LoRa Based IoT Enabled Sensor Networks for Plantations Manuscript Received: 29 July 2023, Accepted: 25 August 2023, Published: 15 March 2024, ORCiD: 0000-0003-1076-5034, https://doi.org/10.33093/jetap.2024.6.1.3
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Abstract
The integration of Wireless Sensor Network (WSN) technology with the Internet of Things (IoT) in agriculture plays a pivotal role in addressing a range of challenges and constraints faced by the sector, encompassing issues such as labour shortages, suboptimal farm management practises, and unpredictable weather conditions. In response to these pressing concerns, this study focuses on the development of WSN with IoT for agriculture, employing a spread spectrum modulation technique named the Long Range (LoRa) module. By leveraging LoRa devices and wireless radio frequencies, this technology serves as a versatile platform for delivering wireless, long-range, and energy-efficient communication to support small and medium-sized agricultural operations. These operations often lack adequate technological assistance due to factors such as limited expertise and the high costs associated with cutting-edge agricultural technology. The research undertakes a comprehensive exploration, involving LoRa parameter testing, Line-of-Sight evaluations, Non-Line-Of-Sight (NLOS) simulations, and sensor calibration, to assess the efficacy of LoRa-based IoT-enabled sensor networks within plantation environments. The overarching objective of this research endeavour is to provide valuable insights that contribute to the optimisation of agricultural practises through streamlined IoT solutions. By implementing practical and cost-effective strategies, the local agricultural sector stands poised to achieve seamless strides in both sustainable and efficient food production.
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References
N. A. A. Hamzah, M. R. Abu Saad, W. Z. Wan Ismail, T. Bhunaeswari and N. Z. Abd Rahman, “Development of A Prototype of An IoT Based Smart Home with Security System Flutter Mobile,” J. Eng. Technol. Appl. Phys., vol. 1, no. 2, pp. 34–41, 2019.
W. Li, H. Fu, L. Yu and A. Cracknell, “Deep Learning Based Oil Palm Tree Detection and Counting for High-Resolution Remote Sensing Images,” Remote Sens., vol. 9(1), No. 22, 2017.
C. C. Lee, S. Y. Tan, T. S. Lim and V. C. Koo, “Oil Palm Tree Detection from High Resolution Drone Image Using Convolutional Neural Network,” J. Eng. Technol. Appl. Phys., vol. 1, no. 2, pp. 6–9, 2019.
“The Future of Food and Agriculture: Trends and Challenges,” Food and Agriculture Organization of the United Nations, Rome, Italy, 2017.
M. Briers, "Digital Farming and the 4th Agricultural Revolution," Food Agility, 23 October 2018. https://www.foodagility.com/posts/digital-farming-and-the-4th-agricultural-revolution.
D. Pivoto, P. D. Waquil, E. Talamini, C. P. S. Finocchio, V. F. Dalla Corte and G. de Vargas Mores, “Scientific Development of Smart Farming Technologies and Their Application in Brazil,” Inform. Process. Agricult., vol. 5, no. 1, pp. 21–32, 2018.
O. Elijah, T. A. Rahman, I. Orikumhi, C. Y. Leow and M. N. Hindia, "An Overview of Internet of Things (IoT) and Data Analytics in Agriculture: Benefits and Challenges," IEEE Internet of Things J., vol. 5, No. 5, pp. 3758-3773, 2018.
P. Jeyashree, M. Meghana and B. S. Reddy, “Smart Agriculture Using Lora Technology,” Int. J. Emerg. Technol. Innov. Eng., vol. 5, no. 4, pp. 216-220, 2019.
S. Gutiérrez, I. Martínez, J. Varona, M. Cardona and R. Espinosa, "Smart Mobile LoRa Agriculture System based on Internet of Things," in IEEE 39th Central America and Panama Conven., Guatemala, pp. 1-6, 2019.
R. K. Kodali, S. Yerroju and S. Sahu, "Smart Farm Monitoring Using LoRa Enabled IoT,," in Second Int. Conf. Green Comput. and Internet of Things, Bangalore, India, pp. 391-394, 2018.
A. F. Rachmani and F. Y. Zulkifli, "Design of IoT Monitoring System Based on LoRa Technology for Starfruit Plantation," in Proc. TENCON 2018 - 2018 IEEE Region 10 Conference, Jeju, Korea, pp. 1241-1245, 2018.