Abstract
Agriculture benefits from technological advancements. Adopting technology in agriculture makes life easier and more secure for farmers. Growing vegetables in a greenhouse is a unique farm method. Greenhouses’ major goal is to create good growing conditions for crops while also safeguarding them from of the adverse weather and pests. The idea of this research is to integrate the Internet of Things (IoT) and solar power to monitor and regulate a greenhouse, allowing the farmer to maintain optimum environmental conditions within the greenhouse at any time. In this scenario, the photovoltaic module provides power to Arduino UNO, which is equipped with a LDR, a fire sensor, a temperature sensor, a soil moisture sensor, and a humidity sensor. These sensor readings are used to check day and night circumstances to turn on the light, detect smoke in the greenhouse, turn on the fan to reduce the excessive warmth, enable the water pump to maintain soil moisture level, and spray water to maintain optimal humidity, respectively. These data are sent to the farmer via the Node MCU Wi-Fi module, and these procedures can be automated or controlled using the Blynk app. The green house entrance system uses an RFID-enabled tag as an identifying badge to protect from unauthorized access. The use of photovoltaic modules in the implementation of this system can boost self-sufficiency and lower production costs.
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References
Hoque MDJ, Ahmed MR, Hannan S (2020) An automated greenhouse monitoring and controlling system using sensors and solar power. Eur J Eng Res Sci 5(4):510–515. http://doi.org/10.24018/ejers.2020.5.4.1887
Selmani MO, El khayat M, Guerbaoui M, Ed-Dahhak A, Lachhab A, Bouchikhi B (2019) Towards autonomous greenhouses solar-powered. Procedia Comput Sci 148:495–501. ISSN 1877-0509
Raj JS, Vijitha Ananthi J (2019) Automation using IoT in greenhouse environment. J Inf Technol Digit World 01(01). http://doi.org/10.36548/jitdw.2019.1.005
Khedkar A, Bhise B, Shinde D, Hingane S (2021) Solar powered greenhouse monitoring using IoT. J Sci Technol 06(01). http://doi.org/10.46243/jst.2021.v6.i04.pp254-261. ISSN: 2456-5660
Shirsath DO, Kamble P, Mane R, Kolap A, More RS (2017) IOT based smart greenhouse automation using arduino. Int J Innov Res Comput Sci Technol (IJIRCST) 5(2). http://doi.org/10.21276/ijircst.2017.5.2.4. ISSN: 2347-5552
Sahana B, Sravani DK, Prasad DR (2020) Smart green house monitoring based on IOT. Int J Eng Res Technol (IJERT) 8(14)
Aakanksha A, Anand C, Shameem Akhter S, Nikitha S, Pavan Kumar N (2021) Smart greenhouse automation using solar power. IJCRT 9(6). ISSN: 2320-2882
Gao L, Cheng M, Tang J (2013) A wireless greenhouse monitoring system based on solar energy. TELKOMNIKA Indonesian J Electr Eng 11. http://doi.org/10.11591/telkomnika.v11i9.3305
Ding J, Zhao J, Ma B (2009) Remote monitoring system of temperature and humidity based on GSM. In: 2nd international congress on image and signal processing
Al-Ali AR, Al Nabulsi A, Mukhopadhyay S, Awal MS, Fernandes S, Ailabouni K. IoT-solar energy powered smart farm irrigation system. J Electron Sci Technol. http://doi.org/10.1016/j.jnlest.2020.100017
Hattaraki S, Patil A, Kulkarni S (2020) Integrated water monitoring and control system-IWMCS. In: 2020 IEEE Bangalore humanitarian technology conference (B-HTC), pp 1–5. http://doi.org/10.1109/B-HTC50970.2020.9297890
Devanath S, Hemanth Kumar AR, Shettar R (2019) Design and implementation of IOT based greenhouse environment monitoring and controlling system using arduino platform. Int Res J Eng Technol (IRJET) 06(09)
Yoon C, Huh M, Kang S, Park J, Lee C (2018) Implement smart farm with IoT technology. In: 2018 20th international conference on advanced communication technology (ICACT), pp 749–752. http://doi.org/10.23919/ICACT.2018.8323908
Asolkar PS, Bhadade US (2015) An effective method of controlling the greenhouse and crop monitoring using GSM. In: International conference on computing communication control and automation, pp 214–219
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Hattaraki, S., Jayashree, N.C. (2023). A Solar-Powered IoT System to Monitor and Control Greenhouses-SPISMCG. In: Chatterjee, P., Pamucar, D., Yazdani, M., Panchal, D. (eds) Computational Intelligence for Engineering and Management Applications. Lecture Notes in Electrical Engineering, vol 984. Springer, Singapore. https://doi.org/10.1007/978-981-19-8493-8_35
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DOI: https://doi.org/10.1007/978-981-19-8493-8_35
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