/keadaan-angkatan-kerja-di-indonesia-agustus-2017.html

Castañeda-Miranda, A., & Castaño, V. M. (2017). Smart frost control in greenhouses by neural networks models. Computers and Electronics in Agriculture, 137, 102–114. doi:10.1016/j.compag.2017.03.024

Doshi, J., Patel, T., & Bharti, S. kumar. (2019). Smart Farming using IoT, a solution for optimally monitoring farming conditions. Procedia Computer Science, 160, 746–751. doi:10.1016/j.procs.2019.11.016

Sadowski, S., & Spachos, P. (2020). Wireless technologies for smart agricultural monitoring using internet of things devices with energy harvesting capabilities. Computers and Electronics in Agriculture, 172, 105338. doi:10.1016/j.compag.2020.105338

Mohanraj, I., Ashokumar, K., & Naren, J. (2016). Field Monitoring and Automation Using IOT in Agriculture Domain. Procedia Computer Science, 93, 931–939. doi:10.1016/j.procs.2016.07.275

Pathak, A., AmazUddin, M., Abedin, M. J., Andersson, K., Mustafa, R., & Hossain, M. S. (2019). IoT based Smart System to Support Agricultural Parameters: A Case Study. Procedia Computer Science, 155, 648–653. doi:10.1016/j.procs.2019.08.092

R. K. Kodali, V. Jain, and S. Karagwal, “IoT based smart greenhouse,†IEEE Reg. 10 Humanit. Technol. Conf. 2016, R10-HTC 2016 - Proc., no. October 2017, 2017.

Fieldung, R., et al. 1999. “Hypertext Transfer Protocol†-- HTTP/1.1 http://www.uetf.org/rfc/rfc/2616.txt,

Halfacree, G. 2018 The official Raspberry PI Beginner's guide Raspberry Pi Ltd, Cambridge

Sugiyono. (2013). Metode Penelitian Kuantitatif, Kualitatif dan R&D. Bandung: Alfabeta.CV

Downloads

Published

2021-01-27