Hybrid Energy Harvesting Model for Attaining Energy Neutrality in IoT-based Smart Agricultural System
Hybrid Energy Harvesting Model for Attaining Energy Neutrality in IoT-based Smart Agricultural System |
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| © 2023 by IJETT Journal | ||
| Volume-71 Issue-7 |
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| Year of Publication : 2023 | ||
| Author : Rakshith Nagaraj, Minavathi |
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| DOI : 10.14445/22315381/IJETT-V71I7P216 | ||
How to Cite?
Rakshith Nagaraj, 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, https://doi.org/10.14445/22315381/IJETT-V71I7P216
Abstract
Artificial Intelligence (AI) has constantly entered various applications in economical ways, specifically in control and monitoring applications in the sector related to agriculture. Moreover, the process of attaining neutrality in the energy for the Internet of Things (IoT) remains a challenging task. The agricultural sector is still affected by various pest diseases, which lead to danger to the productivity of crops and economically affect the farmers. To overcome these challenges, this research introduced an energy harvesting system to achieve the state of energy neutrality in IoT-based smart agricultural systems. Moreover, the Maximum Power Point Tracking (MPPT) algorithm is utilized to attain the state of energy neutrality, and the Principal Component Analysis (PCA) is used to detect the pests for the provided Region of Interest (ROI). The Xception model is utilized to classify the codling moths and general insects affecting the crops. The Raspberry Pi3 (RPi3) is utilized to collect images in a single board computer and helps detect the pests accurately. The hybrid energy harvesting system is a combination of solar, wind and grid harvesters. Li-Po battery with 1820 mAh is utilized to charge the Hybrid system using the Xception model. The experimental results show that the proposed hybrid energy harvesting system consumed minimum energy of 118.2 J while the existing methods, such as Smart Energy Harvesting using Wireless Sensor Networks (SEH-WSN) and Long Range – Low Power Wide Area Networks (LR-LPWAN), consumed energy of 129.8 J and 124.5 J respectively.
Keywords
Energy neutrality, Hybrid energy harvesting system, Internet of things, Raspberry pi, Smart agriculture.
References
[1] Mobasshir Mahbub, “A Smart Farming Concept Based on Smart Embedded Electronics, Internet of Things and Wireless Sensor Network,” Internet Things, vol. 9, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Elsayed Said Mohamed et al., “Smart Farming for Improving Agricultural Management,” The Egyptian Journal of Remote Sensing and Space Science, vol. 24, no. 3, pp. 971-981, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Abdul Salam, “Internet of Things in Agricultural Innovation and Security,” Internet of Things for Sustainable Community Development, pp. 71-112, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Lingyi Lan et al., “Breathable Nanogenerators for an On-Plant Self-Powered Sustainable Agriculture System,” ACS Nano, vol. 15, no. 3, pp. 5307-5315, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Omer Gulec, Elif Haytaoglu, and Sezai Tokat, “A Novel Distributed CDS Algorithm for Extending Lifetime of WSNs with Solar Energy Harvester Nodes for Smart Agriculture Applications,” IEEE Access, vol. 8, pp. 58859-58873, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Achilles D. Boursianis et al., “Smart Irrigation System for Precision Agriculture-The AREThOU5A IoT Platform,” IEEE Sensors Journal, vol. 21, no. 16, pp. 17539-17547, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Xunjia Li et al., “A Self-Charging Device with Bionic Self-Cleaning Interface for Energy Harvesting,” Nano Energy, vol. 73, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Sajib Roy, “An Electromagnetic Wind Energy Harvester Based on Rotational Magnet Pole-Pairs for Autonomous IoT Applications,” Energies, vol. 15, no. 15, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Mahendra Swain et al., “LoRa-LBO: An Experimental Analysis of LoRa Link Budget Optimization in Custom Build IoT Test Bed for Agriculture 4.0,” Agronomy, vol. 11, no. 5, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Demin Gao et al., “A Framework for Agricultural Pest and Disease Monitoring Based on Internet-of-Things and Unmanned Aerial Vehicles,” Sensors, vol. 20, no. 5, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Olalekan Kunle Ajiboye et al., “Hybrid Renewable Energy System Optimization via Slime Mould Algorithm,” International Journal of Engineering Trends and Technology, vol. 71, no. 6, pp. 83-95, 2023.
[CrossRef] [Publisher Link]
[12] Gaia Codeluppi et al., “LoRaFarM: A LoRaWAN-Based Smart Farming Modular IoT Architecture,” Sensors, vol. 20, no. 7, p. 2028, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Ritesh Kumar Singh et al., “Leveraging LoRaWAN Technology for Precision Agriculture in Greenhouses,” Sensors, vol. 20, no. 7, p. 1827, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Eshwar Ravishankar et al., “Balancing Crop Production and Energy Harvesting in Organic Solar-Powered Greenhouses,” Cell Reports Physical Science, vol. 2, no. 3, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Ying-Chih Lai et al., “Waterproof Fabric‐Based Multifunctional Triboelectric Nanogenerator for Universally Harvesting Energy from Raindrops, Wind, and Human Motions and as Self‐Powered Sensors,” Advanced Science, vol. 6, no. 5, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Himanshu Sharma, Ahteshamul Haque, and Zainul Abdin Jaffery, “Maximization of Wireless Sensor Network Lifetime Using Solar Energy Harvesting for Smart Agriculture Monitoring,” Ad Hoc Networks, vol. 94, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Murtaza Cicioğlu, and Ali Çalhan, “Smart Agriculture with Internet of Things in Cornfields,” Computers & Electrical Engineering, vol. 90, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[18] Weidang Lu et al., “Energy Efficiency Optimization in SWIPT Enabled WSNs for Smart Agriculture,” IEEE Transactions on Industrial Informatics, vol. 17, no. 6, pp. 4335-4344, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Chu Donatus Iweh, Semassou Guy Clarence, and Ahouansou H. Roger, “The Optimization of Hybrid Renewables for Rural Electrification: Techniques and the Design Problem,” International Journal of Engineering Trends and Technology, vol. 70, no. 9, pp. 222-239, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[20] Tran Anh Khoa et al., “Smart Agriculture Using IoT Multi-Sensors: A Novel Watering Management System,” Journal of Sensor and Actuator Networks, vol. 8, no. 3, p. 45, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Zhixin Wang et al., “Hybridized Energy Harvesting Device Based On High-Performance Triboelectric Nanogenerator for Smart Agriculture Applications,” Nano Energy, vol. 102, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[22] Lili Xia et al., “A Wind-Solar Hybrid Energy Harvesting Approach Based on Wind-Induced Vibration Structure Applied in Smart Agriculture,” Micromachines, vol. 14, no. 1, p. 58, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[23] Lei Hu et al., “Electromechanical Properties of a Hybrid Broadband Wind Energy Harvester for Smart Agriculture Monitoring in the Loess Plateau,” Electronics, vol. 12, no. 1, p.34, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[24] Pengfei Chen et al., “Super‐Durable, Low‐Wear, and High‐Performance Fur‐Brush Triboelectric Nanogenerator for Wind and Water Energy Harvesting for Smart Agriculture,” Advanced Energy Materials, vol. 11, no. 9, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[25] Xinqing Xiao, Meng Wang, and Guoqing Cao, “Solar Energy Harvesting and Wireless Charging Based Temperature Monitoring System for Food Storage,” Sensors International, vol. 4, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[26] Javier Rodríguez-Robles et al., “Autonomous Sensor Network for Rural Agriculture Environments, Low Cost, and Energy Self-Charge,” Sustainability, vol. 12, no. 15, p. 5913, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[27] Himanshu Agrawal et al., “An Improved Energy Efficient System for IoT Enabled Precision Agriculture,” Journal of Ambient Intelligence and Humanized Computing, vol. 11, no. 6, pp. 2337-2348, 2020.
[CrossRef] [Google Scholar] [Publisher Link]