The Use of the Internet of Things Technology in Collecting Environmental Information of Agricultural Lands using Sensor Observation Service
Subject Areas : Agriculture, rangeland, watershed and forestryNima Ghasemloo 1 , Ali Akbar Matkan 2 , Abbas Alimohammadi 3 , Hossein Aghighi 4 , babak mirbagheri 5
1 - Phd. Student, Department of Remote Sensing and Geographical Information System, Faculty of Earth Sciences, Shahid Beheshti University, Tehran, Iran
2 - Professor, Department of Remote Sensing and Geographical Information System, Faculty of Earth Sciences, Shahid Beheshti University, Tehran, Iran
3 - .Professor, Department of GIS Engineering, Faculty of Geodesy & Geomatics Engineering, Khajeh Nasir al-Din Tusi University of Technology, Tehran, Iran
4 - Assistant Professor, Department of Remote Sensing and Geographical Information System, Faculty of Earth Sciences, Shahid Beheshti University, Tehran, Iran
5 - Assistant Professor, Department of Remote Sensing and Geographical Information System, Faculty of Earth Sciences, Shahid Beheshti University, Tehran, Iran
Keywords: smart agriculture, Internet of Things, sensor, sensor observation service, Open Geospatial Consortium, Spatial Data Infrastructure,
Abstract :
The challenges of food production in the 21st century make the employment of modern agricultural technologies increasingly vital due to population growth. The Internet of Things (IoT( is critical in changing traditional technology into modern technology, and it could help smart agriculture reduce waste and increase output. The integrated use of this technology in large metropolitan or national areas is problematic since data producers employ various formats and standards to implement the IoT. One of the most challenging aspects of utilizing the IoT in agriculture is gathering the collected data and displaying it online and in a standard format. This research has examined a method for receiving information from sensors, storing it, and presenting it in a standard context utilizing IoT technology. The result of this research shows that the sensor's data and their observations can be recorded in a standard format using the standard sensor observation service from the Open Geospatial Consortium. An integrated platform is built using spatial data infrastructure. In fact, using a standard format reduces the number of services requested and the parameters associated with the sensor name, retrieval time, and sensor position. Therefore, the output of sensor observations in the spatial portal of spatial data infrastructure will be more easily accessible than methods that use only web services. The use of spatial data infrastructure makes it possible to display sensor data alongside other spatial layers. Using this method, agricultural environmental data collected using sensors are more easily provided to farmers and decision-makers instantly and online.
1. Al-Kazragy, M. O. (2020). Evapotranspiration and irrigation water requirements evaluation of Chinarok area using asce Penman-Monteith method. IRAQI JOURNAL OF AGRICULTURAL SCIENCES, 51(3), 816-828
2. Bamurigire, P., Vodacek, A., Valko, A., & Rutabayiro Ngoga, S. (2020). Simulation of Internet of things water management for efficient rice irrigation in Rwanda. Agriculture, 10(10), 431.
3. Bhagat, M.; Kumar, D.; Kumar, D. Role of Internet of Things (IoT) in Smart Farming: A Brief Survey.
4. In Proceedings of the IEEE 2019 Devices for Integrated Circuit (DevIC), Kalyani, India, 23–24 March 2019; pp. 141–145.
5. Biro, K., Zeineldin, F., Al-Hajhoj, M. R., & Dinar, H. A. (2020). Estimating irrigation water use for date palm using remote sensing over an Oasis in arid region. Iraqi journal of agricultural sciences, 51(4), 1173-1187.
6. Chinnachodteeranun, R., & Honda, K. (2016). Sensor Observation Service API for Providing Gridded Climate Data to Agricultural Applications. Future Internet, 8(3), 40.
7. Choudhary, S., Gaurav, V., Singh, A., & Agarwal, S. (2019). Autonomous crop irrigation system using artificial intelligence. Int. J. Eng. Adv. Technol, 8, 46-51
8. Doshi, J., Patel, T., & kumar Bharti, S. (2019). Smart Farming using IoT, a solution for optimally monitoring farming conditions. Procedia Computer Science, 160, 746-751.
9. Elhag, A. E., & Abdelkarim, A. A. (2021). Analysis of Irrigation Water Requirements in Gezira Scheme Using Geographic Information Systems: Case Study Block Number 26 (Dolga). Journal of Engineering and Computer Science (JECS), 22(1), 81-91.
10. Elijah, O., Rahman, T. A., Orikumhi, I., Leow, C. Y., & Hindia, M. N. (2018). An overview of Internet of Things (IoT) and data analytics in agriculture: Benefits and challenges. IEEE Internet of Things Journal, 5(5), 3758-3773.
11. Fredericks, J., & Botts, M. (2018). Promoting the capture of sensor data provenance: a role-based approach to enable data quality assessment, sensor management and interoperability. Open Geospatial Data, Software and Standards, 3(1), 1-8.
12. Ghasemloo, N., Matkan, A., Alimohammadi, A., Aghighi, H., Mirbagheri, B., (2021), Estimation of plant water requirement using internet of things technology(Case study: Rosa Damascena Mill Agricultural Fields). 2nd International Conference on Geographic Information Science: Foundations and Interdisciplinary Applications. https://civilica.com/doc/1383939 (In Persian).
13. Kazaz, S., BaydaR, H., &ERBaS, S. (2009). Variations in chemical compositions of Rosa damascenaMill.and Rosa canina L. fruits. Czech Journal of Food Sciences, 27(3), 178-184
14. Keshavarz, A., Ashrafi, S., Hydari, N., Pouran, M., & Farzaneh, E. (2005, March). Water allocation and pricing in agriculture of Iran. In Water conservation, reuse, and recycling: proceeding of an Iranian American workshop, The National Academies Press: Washington, DC (pp. 153-172).
15. Marsh-Hunn, D., Trilles, S., González-Pérez, A., Torres-Sospedra, J., & Ramos, F. (2020). A Comparative Study in the Standardization of IoT Devices Using Geospatial Web Standards. IEEE Sensors Journal, 21(4), 5512-5528.
16. Navarro, E., Costa, N., & Pereira, A. (2020). A systematic review of IoT solutions for smart farming. Sensors, 20(15), 4231.
17. Pinnagadi Venkateswara, M., Anuraag, K., Aravinth, V., David, M., Arun, E., (2018). "Smart Agriculture Monitoring System based on Internet of Things.", International Research Journal of Engineering and Technology (IRJET) , Volume: 05 Issue: 03 | Mar-2018, pp 1952-1956
18. Roja, M., Deepthi, C., & Devender Reddy, M. (2020). Estimation of Crop Water Requirement of Maize Crop Using FAO CROPWAT 8.0 Model. Indian Journal of Pure and Applied Biosciences, 8(6), 222-228.
19. Stočes, M., Vaněk, J., Masner, J., & Pavlík, J. (2016). Internet of things (iot) in agriculture-selected aspects. Agris on-line Papers in Economics and Informatics, 8(665-2016-45107), 83-88.
20. TongKe, F. (2013). "Smart agriculture based on cloud computing and IOT." Journal of Convergence Information Technology8(2).
