KALIBRASI SENSOR KELEMBABAN TANAH YL-69 UNTUK SISTEM PENGUKURAN KELEMBABAN TANAH BERBASIS ARDUINO UNO
DOI:
https://doi.org/10.37478/optika.v7i1.2691Abstract
Penelitian ini berfokus pada metode kalibrasi sensor kelembaban tanah YL-69 berbasis Arduino Uno. Pada penelitian ini penulis melakukan analisis respon ADC terhadap variasi nilai kelembaban tanah. Analisis menghasilkan sebuah persamaan kalibrasi sensor kelembaban tanah YL-69 yang kemudian digunakan dalam pembuatan kode program pengukuran kelembaban tanah. Hasil pengujian menunjukan bahwa penggunaan persamaan kalibrasi memberikan tingkat akurasi pembacaan nilai kelembaban tanah yang lebih baik bila dibandingkan dengan penggunaan metode mapping ADC.
Downloads
Keywords:
sensor kelembaban tanah YL-69, arduino uno, calibrationReferences
Ansari, S., Deshmukh, R.R., 2017. Estimation of Soil Moisture Content: A Review. International Journal of Theoretical and Applied Mechanics.
Arduino, 2023. Datasheet Arduino Uno. https://docs.arduino.cc/resources/datasheets/A000066-datasheet.pdf
Brahma, M., Goswami, B., 2017. Electrical Methods of Soil Moisture Measurement: A Review. ADBU Journal of Electrical and Electronics Engineering (AJEEE).
Jariyayothin, P., Jeravong-aram, K., Ratanachaijaroen, N., Tantidham, T., Intakot, P., 2018. IoT Backyard: Smart Watering Control System, in: 2018 Seventh ICT International Student Project Conference (ICT-ISPC). Presented at the 2018 Seventh ICT International Student Project Conference (ICT-ISPC), IEEE, Nakhonpathom, pp. 1–6. https://doi.org/10.1109/ICT-ISPC.2018.8523856
Madzhi, N.K., Nor Akhsan, M.A., 2021. Control of Plant Growth by Monitoring Soil Moisture, Temperature and Humidity in Dry Climate. IOP Conf. Ser. Mater. Sci. Eng. 1192, 012027. https://doi.org/10.1088/1757-899X/1192/1/012027
Mohod, A., Yerma, S., Shubham, G., Jain, S., Kudrapwar, S., Ninawe, S., 2022. Automatic Soil Moisturizing System Using IoT. Int. J. Adv. Res. Sci. Commun. Technol.
Nirmala, Anoosha, Nagamani, 2020. Dynamic modeling of a Green House using Arduino. Int. J. Eng. Trends Technol. 68, 42–48. https://doi.org/10.14445/22315381/IJETT-V68I2P208
Phasinam, K., Kassanuk, T., Shinde, P.P., Thakar, C.M., Sharma, D.K., Mohiddin, Md.K., Rahmani, A.W., 2022. Application of IoT and Cloud Computing in Automation of Agriculture Irrigation. J. Food Qual. 2022, 1–8. https://doi.org/10.1155/2022/8285969
Raghuveera, E., Kumar, N.P., Yeswanth, A.S., Pavan, L.S.M., 2019. Soil Moisture Monitoring System Using IOT. International Journal of Innovative Technology and Exploring Engineering (IJITEE).
Saikia, D., Khatoon, R., 2022. Smart monitoring of soil parameters based on IoT. Int. J. Adv. Technol. Eng. Explor. 9. https://doi.org/10.19101/IJATEE.2021.874650
Siregar, B., Azmi Nasution, A., Adlin, L., Andayani, U., Fahmi, F., 2018. Soil Moisture Monitoring System using Wireless Sensor Network. J. Phys. Conf. Ser. 1028, 012058. https://doi.org/10.1088/1742-6596/1028/1/012058
Sudha, Sinha, A., 2015. Effect of Moisture Content in the Sandy, Clay and Loamy Soil using Humidity Sensor YL69. International Journal of Science and Research (IJSR).
Walid, M., Makruf, M., 2020. Analysis and Development of Seawater Density Measurement Algorithm Using Arduino Uno and YL-69 Sensor.Resti Journal.
Wang, Z., Xiong, K., Wu, C., Luo, D., Xiao, J., Shen, C., 2023. Characteristics of Soil Moisture Variation in Agroforestry in Karst Region. Land 12, 347. https://doi.org/10.3390/land12020347
Yu, L., Gao, W., R. Shamshiri, R., Tao, S., Ren, Y., Zhang, Y., Su, G., 2021. Review of research progress on soil moisture sensor technology. Int. J. Agric. Biol. Eng. 14, 32–42. https://doi.org/10.25165/j.ijabe.20211404.6404
Downloads
Published
How to Cite
Issue
Section
License
Jurnal Lesensi