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Tytuł artykułu

Design and Implementation of an IoT System for Soil Nutrient Monitoring with MQTT Communication and Temporary Data Storage

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This study explores the development and evaluation of an internet of things (IoT) system for real-time soil nutrient monitoring, focusing on crucial soil parameters such as nitrogen, phosphorus, potassium (NPK), and pH. By integrating message queuing telemetry transport (MQTT) as the communication protocol, the system ensures low latency, reliable data transmission, and effective management of soil data. The tested NPK and pH sensors showed high accuracy and reliability, with the pH sensor providing highly consistent readings, while the NPK sensor demonstrated variability but reliably tracked nutrient trends. We highly recommend further calibrating the NPK sensor to significantly improve its accuracy across various soil conditions. The IoT system, Soil Station 2.0, effectively assists in decision-making for fertilization and soil management, improving crop yields and soil health. GPS testing of the system revealed high positional accuracy, which is suitable for precision agriculture. MQTT data transmission’s testing showed differences in latency, indicating the need for system optimization for large data transmissions. Overall, the system demonstrated good accuracy, reliability, and efficiency in supporting agricultural decision-making and environmental monitoring.
Twórcy
autor
  • Diploma of Informatics Engineering, Universitas Sebelas Maret, Surakarta, Indonesia
  • Diploma of Informatics Engineering, Universitas Sebelas Maret, Surakarta, Indonesia
autor
  • Information Engineering at the Universitas Islam Negeri (UIN) of Salatiga, Indonesia
Bibliografia
  • 1. Alqinsi, P., Edward, I.J.M., Ismail, N., Darmalaksana, W. 2018. IoT-Based UPS Monitoring System Using MQTT Protocols. 2018 4th International Conference on Wireless and Telematics (ICWT). https://doi.org/10.1109/icwt.2018.8527815
  • 2. Amelia, A., Roslina, R., Fahmi, N., Pranoto, H., Sundawa, B.V., Hutauruk, I.S., Hutauruk, I.S., Arief, A., Arief, A. 2020. MQTT Protocol Implementation for Monitoring of Environmental Based on IoT. International Conference on Awareness Science and Technology. https://doi.org/10.1109/icast51016.2020.9557694
  • 3. Aryanto, I.K.A.A., Huizen, R.R., Aryanto, K.Y.E. 2020. Design of Soil Humidity Monitoring System Using the Internet of Things Concept and MQTT. 2020 International Conference on Smart Technology and Applications (ICoSTA). https://doi.org/10.1109/icosta48221.2020.1570611115
  • 4. Eridani, D., Martono, K.T., Hanifah, A.A. 2019. MQTT Performance as a Message Protocol in an IoT based Chili Crops Greenhouse Prototyping. 2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE). https://doi.org/10.1109/icitisee48480.2019.9003975
  • 5. Gomathi, S., Raj, K.V., Aakash, R.V. 2022. Design and implementation of an iot-based system for monitoring nutrients and irrigation in agricultural soil. International Carnahan Conference on Security Technology. https://doi.org/10.1109/iccst55948.2022.10040340
  • 6. Hakam, Y., Gaga, A., Haddadi, B.E. 2022. Machine learning-based smart irrigation monitoring system for agriculture applications using free and low-cost IoT platform. International Congress of Mathematicans. https://doi.org/10.1109/icm56065.2022.10005419
  • 7. Has, M., Kušek, M., Žarko, I.P. 2023. Evaluating secure variants of the MQTT protocol on resource-constraint devices for precision agriculture. In: International Conference on Telecommunications. https://doi.org/10.1109/contel58387.2023.10199102
  • 8. Helmy Sari, E.U., Setyawan, T.A., Nursyahid, A., Enriko, K.A., Widodo, S. 2021. Automatic control of hydroponic nutrient solution concentration based on edge and cloud computing using message queuing telemetry transport (MQTT) protocol. International Conference on Information Technology, Computer, and Electrical Engineering. https://doi.org/10.1109/icitacee53184.2021.9617513
  • 9. Jain, R., Mukherjee, A., Karmakar, P., Banerjee, A., Akbarov, H., Hasanov, S. 2023. Experimental performance of soil monitoring system using IoT technique for automatic drip irrigation. International Journal of Communication Systems. https://doi.org/10.1002/dac.5617
  • 10. Vijayaraghavan K.L.R. 2020. IoT and cloud hinged smart irrigation system for urban and rural farmers employing MQTT protocol. IEEE International Conference on Distributed Computing Systems. https://doi.org/10.1109/icdcs48716.2020.243551
  • 11. Kodali, R.K., Yerroju, S., Sahu, S. 2018. Smart farm monitoring using LoRa enabled IoT. In: Second International Conference on Green Computing and Internet of Things (ICGCIoT). https://doi.org/10.1109/icgciot.2018.8753086
  • 12. Mishra, D., Yadav, P., Yadav, V., Srivastava, R., Agrawal, K.K., Yadav, R.R. 2022. Adafruit IO based smart irrigation system using MQTT protocol for urban farming. Journal of Computer Science. https://doi.org/10.3844/jcssp.2022.374.381
  • 13. MQTT Protocol based Smart Greenhouse Environment Monitoring System using Machine Learning. 2020. Regular. https://doi.org/10.35940/ijitee.i7149.079920
  • 14. Mukherji, S.V., Sinha, R., Basak, S., Kar, S. 2019. Smart agriculture using internet of things and MQTT protocol. In: International Conference Machine Learning, Big Data, Cloud and Parallel Computing. https://doi.org/10.1109/comitcon.2019.8862233
  • 15. Patel, C., Patel, C., Doshi, N. 2020. A novel MQTT security framework in generic IoT model. Procedia Computer Science. https://doi.org/10.1016/j.procs.2020.04.150
  • 16. Perumal, M.S., Manimozhi, B., Dandamudi, H., Durairaj, V.B., Babu, D.V., Arunnehru, J., Jawaharlalnehru, A., Senthil, R.R.S. 2021. Ultra-reliable low latency communication technique for agriculture wireless sensor networks. Arabian Journal of Geosciences. https://doi.org/10.1007/s12517-021-07576-4
  • 17. Pooja, S., Uday, D.V., Nagesh, U.B., Talekar, S.G., 2017. Application of MQTT protocol for real time weather monitoring and precision farming. 2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT). https://doi.org/10.1109/iceeccot.2017.8284616
  • 18. Reshma, R., Sathiyavathi, V., Sindhu, T., Selvakumar, K., SaiRamesh, L. 2020. IoT based classification techniques for soil content analysis and crop yield prediction. In: Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). https://doi.org/10.1109/i-smac49090.2020.9243600
  • 19. Santos, A.M., Paiva, L.O., Reis, J. R., Silva, N.E.M., Santos, A.E., Luiz, D.F., Carvalho, C.B., S.S.W., Junior, W.S.S. 2021. Smart garden monitoring and irrigation system in multiplatform application using IoT. In: International Conference on Consumer Electronics-Taiwan. https://doi.org/10.1109/icce-tw52618.2021.9603081
  • 20. Syafarinda, Y., Akhadin, F., Fitri, Z.E., Yogiswara, Widiawan, B., Rosdiana, E., Rosdiana, E., 2018. The precision agriculture based on wireless sensor network with MQTT protocol. IOP Conference Series: Earth and Environment. https://doi.org/10.1088/1755-1315/207/1/012059
  • 21. Tan, E.-K., Chong, Y.-W., Niswar, M., Ooi, B.-Y., Basuki, A. 2020. An IoT platform for urban farming. international seminar on intelligent technology and its applications. https://doi.org/10.1109/isitia49792.2020.9163781
  • 22. Tholhappiyan, T., Sankar, S., Selvakumar, V., Robert, P. de. 2023. Agriculture monitoring system with efficient resource management using IoT. 2023. In: Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS). https://doi.org/10.1109/icaiss58487.2023.10250720
  • 23. Wardana, I.N.K., Crisnapati, P.N., Aryanto, K.A.A., Krisnawijaya, N.N.K., Suranata, I. W. A., 2018. IoTbased drip irrigation monitoring and controlling system using NodeMCU and Raspberry Pi. Null. https://doi.org/10.2991/icst-18.2018.115
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-dc59b914-4f00-4368-ae01-2915d7649311
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