Raspberry Pi-Based Farming Automation and Monitoring System using Automatic Weather System (AWS) (Case Study: Chili Plants)

  • Authors

    • Erfan Rohadi
    • Raka Admiral Abdurrahman
    • Ekojono .
    • Rosa Andrie Asmara
    • Indrazno Siradjuddin
    • Ferdian Ronilaya
    • Awan Setiawan
    2018-12-01
    https://doi.org/10.14419/ijet.v7i4.44.26977
  • Automation, Chili Plants, Internet of Things, Raspberry Pi, Sensors

  • Recently, The Internet of Things (IoT) has been implemented and become an interesting topic for discussion. IoT is a method that aims to maximize the benefits of Internet connectivity to transfer and process data or information through an internet network wirelessly, virtual and autonomous. One of the IoT's utilization is automation system. The automation system generally uses a timer for the plant watering process. The use of timers aims to water the plants routinely without human assistance. The development of this automation system begins with the making of the prototype of chili land in the field 5 x 2.5 meters, then compile the required components and how it works. Further programming of sensors to Raspberry Pi as a controller in the system based on the conditions that have been set and changes in temperature received by the sensor. As a result, the system has been successfully done automatic watering, both on a regular basis (at 06.00 and 18.00) and cooling watering. Cooling is done if the temperature exceeds more than 30 degrees Celsius. The automation system promises to be applied to the utilization of land around the house.

     

     

  • References

    1. [1] K. Claveria, “13 Stunning Stats on The Internet of Thingsâ€, 28 April 2017. [Online]. Available: https://www.visioncritical.com/internet-of-things-stats/. [Accessed: 16 April 2018].

      [2] Badan Pusat Statistik, “Istilah Pertanian dan Pertambanganâ€, [Online]. Available: https://www.bps.go.id/subject/55/hortikultura.html#subjekViewTab1. [Accessed: 16 April 2018].

      [3] “Produksi Cabai Besar, Cabai Rawit, Dan Bawang Rawit Tahun 2014â€, Berita Resmi Statistik, (2015), pp: 1-2, Jakarta: Badan Pusat Statistik.

      [4] Suwandi, et.al, “Outlook Cabaiâ€, (2016), pp: 17-18, Jakarta: Pusat Data dan Sistem Informasi Pertanian Sekretariat Jenderal Kemen-terian Pertanian.

      [5] Winarno F.G, et.al, “Produksi dan Perdagangan Cabaiâ€, Cabai Potensi Pengembangan Agrobisnis dan Agroindustri, (2017), pp: 18-19, Jakarta: PT. Gramedia Pustaka Utama.

      [6] S Janardhanarao, et.al, “Speech intelligibility improvement based on adaptive exponential smoothing factorâ€, Vol. 7, No 2.8, (2018), pp: 456-460, available online: https://www.sciencepubco.com/index.php/ijet/article/view/10483/3792, last visit: 30.10.2018

      [7] Nur Adilah Abd Jalil, et.al. “Electricity Load Demand Forecasting Using Exponential Smoothing Methodsâ€, Vol. 22, No. 11, (2013), pp: 1540-1543, available online: https://pdfs.semanticscholar.org/d938/01c6d70a050d126f30d973b1398c0c8b0775.pdf, last visit: 30.10.2018

      [8] Dazhi Yang, et.al. “Forecasting of global horizontal irradiance by exponential smoothing, using decompositionsâ€, Vol. 81, (2015), pp: 111-119, available online: https://www.sciencedirect.com/science/article/abs/pii/S0360544214013528, last visit: 30.08.2018

      [9] Hobby, M., et.al. “The Fennec Automatic Weather Station (AWS) Network: Monitoring the Saharan Climate Systemâ€, Vol. 30, No. 4, (2013), pp: 709-724, available online: https://journals.ametsoc.org/doi/full/10.1175/JTECH-D-12-00037.1, last visit: 30.10.2018

      [10] J. Kaivosoja, et.al. “Automatic control of farming opera-tions based on spatial web servicesâ€, Vol. 100, (2014), pp: 110-115, available online: https://www.sciencedirect.com/science/article/pii/S0168169913002731, last visit: 30.08.2018

      [11] Jayavardhana Gubbi, et.al. “Internet of Things (IoT): A vision, architectural elements, and future directionsâ€, Vol. 29, No. 7, (2013), pp: 1645-1660, available online: https://www.sciencedirect.com/science/article/pii/S0167739X13000241, last visit: 30.10.2018

      [12] Gunturi, Venkata Naga Rohit, “Micro Controller Based Automatic Plant Irrigation Systemâ€, International Journal of Advancements in Research & Technology, Vol. 2, No. 4, (2013), pp. 194-198, avail-able online: http://retawprojects.com/uploads/Micro-Controller-Based-Automatic-Plant-Irrigation-System.pdf, last visit: 7.11.2018

      [13] Viktorianus Ryan Juniardy, Dedi Triyanto, and Yulrio Brianorman, “Prototype Automatic Water Sprayer Tools in Gardenpalm Seed-ing Based on Humidity Sensors and ATmega8 AVR Microcontrol-lerâ€, Jurnal Coding Sistem Komputer Untan, Vol. 2, No. 3, (2014), pp. 1-10, available online: http://jurnal.untan.ac.id/index.php/jcskommipa/article/view/7614/7733, last visit: 7.11.2018

      [14] Sharan, Roneel V., “Development of a Remote Automatic Weath-er Station with a PC- based Data Loggerâ€, International Journal of Hybrid Information Technology, Vol. 7, No. 1, (2014), pp. 232-240, available online: http://www.sersc.org/journals/IJHIT/vol7_no1_2014/19.pdf, last visit: 7.11.2018

      [15] Divani, Drashti, “Automated Plant Watering Systemâ€, International Conference on Computation of Power, Energy Information and Communication (ICCPEIC), pp. 180-182, available online: https://ieeexplore.ieee.org/abstract/document/7557245, last visit: 7.11.2018

  • Downloads

  • How to Cite

    Rohadi, E., Admiral Abdurrahman, R., ., E., Andrie Asmara, R., Siradjuddin, I., Ronilaya, F., & Setiawan, A. (2018). Raspberry Pi-Based Farming Automation and Monitoring System using Automatic Weather System (AWS) (Case Study: Chili Plants). International Journal of Engineering & Technology, 7(4.44), 172-176. https://doi.org/10.14419/ijet.v7i4.44.26977