IoT Prototype Measuring Plant Height in Real-Time

Penulis

  • Moh. Erkamim Universitas Tunas Pembangunan Surakarta, Surakarta, Indonesia
  • Vera Wati Universitas Tunas Pembangunan Surakarta, Surakarta, Indonesia
  • Sapto Priyadi Universitas Tunas Pembangunan Surakarta, Surakarta, Indonesia

DOI:

https://doi.org/10.23887/jstundiksha.v12i2.53054

Kata Kunci:

IoT, sensor ultrasonic, microcontroller, plant growth, smart farming

Abstrak

Physically, development of plants will experience physical changes, one of which is the height of the plant. Monitoring activities will certainly be effective with the help of technology. The utilization of IoT is a technological breakthrough in that multitasking can be used for monitoring and sharing data simultaneously. So to support growth observation activities, this study aims to implement an IoT-based prototype modeling tool with ultrasonic sensors embedded in the NodeMCU microcontroller which is integrated with the database server. Modeling is used to analyze the workings of measuring plant height, involving case studies of mustard plant growth which are interpreted descriptively based on sensor capture height which is compared with expert-validated original observations. The research method used is quantitative data processing in the form of comparison charts. The data obtained in real-time by accessing the website address is available so that the data records are stored in the database server for as much as 1071 data for 33 days with 5 storage sessions a day. The results of the IoT prototype modeling managed to capture altitude data, with a comparison presentation between the height of the original plant and the sensor capture of 54.7% valid data without any difference. The conclusion from this study, there are still quite a lot of differences in the comparison of the two. This is due to modeling with improper sensor placement, so that it is detected outside the boundaries between predetermined objects.

Referensi

Abhiram, M. S. D., Kuppili, J., & Manga, N. A. (2020). Smart Farming System using IoT for Efficient Crop Growth. 2020 IEEE International Students’ Conference on Electrical,Electronics and Computer Science (SCEECS), 1–4. https://doi.org/10.1109/SCEECS48394.2020.147.

Adam, A. H., Tamilkodi, R., & Madhavi, K. V. (2019). Low-Cost Green Power Predictive Farming Using IOT and Cloud Computing. Proceedings - International Conference on Vision Towards Emerging Trends in Communication and Networking, ViTECoN 2019, 1–5. https://doi.org/10.1109/ViTECoN.2019.8899500.

Ali, M., Kanwal, N., Hussain, A., & Samiullah, F. (2020). IoT based smart garden monitoring system using NodeMCU microcontroller. International Journal of Advanced And Applied Sciences, 7(8), 117–124. https://doi.org/10.21833/ijaas.2020.08.012.

Baskoro, F., & Reynaldo, B. R. (2018). Detection of Lock on Radar System Based on Ultrasonic US 100 Sensor and Arduino Uno R3 with Image Processing GUI. IOP Conference Series: Materials Science and Engineering, 336(1). https://doi.org/10.1088/1757-899X/336/1/012016.

Bayati, P., Karimmojeni, H., Razmjoo, J., Pucci, M., Abate, G., Baldwin, T. C., & Mastinu, A. (2022). Physiological, Biochemical, and Agronomic Trait Responses of Nigella sativa Genotypes to Water Stress. Horticulturae, 8(3). https://doi.org/10.3390/horticulturae8030193.

Boonchieng, E., Chieochan, O., & Saokaew, A. (2018). Smart farm: Applying the Use of NodeMCU, IOT, NETPIE and LINE API for a lingzhi mushroom farm in Thailand. IEICE Transactions on Communications, E101B(1), 16–23. https://doi.org/10.1587/transcom.2017ITI0002.

Bounnady, K., Sibounnavong, P., Chanthavong, K., & Saypadith, S. (2019). Smart Crop Cultivation Monitoring System by Using IoT. 2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST), 1–3. https://doi.org/10.1109/ICEAST.2019.8802584.

Chang, Y. K., Zaman, Q. U., Rehman, T. U., Farooque, A. A., Esau, T., & Jameel, M. W. (2017). A real-time ultrasonic system to measure wild blueberry plant height during harvesting. Biosystems Engineering, 157(2460289), 35–44. https://doi.org/10.1016/j.biosystemseng.2017.02.004.

Chieochan, O., Saokaew, A., & Boonchieng, E. (2017). Internet of things (IOT) for smart solar energy: A case study of the smart farm at Maejo University. 2017 International Conference on Control, Automation and Information Sciences (ICCAIS), 262–267. https://doi.org/10.1109/ICCAIS.2017.8217588.

Dahane, A., Benameur, R., Kechar, B., & Benyamina, A. (2020, October). An IoT based smart farming system using machine learning. 2020 International Symposium on Networks, Computers and Communications, ISNCC 2020. https://doi.org/10.1109/ISNCC49221.2020.9297341.

Desnanjaya, I. G. M. N., & Nugraha, I. M. A. (2021). Design and Control System of Sluice Gate With Web-Based Information. 2021 International Conference on Smart-Green Technology in Electrical and Information Systems (ICSGTEIS), 52–57. https://doi.org/10.1109/ICSGTEIS53426.2021.9650409.

Doshi, J., Patel, T., & Bharti, S. kumar. (2019). Smart Farming using IoT, a solution for optimally monitoring farming conditions. Procedia Computer Science, 160, 746–751. https://doi.org/10.1016/j.procs.2019.11.016.

Durani, H., Sheth, M., Vaghasia, M., & Kotech, S. (2018). Smart Automated Home Application using IoT with Blynk App. Proceedings of the International Conference on Inventive Communication and Computational Technologies, ICICCT 2018, Icicct, 393–397. https://doi.org/10.1109/ICICCT.2018.8473224.

Fahad, S., Sonmez, O., Saud, S., Wang, D., Wu, C., Adnan, M., & Turan, V. (2021). Plant growth regulators for climate-smart agriculture. CRC Press.

Farooq, H., Rehman, H. U. R., Javed, A., Shoukat, M., & Dudley, S. (2020). A review on smart iot based farming. Annals of Emerging Technologies in Computing, 4(3), 17–28. https://doi.org/10.33166/AETiC.2020.03.003.

Jangam, A. R., Kale, K. V, Gaikwad, S., & Vibhute, A. D. (2018). Design and Development of IoT based System for Retrieval of Agrometeorological Parameters. 2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE), 804–809. https://doi.org/10.1109/ICRIEECE44171.2018.9008636.

Jyostsna Vanaja, K., Suresh, A., Srilatha, S., Kumar, K. V., & Bharath, M. (2018). IOT based Agriculture System Using NodeMCU. International Research Journal of Engineering and Technology, 5(3), 3025–3028. https://www.academia.edu/download/78112024/IRJET-V5I3714.pdf.

Kamruzzaman, S. M., Pavel, M. I., Hoque, M. A., & Sabuj, S. R. (2019). Promoting Greenness with IoT-Based Plant Growth System. In EAI/Springer Innovations in Communication and Computing (pp. 235–253). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-02674-5_16.

Kashyap, M., Sharma, V., & Gupta, N. (2018). Taking MQTT and NodeMcu to IOT: Communication in Internet of Things. Procedia Computer Science, 132(Iccids), 1611–1618. https://doi.org/10.1016/j.procs.2018.05.126.

Latifah, A., Ramdhani, W., Nasrulloh, M. R., & Elsen, R. (2021). Ultrasonic sensor for monitoring corn growth based on Raspberry Pi. IOP Conference Series: Materials Science and Engineering, 1098(4), 042087. https://doi.org/10.1088/1757-899x/1098/4/042087.

Mohammed, S. L., Al-Naji, A., Farjo, M. M., & Chahl, J. (2019). Highly Accurate Water Level Measurement System Using a Microcontroller and an Ultrasonic Sensor. IOP Conference Series: Materials Science and Engineering, 518(4), 042025. https://doi.org/10.1088/1757-899X/518/4/042025.

Nooriman, W. M., Lim, R. Y., Rudzuan, M. N., Sofi, Y., Fauzi, M. M., & Abdullah, A. H. (2021). Design and Development of IoT based Garbage Monitoring and Management System. Journal of Physics: Conference Series, 2107(1), 77–80. https://doi.org/10.1088/1742-6596/2107/1/012002.

Pottinger, L. (2017). Planting the seeds of a quiet activism. Area, 49(2), 215–222. https://doi.org/10.1111/area.12318.

Raviteja, K., & Supriya, M. (2020). IoT-Based Agriculture Monitoring System. Advances in Intelligent Systems and Computing, 1079, 473–483. https://doi.org/10.1007/978-981-15-1097-7_40.

Rocchi, A., Santecchia, E., Ciciulla, F., Mengucci, P., & Barucca, G. (2019). Characterization and Optimization of Level Measurement by an Ultrasonic Sensor System. IEEE Sensors Journal, 19(8), 3077–3084. https://doi.org/10.1109/JSEN.2018.2890568.

Saputra, L. K. P., & Lukito, Y. (2017). Implementation of air conditioning control system using REST protocol based on NodeMCU ESP8266. 2017 International Conference on Smart Cities, Automation & Intelligent Computing Systems (ICON-SONICS), 126–130. https://doi.org/10.1109/ICON-SONICS.2017.8267834.

Serikul, P., Nakpong, N., & Nakjuatong, N. (2018). Smart Farm Monitoring via the Blynk IoT Platform : Case Study: Humidity Monitoring and Data Recording. 2018 16th International Conference on ICT and Knowledge Engineering (ICT&KE), 1–6. https://doi.org/10.1109/ICTKE.2018.8612441.

Shukla, V. K., Kohli, A., & Shaikh, F. A. (2020). IOT based growth monitoring on moringa oleifera through capacitive soil moisture sensor. 2020 7th International Conference on Information Technology Trends, ITT 2020, 94–98. https://doi.org/10.1109/ITT51279.2020.9320884.

Soni, A., & Aman, A. (2018). Distance Measurement of an Object by using Ultrasonic Sensors with Arduino and GSM Module. IJSTE-International Journal of Science Technology & Engineering |, 4(11), 23–28. https://www.academia.edu/download/57645295/IJSTEV4I11007.pdf.

Sunitha, S. (2017). Distance Measurement using Ultrasonic Sensor and NodeMCU. International Research Journal of Engineering and Technology(IRJET), 4(6), 1794–1797. https://www.academia.edu/download/53811707/IRJET-V4I6575.pdf.

Ullah, I., Mao, H., Rasool, G., Gao, H., Javed, Q., Sarwar, A., & Khan, M. I. (2021). Effect of deficit irrigation and reduced n fertilization on plant growth, root morphology and water use efficiency of tomato grown in soilless culture. Agronomy, 11(2). https://doi.org/10.3390/agronomy11020228.

Yu, D., Zha, Y., Shi, L., Jin, X., Hu, S., Yang, Q., Huang, K., & Zeng, W. (2020). Improvement of sugarcane yield estimation by assimilating UAV-derived plant height observations. European Journal of Agronomy, 121, 126159. https://doi.org/10.1016/j.eja.2020.126159.

Unduhan

Diterbitkan

2023-10-22

Terbitan

Vol 12 No 2 (2023): July

Bagian

Articles

Lisensi

Hak Cipta (c) 2022 Moh. Erkamim

Creative Commons License

Artikel ini berlisensiCreative Commons Attribution-ShareAlike 4.0 International License.

Authors who publish with the Jurnal Sains dan Teknologi (JST)   agree to the following terms:

  1. Authors retain copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal. 
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work. (See The Effect of Open Access)