Abstract
The Internet of Things plays role in all arenas. In this manuscript, we have to consider the growing flowers in a garden, vegetable, fruit, and other farming. We are considering the greenhouse which aims to introduce the productions of yields. Of course, the growth of plants, and farms are vital and need of everyone, keeping in view of this manuscript is aimed to discuss and study in line of IoT and agriculture. In this work, we propose a greenhouse automation system based on Arduino for the monitoring of temperature, humidity, and moisture of the soil. Arduino can obtain data on the environmental conditions of the greenhouse from various sensors and transfer the data to the ESP8266 module. Consequently, it's possible to change the state of greenhouse control devices like fans, lamp heater, and water pump in obedience to the necessary conditions of the crops. These parameters are modified by the type of plant to maximize their growth, the Aloe Vera plant was used in this project. For the architecture of the Internet of Things was used Blynk coming from the embedded board and the communication link with the Blynk Server was through the Wi-Fi protocol. Results indicate that the system allows the control and monitoring in real-time of the greenhouse correctly. As a future improvement, it is intended with the data obtained, to search for the best optimal conditions for plant growth through artificial intelligence.
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References
Mohanty, N.R., Patil, C.Y.: Wireless sensor networks design for greenhouse automation. Int. J. Eng. Innov. Technol. 3 (2013)
Wan, Z., Song, Y., Cao, Z.: Environment dynamic monitoring and remote control of greenhouse with ESP8266 NodeMCU. In: Proceedings of 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019 (2019)
Taha, F.M.A., Osman, A.A., Awadalkareem, S.D., Omer, M.S.A., Saadaldeen, R.S.M.: A Design of a Remote Greenhouse Monitoring and Controlling System Based on Internet of Things. In: 2018 International Conference on Computer, Control, Electrical, and Electronics Engineering, ICCCEEE 2018 (2018)
Gutiérrez, E., Gutiérrez, S., Becerril, J.A., Rodríguez, F.: Low Cost Prototype for Monitoring and Remote Control in Greenhouse for Homes. In: 2018 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC 2018) (2018)
Lara, J.C.D., Gutierrez, S., Rodríguez, F.: Low Cost Greenhouse Monitoring System Based on Internet of Things. In: 2019 IEEE International Conference on Engineering Veracruz (ICEV), pp. 1–6 (2019)
Soto-Zarazúa, G.M., Romero-Archuleta, B.A., Mercado-Luna, A., Toledano-Ayala, M., Rico-García, E., Peniche-Vera, R.R., Herrera-Ruiz, G.: Trends in automated systems development for greenhouse horticulture. Int. J. Agric. Res. (2011). https://doi.org/10.3923/ijar.2011.1.9
Biswas, B.C.: Cultivation of medicinal plant. Indian Fertil. Mark. News. 41, 1–4 (2010)
Manvitha, K., Bidya, B.: Aloe vera: a wonder plant its history, cultivation and medicinal uses. J. Pharmacogn. Phytochem. (2014)
Rajeswari, R., Umadevi, M., Rahale, C.S., Selvavenkadesh, S., Kumar, K.S., Bhowmik, D.: Aloe vera: The miracle plant its medicinal and traditional uses in India. J. Pharmacogn. Phytochem. (2012)
Faris, D.M., Mahmood, M.B.: Data acquisition of greenhouse using arduino. J. Babylon Univ. Appl., Sci. (2014)
Vimal, P.V., Shivaprakasha, K.S.: IOT based greenhouse environment monitoring and controlling system using Arduino platform. In: 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2017 (2018)
Kodali, R.K., Mahesh, K.S.: Low cost ambient monitoring using ESP8266. In: Proceedings of the 2016 2nd International Conference on Contemporary Computing and Informatics, IC3I 2016 (2016)
Efficiency, E., Circuit, E., Dependent, L., Circuits, R.: Light dependent resistor (ldr). Energy (2010)
Grove—Water Sensor. https://wiki.seeedstudio.com/Grove-Water_Sensor/
Mohan N., Undeland T.M., Robbins W.P., Power electronics converters, applications and design, 3rd edn, Wiley (2002)
Florez-Tapia, A.M., Ibanez, F.M., Vadillo, J., Elosegui, I., Echeverria, J.M.: Small signal modeling and transient analysis of a Trans quasi-Z-source inverter. Electr. Power Syst. Res. (2017). https://doi.org/10.1016/j.epsr.2016.10.066
Ibanez, F.M.: Bidirectional Series Resonant DC/AC Converter for Energy Storage Systems. IEEE Trans. Power Electron. 34, 3429–3444 (2019). https://doi.org/10.1109/TPEL.2018.2854924
Ibanez, F., Echeverria, J.M., Vadillo, J., Fontan, L.: High-current rectifier topology applied to a 4-kW bidirectional DC–DC converter. IEEE Trans. Ind. Appl. (2014). https://doi.org/10.1109/TIA.2013.2271471
B. Inc., “Blynk,” Blynk Inc. https://www.blynk.cc.
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Gutiérrez, S., Rocha, R., Rendón, D., Bernabé, J.C., Aguilera, L., Solanki, V.K. (2021). Tracking Greenhouses Farming Based on Internet of Technology. In: Balas, V.E., Solanki, V.K., Kumar, R. (eds) Further Advances in Internet of Things in Biomedical and Cyber Physical Systems. Intelligent Systems Reference Library, vol 193. Springer, Cham. https://doi.org/10.1007/978-3-030-57835-0_18
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