Integrating IoT with LoRa Technology for Sustainable Smart Agriculture Practices

被引:0
作者
Murdan, Anshu Prakash [1 ]
Muthoo, Nikheel [1 ]
机构
[1] Univ Mauritius, Elect & Elect Engn Dept, Reduit, Mauritius
来源
2024 1ST INTERNATIONAL CONFERENCE ON SMART ENERGY SYSTEMS AND ARTIFICIAL INTELLIGENCE, SESAI 2024 | 2024年
关键词
IoT in Agriculture; LoRa Technology; Smart Farming; Remote Monitoring Systems; Data Analysis in Agriculture; TRENDS;
D O I
10.1109/SESAI61023.2024.10599440
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, the fusion of Internet of Things (IoT) and Long Range (LoRa) technologies is explored within the context of smart agriculture, aiming to enhance sustainable farming practices and food security. The paper delves into the design and deployment of a sophisticated agricultural monitoring system that leverages IoT for meticulous real-time data collection on environmental conditions and LoRa for its long-range, low-power communication capabilities. Through practical implementation in remote agricultural settings, the system demonstrates significant improvements in farming operations, such as optimized irrigation and effective intrusion detection, thereby contributing to increased agricultural productivity and sustainability. The research further evaluates the system's performance, emphasizing its potential to facilitate precision agriculture by enabling data-driven decision-making and efficient resource management. Additionally, the paper suggests directions for future research to overcome existing limitations and capitalize on emerging technologies, with the ultimate goal of revolutionizing agricultural practices through IoT and LoRa integration. This study highlights the transformative impact of combining IoT and LoRa technologies in advancing smart agriculture, underscoring their role in promoting efficient, sustainable farming techniques that are crucial for addressing global food security challenges.
引用
收藏
页码:101 / 106
页数:6
相关论文
共 17 条
[1]   A Study of LoRa: Long Range & Low Power Networks for the Internet of Things [J].
Augustin, Aloys ;
Yi, Jiazi ;
Clausen, Thomas ;
Townsley, William Mark .
SENSORS, 2016, 16 (09)
[2]   Fuzzy-IoT smart irrigation system for precision scheduling and monitoring [J].
Benzaouia, M. ;
Hajji, B. ;
Mellit, A. ;
Rabhi, A. .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2023, 215
[3]   Food security and sustainability: can one exist without the other? [J].
Berry, Elliot M. ;
Dernini, Sandro ;
Burlingame, Barbara ;
Meybeck, Alexandre ;
Conforti, Piero .
PUBLIC HEALTH NUTRITION, 2015, 18 (13) :2293-2302
[4]   Precision Farming at the Nexus of Agricultural Production and the Environment [J].
Finger, Robert ;
Swinton, Scott M. ;
El Benni, Nadja ;
Walter, Achim .
ANNUAL REVIEW OF RESOURCE ECONOMICS, VOL 11, 2019, 11 :313-335
[5]  
ieeexplore.ieee, Internet of Things and LoRaWAN-Enabled Future Smart Farming | IEEE Journals & Magazine | IEEE Xplore
[6]  
Javaid M., 2022, International Journal of Intelligent Networks, V3, P150, DOI DOI 10.1016/J.IJIN.2022.09.004
[7]   A Review of the Applications of the Internet of Things (IoT) for Agricultural Automation [J].
Kim W.-S. ;
Lee W.-S. ;
Kim Y.-J. .
Journal of Biosystems Engineering, 2020, 45 (04) :385-400
[8]   Green Agriculture: foundations for biodiverse, resilient and productive agricultural systems [J].
Koohafkan, Parviz ;
Altieri, Miguel A. ;
Gimenez, Eric Holt .
INTERNATIONAL JOURNAL OF AGRICULTURAL SUSTAINABILITY, 2012, 10 (01) :61-75
[9]   The Impact of Population Growth on Natural Resources and Farmers' Capacity to Adapt to Climate Change in Low-Income Countries [J].
Maja, Mengistu M. ;
Ayano, Samuel F. .
EARTH SYSTEMS AND ENVIRONMENT, 2021, 5 (02) :271-283
[10]   A Survey on LoRa for Smart Agriculture: Current Trends and Future Perspectives [J].
Pagano, Antonino ;
Croce, Daniele ;
Tinnirello, Ilenia ;
Vitale, Gianpaolo .
IEEE INTERNET OF THINGS JOURNAL, 2023, 10 (04) :3664-3679