Abstract
The Internet has known since its significant appearance growth and touched virtually every area of our everyday life: political, economic, sociocultural, etc. In the last years, it has become the primary source of information. The intelligent irrigation system remains a significant development of the Internet of Things due to the exponential need to make available the right quantity of food at lower agricultural and industrial costs. This work involves studying, designing, and implementing a web application for remote automation of green spaces, “Smart Green,” based on a mathematical model. This application aims to control the automatic watering process using an embedded system to optimize water consumption and prevent overwatering. This project consists of three parts: The first part consists of designing an embedded system based on the ESP8266 microcontroller. It allows the automatic control of climate, soil, and plant parameters and sends them over the Internet. The second part is dedicated to building a graphical user interface (GUI) that helps us visualise climatic parameters in real-time (Temperature, Humidity, Soil Moisture) internet connection and save them in a database. Finally, we made a prototype that allowed us to test the performance and the good functioning of our system.
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References
Di Martino, B., Rak, M., Ficco, M., Esposito, A., Maisto, S.A., Nacchia, S.: Internet of things reference architectures, security and interoperability: a survey. Internet Things 1–2, 99–112 (2018). https://doi.org/10.1016/j.iot.2018.08.008
Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J., Ghalsasi, A.: Cloud computing - the business perspective. Decis. Support Syst. (2019). https://doi.org/10.1016/j.dss.2010.12
Bartlett, A., Andales, A., Arabi, M., Bauder, T.: A smartphone app to extend the use of a cloud-based irrigation scheduling tool. Comput. Electron. Agric. 111, 127–130 (2015). https://doi.org/10.1016/j.compag.2014.12.021
Sales, N., Remedios, O., Arsenio, A.: Wireless sensor and actuator system for smart irrigation on the cloud. In: 2015 IEEE 2nd World Forum Internet of Things (WF-IoT), pp. 693–698 (2015). https://doi.org/10.1109/WF-IoT.2015.7389138
Gambi, E., et al.: A home automation architecture based on LoRa technology and Message Queue Telemetry Transfer protocol. Int. J. Distrib. Sens. Netw. 14(10), 1550147718806837 (2018). https://doi.org/10.1016/j.dss.2010.12.006
Nayyar, A., Puri, V.: An encyclopedia coverage of compiler’s, programmer’s & simulator’s for 8051, PIC, AVR, ARM, Arduino embedded technologies. Int. J. Reconfigurable Embed. Syst. (IJRES) 5(1), 18–42 (2016). ISSN 2089-4864
Nayyar, A.: A review of arduino Board’s, Lilypad’s & Arduino shield. In: 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom). INSPEC Accession Number: 16426549 (2016)
Ul Hassan, N., Khan, F.Z., Bibi, H., Khan, N.T., Nayyar, A., Bilal, M.: A decision support benchmark for forecasting the consumption of agriculture stocks. IEEE Consum. Electron. Mag. https://doi.org/10.1109/MCE.2021.3063547
Singh, P., Nayyar, A., Singh, S., Kaur, A.: Classification of wheat seeds using image processing and fuzzy clustered random forest. Int. J. Agric. Resour. Gov. Ecol. 16(2) (2020). https://doi.org/10.1109/ACCESS.2021.3050391
Nayyar, A., Vikram Puri, Er.: Smart farming: IoT based smart sensors agriculture stick for live temperature and moisture monitoring using Arduino, cloud computing & solar technology. Int. J. Sci. Technol. Res. 9(2) (2020). https://doi.org/10.1201/9781315364094-121
Krishnamurthi, R., Kumar, A., Gopinathan, D., Nayyar, A., Qureshi, B.: An overview of IoT sensor data processing, fusion, and analysis techniques. Sensors 20, 6076 (2020). https://doi.org/10.3390/s20216076, www.mdpi.com/journal/sensors
Ullah, F., Al-Turjman, F., Nayyar, A.: IoT-based green city architecture using secured and sustainable android services. Environ. Technol. Innov. 20, 101091 (2020). https://doi.org/10.1016/j.eti.2020.101091
Solanki, A., Nayyar, A.: Green Internet of Things (G-IoT): ICT Technologies, Principles, Applications, Projects, and Challenges. https://doi.org/10.4018/978-1-5225-7432-3.ch021
Chen, F., Qin, L., Li, X., Wu, G., Shi, C.: Design and implementation of ZigBee wireless sensor and control network system in greenhouse. In: 2017 36th Chinese Control Conference (CCC), pp. 8982–8986. IEEE (2017). https://doi.org/10.23919/ChiCC.2017.8028786
Majhi, B., Naidu, D.: Differential evolution based radial basis function neural network model for reference evapotranspiration estimation. SN Appl. Sci. 3(1), 1–19 (2021). https://doi.org/10.1007/s42452-020-04069-z
Bouras, E., et al.: Assessing the impact of global climate changes on irrigated wheat yields and water requirements in a semi-arid environment of Morocco 9, 19142 (2019). https://doi.org/10.1038/s41598-019-55251-2
Bersini, H.: La programmation orientée objet. 2017 Manuel (broché)
Agnihotri, N.: Top 15 des plates-formes IoT Les plus populaires. https://iotfunda.com/about/. [published le 14/12/2018, consult le O1/30/2021]
Toumi, D., Mihoub, Y., Moreau, S., Hassaine, S.: Real-time implementation of adaptive discrete fuzzy-RST speed control and nonlinear backstepping currents control techniques for PMSM drive. In: Hatti, M. (ed.) Artificial Intelligence and Renewables Towards an Energy Transition. Lecture Notes in Networks and Systems, vol. 174, pp. 361–373. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-63846-7_35
Bajer, L., Krejcar, O.: Design and realisation of low-cost control for greenhouse environment with remote control 48(4), 368–373 (2015).https://doi.org/10.1016/j.ifacol.2015.07.062
Schiavoa, M., Padula, F., et al.: Performance evaluation of an optimised PID controller for propofol and remifentanil coadministration in general anaesthesia. IFAC J. Syst. Control 15, 100121 (2021). https://doi.org/10.1016/j.ifacsc.2020.100121
Karunanithy, K., Velusamy, B.: Energy-efficient cluster and travelling salesman problem-based data collection using WSNs for Intelligent water irrigation and fertigation. J. Meas. 161, 107835 (2020). https://doi.org/10.1016/j.measurement.2020.107835
Balaji, R., et al.: Advanced implementation patterns of Internet of things with MQTT providers in the cutting edge communications. J. Mater. Today Proc. https://doi.org/10.1016/j.matpr.2020.11.090
Silanus, M.: node-red. http://silanus.fr/sin/?p=984. [published 18/02/2018, consulted 02/07/2021]
Sciullo, L., Aguzzi, C., Di Felice, M., Cinotti, T.S.: WoT store: enabling things and applications discovery for the W3C web of things. In: 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC). https://doi.org/10.1109/CCNC.2019.8651786
Acknowledgments
This work is part of the PERFU project; the title is “Optimisation of resource management in IoT networks,” and Code C00L07UN020120180001 is supported by the Algerian Ministry of Higher Education Scientific Research.
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Allali, M.A. et al. (2021). New Monitoring Framework Intelligent Irrigation System. In: Boumerdassi, S., Ghogho, M., Renault, É. (eds) Smart and Sustainable Agriculture. SSA 2021. Communications in Computer and Information Science, vol 1470. Springer, Cham. https://doi.org/10.1007/978-3-030-88259-4_12
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