Design and Development of Microcontroller Based Agroponic Agriculture System

Authors

  • Muhammad Johan Mad Ali Universiti Kuala Lumpur, British Malaysian Institute
  • Abdul Malik Mohd Ali Universiti Kuala Lumpur, British Malaysian Institute
  • M. Reyasudin Basir Khan Manipal International University https://orcid.org/0000-0002-9964-6826

DOI:

https://doi.org/10.56532/mjsat.v1i1.5

Keywords:

Agriponic Agriculture System, LoRa, Plant Management System, Greenhouse

Abstract

Currently, the traditional agriculture is being transformed into smart agriculture using the Internet of Things (IoT) technology. An agriculture service platform is being developed to help with environmental monitoring and to improve agricultural management. Various climate condition parameters are vital to be monitored for agriculture for ensuring optimal growth conditions. The crop production regulation, and climate change has negative impact on agriculture and food production due to excess rainfall, temperature changes, and other associated environmental variations. Different type of plants has its own need of fertilization and water where poor management of water and fertilization will lead to unhealthy crops and shorten their lifespan. The goal of this study is to design and develop a plant management system based on sensors and microcontroller. The input of the system includes pH, temperature, and soil moisture alongside real-time clock module. The system uses LoRa for data transmission that will allow the data to be transmitted up to 1 km distance. The system will optimize the plant watering leading to more efficient water usage. Moreover, this system will have a Graphical User Interface (GUI) that will allow user to provide plant watering schedule for the user. This system has been successfully tested based on several experiments. This system can be used for both indoor and outdoor plants

References

“Why Horticulture? | Department of Horticultural Science.” [Online]. Available: https://horticulture.umn.edu/students/ why-horticulture. [Accessed: 15-August-2020].

“(PDF) Implementation IoT in System Monitoring Hydroponic Plant Water Circulation and Control [Online]. Available: https://www.researchgate.net/publication/331479409_Implementation_IoT_in_System_Monitoring_Hydroponic_Plant_Water_Circulation_and_Control [Accessed: 15-August-2020].

“(PDF) Impacts of Climate Change on Agricultural Sustainability and Poverty in Malaysia” [Online]. Available: https://www.researchgate. net/publication/251999636_Impacts_of_Climate_Change_on_Agricultural_Sustainability_and_Poverty_in_Malaysia [Accessed: 30-August-2020]

“(PDF) A Review On Plant Without Soil – Hydroponics” [Online]. Available: https://www.Researchgate.Net/Publication/276320585_ A_Review_On_Plant_Without_Soil_-_Hydroponics [Accessed: 31-August-2020]

Mahzabin, A., Taziz, C. A., Amina, M. H., Gloria, M., & Zishan, M. S. R. (2016). Design and Implementation of an Automatic Irrigation System. Iarjset, 3(10), 159–162. https://doi.org /10.17148/IARJSET .201 6.31030

Nikitha, S., Nandhini, T., Pavithra, K., & A, M. J. K. (2018). A Bluetooth Based Automatic Irrigation System, 587–590.

Overview | DHT11, DHT22 and AM2302 Sensors | Adafruit Learning System. (n.d.). Retrieved May 31, 2019, from https://learn.adafruit .com/dht/overview

Ruan, J., Liao, P., & Dong, C. (2015). The design and research on intelligent fertigation system. Proceedings - 2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2015, 2, 456–459. https://doi.org/10.1109/IHMSC.2015.199

Samsuri, S. F. M., Ahmad, R., & Hussein, M. (2010). Development of nutrient solution mixing process on time-based drip fertigation system. AMS2010: Asia Modelling Symposium 2010 - 4th International Conference on Mathematical Modelling and Computer Simulation, 615–619. https://doi.org/10.1109/AMS.2010.124

Santhiya, P. (n.d.). Smart Irrigation System Using Arduino and Android.

Serbajadi Quality Black Soil. (n.d.). Retrieved November 11, 2019, from https://www.shop.serbajadi.com.my/soil/serbajadi-quality-black-soil-7l

Dagar, R., Som, S., & Khatri, S. K. (2018). Smart Farming – IoT in Agriculture. 2018 International Conference on Inventive Research in Computing Applications (ICIRCA), (Icirca), 1052–1056.

DFRobot. (2018). Capacitive Soil Moisture Sensor, 1–6.

Dinio, C. J. T., Paragon, N. F., Peleña, G. M. A., Valida, A. C., L, M. J., Vizcarra, E. D. Dadios, E. P. (2018). Automated Water Source Scheduling System with Flow Control System. https://doi.org/10.1109/HNICEM.2018.8666253

Dumic, D. (2017). Automatic Plant Watering System via Soil Moisture Sensing by means of Suitable Electronics and its Applications for Anthropological and Medical PurposesNermin Đuzić and Dalibor Đumić Abstract Conclusion and Future, 41(July 2018), 1–4. https://doi.org/10.13140/RG.2.2.27022.87369

Joseph, C., Thirunavuakkarasu, I., Bhaskar, A., & Penujuru, A. (2018). Automated fertigation system for efficient utilization of fertilizer and water. 2017 9th International Conference on Information Technology and Electrical Engineering, ICITEE 2017, 2018-Janua, 1–6. https://doi.org/10.1109/ICITEED.2017.8250474

Vijayasarathi, Mr S and Ilakkiya, M and Roseniee, M and Subhasri, T and Kiruthika, M. (2021). An Intelligent Plant Monitoring and Warning System for Power Plant Based on IOT, International Research Journal of Engineering and Technology (IRJET). Vol 8 (4), pp.260-264

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Published

2021-03-02

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Articles

How to Cite

[1]
“Design and Development of Microcontroller Based Agroponic Agriculture System ”, Malaysian J. Sci. Adv. Tech., vol. 1, no. 1, pp. 26–31, Mar. 2021, doi: 10.56532/mjsat.v1i1.5.