Developing a Smart Farming System in a Forpus Rearing House for Convenience Beginner Farmers by Using a Smartphone to Control
Abstract
The purposes of this research are to develop a smart farming system that is convenient for beginner farmers, can automatically adjust the temperature and humidity with the Internet of Things, and to test the performance of temperature and humidity control by smart phone. Building a closed breeding house for designing temperature and humidity through the Smart Farming application. Temperature and humidity can be adjusted via mobile phone with Internet of Things technology. To maintain the temperature and humidity levels at the set values of 30–33 degrees Celsius and 55–65 percent. Which is the temperature and humidity suitable for breeding forpus housed in cage conditions. The results found that the temperature and humidity data inside and outside the house from 18 November 2022 to 23 February 2023 with the SHT30 sensor. Information relating to both internal and external temperature and humidity levels was updated and recorded every five minutes and sent to respective Google Sheets. The external temperature and humidity the house will change depending on the weather of each season. This makes a beginner breeder does not have expertise or can't see the bird's illness cause loss. The temperature and humidity control system inside the house can be controlled with the Internet of Things (IoT) technology automatically and efficiently through a smart phone accurately and can operate properly at the acceptable level.
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References
Astutik, Y., Murad, Putra, G.M.D., & Setiawati, D.A. (2019). Remote monitoring systems in greenhouse based on NodeMCU ESP8266 microcontroller and Android. In AIP Conference Proceedings. 2199(1) : 030003.
Balducci, F., Impedovo, D., & Pirlo, G. (2018). Machine learning applications on agricultural datasets for smart farm enhancement. Machines. 6(3) : 38.
Caria, M., Schudrowitz, J., Jukan, A., & Kemper, N. (2017). Smart farm computing systems for animal welfare monitoring. In 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) (pp. 152-157). IEEE.
Kaewmard, N., & Saiyod, S. (2014, October). Sensor data collection and irrigation control on vegetable crop using smart phone and wireless sensor networks for smart farm. In 2014 IEEE Conference on Wireless Sensors (ICWiSE) (pp. 106-112). IEEE.
Muangprathub, J., Boonnam, N., Kajornkasirat, S., Lekbangpong, N., Wanichsombat, A., & Nillaor, P. (2019). IoT and agriculture data analysis for smart farm. Computers and electronics in agriculture. 156 : 467-474.
Pitakphongmetha, J., Boonnam, N., Wongkoon, S., Horanont, T., Somkiadcharoen, D., & Prapakornpilai, J. (2016, December). Internet of things for planting in smart farm hydroponics style. In 2016 International Computer Science and Engineering Conference (ICSEC) (pp. 1-5). IEEE.
Sariwongchan R. (2012). Blossom-headed Parakeet: Raising and caring baby parrots. Searched when March 25, 2022, from https://www.dnp.go.th/fca16/file/lev5dabk6mzw27v.pdf.
Serikul, P., Nakpong, N., & Nakjuatong, N. (2018). Smart farm monitoring via the Blynk IoT platform: case study: humidity monitoring and data recording. In 2018 16th International Conference on ICT and Knowledge Engineering (ICT&KE) (pp. 1-6). IEEE.
Srivastava, P., Bajaj, M., & Rana, A.S. (2018, February). Overview of ESP8266 Wi-Fi module based smart irrigation system using IOT. In 2018 Fourth International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB) (pp. 1-5). IEEE.