Smart Irrigation System

International Journal of Electrical and Electronics Engineering
© 2023 by SSRG - IJEEE Journal
Volume 10 Issue 8
Year of Publication : 2023
Authors : Nuradin Mohamed Abdikadir, Abdikarim Abi Hassan, Husein Osman Abdullahi, Rozeha Abdul Rashid
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How to Cite?

Nuradin Mohamed Abdikadir, Abdikarim Abi Hassan, Husein Osman Abdullahi, Rozeha Abdul Rashid, "Smart Irrigation System," SSRG International Journal of Electrical and Electronics Engineering, vol. 10,  no. 8, pp. 224-234, 2023. Crossref, https://doi.org/10.14445/23488379/IJEEE-V10I8P122

Abstract:

Smart irrigation systems powered by IoT technology are vital in agriculture. Traditional methods often harm plant health and wastewater. Conversely, IoT-driven smart irrigation enhances water management, boosts crop yield, and supports sustainable farming. It uses sensors, data analysis, and automation to gather and analyse real-time data for informed decisions and real-time control. The hardware comprises a central unit using Raspberry Pi and sensors measuring Temperature, Humidity, and soil moisture. Node-red manages data flow and decision-making by incorporating sensor data and external weather information. It links with the Favoriot platform for seamless data streaming, offering cloud storage and analysis. A predefined set of thresholds for soil moisture, humidity, and Temperature guides irrigation decisions. This system provides precise irrigation assessments, customization, and secure cloud storage. By optimizing water usage, enhancing crop health, and enabling remote monitoring and control, it promotes sustainable water management in agriculture.

Keywords:

Agriculture, Favoriot platform, IoT, Node-red, Raspberry Pi.

References:

[1] Naser Hossein Motlagh et al., “Internet of Things (IoT) and the Energy Sector,” Energies, vol. 13, no. 2, pp. 1-27, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Vasileios A. Tzanakakis, Nikolaos V. Paranychianakis, and Andreas N. Angelakis, “Water Supply and Water Scarcity,” Water, vol. 12, no. 9, pp. 1–16, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Herman Bouwer, “Integrated Water Management: Emerging Issues and Challenges,” Agricultural Water Management, vol. 45, no. 3, pp. 217–228, 2000.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Methaq A. Ali, Abbas Hussein Miry, and Tariq M. Salman, “IoT Based Water Tank Level Control System using PLC,” International Conference on Computer Science and Software Engineering (CSASE), pp. 7-12, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Chloe Sutcliffe, Jerry Knox, and Tim Hess, “Managing Irrigation under Pressure: How Supply Chain Demands, and Environmental Objectives Drive Imbalance in Agricultural Resilience to Water Shortages,” Agricultural Water Management, vol. 243, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Alexandre Heideker et al., “IoT-Based Measurement for Smart Agriculture,” IEEE International Workshop on Metrology for Agriculture and Forestry, (MetroAgriFor), pp. 68–72, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Dekera Kenneth Kwaghtyo, and Christopher Ifeanyi Eke, “Smart Farming Prediction Models for Precision Agriculture: A Comprehensive Survey,” Artificial Intelligence Review, vol. 56, no. 6, pp. 5729-5772, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Abdelmadjid Saad, Abou El Hassan Benyamina, and Abdoulaye Gamatié, “Water Management in Agriculture: A Survey on Current Challenges and Technological Solutions,” IEEE Access, vol. 8, pp. 38082–38097, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[9] E. Bwambale, F. K. Abagale, and G. K. Anornu, “Smart Irrigation Monitoring and Control Strategies for Improving Water Use Efficiency in Precision Agriculture: A Review,” Agricultural Water Management, vol. 260, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Chaowanan Jamroen et al., “An Intelligent Irrigation Scheduling System using Low-Cost Wireless Sensor Network Toward Sustainable and Precision Agriculture,” IEEE Access, vol. 8, pp. 172756–172769, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Chaiwat S, Benchalak, and M. Dechrit, “Smart Natural Paper Vending Machine using Sensor and IoT System,” International Journal of Engineering Trends and Technology, vol. 71, no. 4, pp. 256-263, 2023.
[CrossRef] [Publisher Link]
[12] Husein Osman Abdullahi et al., “Determinants of ICT Adoption Among Small Scale Agribusiness Enterprises in Somalia,” International Journal of Engineering Trends and Technology, vol. 69, no. 2, pp. 68–76, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Khaled Obaideen et al., “An Overview of Smart Irrigation Systems using IoT,” Energy Nexus, vol. 7, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Vivek Ramakant Pathmudi et al., “A Systematic Review of IoT Technologies and their Constituents for Smart and Sustainable Agriculture Applications,” Scientific African, vol. 19, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Jason Timotius Purwoko, Taurean Orlin Wingardi, and Benfano Soewito, “Smart Agriculture Water System using Crop Water Stress Index and Weather Prediction,” Commit Journal, vol. 17, no. 1, pp. 61-70, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Wei Zhao, Meini Wang, and V. T. Pham, “Unmanned Aerial Vehicle and Geospatial Analysis in Smart Irrigation and Crop Monitoring on IoT Platform,” Mobile Information Systems, vol. 2023, pp. 1-12, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[17] M. Pyingkodi et al., “Sensor-Based Smart Agriculture with IoT Technologies: A Review,” International Conference on Computer Communication and Informatics (ICCCI), pp. 1-7, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[18] Husein Osman Abdullahi et al., “Determinants of the Intention to use Information System: A Case of SIMAD University in Mogadishu, Somalia,” International Journal of Advanced and Applied Sciences, vol. 10, no. 4, pp. 188–196, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Alim Yasin et al., “The Design and Implementation of an IoT Sensor-Based Indoor Air Quality Monitoring System using Off-the-Shelf Devices,” Applied Sciences, vol. 12, no. 19, pp. 1-26, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[20] Thomai Karamitsou et al., “Open Weather Data Evaluation for Crop Irrigation Prediction Mechanisms in the AUGEIAS Project,” 7 th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM), pp. 1-4, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Jesús Rosa-Bilbao, Juan Boubeta-Puig, and Adrian Rutle, “CEPEDALoCo: An Event-Driven Architecture for Integrating Complex Event Processing and Blockchain through Low-Code,” Internet of Things, vol. 22, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[22] Philipp Fleck et al., “RagRug: A Toolkit for Situated Analytics,” IEEE Transactions on Visualization and Computer Graphics, vol. 29, no. 7, pp. 3281–3297, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[23] Siti Hajar Samsul, and Wan Mahani Hafizah Wan Mahmud, “Contact Tracing Device for Workplace using FAVORIOT Platform,” Evolution in Electrical and Electronic Engineering, vol. 3, no. 2, pp. 577–583, 2022.
[CrossRef] [Publisher Link]
[24] K. Elgazzar et al., “Revisiting the Internet of Things: New Trends, Opportunities and Grand Challenges,” Frontiers in the Internet of Things, vol. 1, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[25] Muhammad Azeem Syazwan Mohd Noordin et al., “Aquaponic Monitoring System and Fish Feeding with Favoriot,” International Journal of Interactive Mobile Technologies, vol. 17, no. 12, pp. 132–148, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[26] Laena D’Alton et al., “A Simple, Low-Cost Instrument for Electrochemiluminescence Immunoassays Based on a Raspberry Pi and Screen-Printed Electrodes,” Bioelectrochemistry, vol. 146, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[27] P. Amruthavarshini, C. V. Raghu, and G. Jagadanand, “Development of An IoT Enabled Smart Projection System for Classroom Needs,” IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT), pp. 71-77, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[28] Kanitkar R. Meghana, and J. S. Awati, “Designing of Temperature & Humidity Monitoring Embedded Systems,” International Conference on Computing, Communication and Energy Systems (ICCCES-16), pp. 1-3, 2016.
[Google Scholar] [Publisher Link]
[29] X. Wu, J. P. Walker, and Vanessa Nl Wong, “Proximal Soil Moisture Sensing for Real-Time Water Delivery Control: Exploratory Study over a Potato Farm,” Agriculture, vol. 13, no. 7, pp. 1-10, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[30] M. Suresh et al., “Smart Monitoring of Agricultural Field and Controlling of Water Pump using Internet of Things,” IEEE International Conference on System, Computation, Automation and Networking (ICSCAN), pp. 1-5, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[31] Motaz Daadoo, Amna Eleyan, and Derar Eleyan, “Optimization Water Leakage Detection using Wireless Sensor Networks (OWLD),” Proceedings of the International Conference on Future Networks and Distributed Systems, pp. 1-11, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[32] Mengting Chen et al., “A Reinforcement Learning Approach to Irrigation Decision-Making for Rice using Weather Forecasts,” Agricultural Water Management, vol. 250, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[33] Rakshith Nagaraj, and Minavathi, “Hybrid Energy Harvesting Model for Attaining Energy Neutrality in IoT-Based Smart Agricultural System,” International Journal of Engineering Trends and Technology, vol. 71, no. 7, pp. 162-174, 2023.
[CrossRef] [Publisher Link]
[34] Jiu Li Chong et al., “Internet of Things (IoT)-Based Environmental Monitoring and Control System for Home-Based Mushroom Cultivation,” Biosensors, vol. 13, no. 1, pp. 1-24, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[35] A. Vamshidhar Reddy, and K. Bharath Kumar, “Raspberry Pi-based IoT Garbage Monitoring System,” AIP Conference Proceedings, vol. 2477, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[36] Nitin Kumar Vishwakarma, Ragini Shukla, and Ravi Mishra, “A Review of Different Methods for Implementing Smart Agriculture on an IoT Platform,” SSRG International Journal of Computer Science and Engineering, vol. 7, no. 12, pp. 5-8, 2020.
[CrossRef] [Publisher Link]
[37] Weibing Jia et al., “Daily Reference Evapotranspiration Prediction for Irrigation Scheduling Decisions Based on the Hybrid PSO-LSTM Model,” PLOS ONE, vol. 18, no. 4, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[38] Idrees Khan, and Surya Afrin Shorna, “Cloud-Based IoT Solutions for Enhanced Agricultural Sustainability and Efficiency,” AI, IoT and the Fourth Industrial Revolution Review, vol. 13, no. 7, pp. 18-26, 2023.
[Google Scholar] [Publisher Link]