Cloud and IoT Technologies Revolutionizing Precision Agriculture
DOI:
https://doi.org/10.32628/CSEIT241061140Keywords:
Smart Agriculture, IoT-Cloud Integration, Precision Farming, Environmental Sustainability, Agricultural AutomationAbstract
Integrating Cloud Computing and Internet of Things (IoT) technologies is revolutionizing the agricultural sector by enabling precision farming practices and data-driven decision-making. This comprehensive article explores the transformation of traditional farming through smart agriculture technologies, examining the technological infrastructure, key applications, and measurable benefits. The article discusses how IoT sensor networks, cloud-based analytics, and automated systems enhance resource optimization, environmental sustainability, and operational efficiency. The article demonstrates that these technological implementations significantly impact water conservation, crop health monitoring, field mapping, equipment management, and environmental protection while delivering substantial economic benefits through improved yields and reduced operational costs. The article provides insights into the current state of smart agriculture adoption and its implications for future farming practices.
Downloads
References
MarketsandMarkets, "Smart Agriculture Market Size, Share, Statistics and Industry Growth Analysis Report by Offering (Hardware, Software, Services), Agriculture Type, Farm Size (Large, Medium, Small), Application (Precision Farming, Livestock Monitoring) and Region (Americas, Europe, Asia Pacific, RoW) - Global Forecast to 2028,” March 2023. [Online]. Available: https://www.marketsandmarkets.com/Market-Reports/smart-agriculture-market-239736790.html
V.C. Patil, K.A. Al-Gaadi, D.P. Biradar, and M. Rangaswamy, "Internet of Things (IoT) and Cloud Computing for Agriculture: An Overview," Conference: Agro-Informatics and Precision Agriculture 2012 (AIPA 2012), January 2012. [Online]. Available: https://www.researchgate.net/publication/342144510_INTERNET_OF_THINGS_IOT_AND_CLOUD_COMPUTING_FOR_AGRICULTURE_AN_OVERVIEW#:~:text=The%20benefits%20of%20implementing%20IoT,of%20crop%20yields%2C%20enhanced%20financial
N. S. Abu et al., "Internet of Things Applications in Precision Agriculture: A Review," International Journal of Robotics and Control, Vol 3, No 3 (2022). [Online]. Available: https://journal.umy.ac.id/index.php/jrc/article/view/14159 DOI: https://doi.org/10.18196/jrc.v3i3.14159
M.J. O'Grady, D. Langton, G.M.P. O'Hare, "Edge computing: A tractable model for smart agriculture?," Artificial Intelligence in Agriculture, Volume 3, September 2019, Pages 42-51. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S2589721719300339 DOI: https://doi.org/10.1016/j.aiia.2019.12.001
Wei Li et al., "Review of Sensor Network-Based Irrigation Systems Using IoT and Remote Sensing," Advances in Meteorology, 07 September 2020. [Online]. Available: https://onlinelibrary.wiley.com/doi/10.1155/2020/8396164 DOI: https://doi.org/10.1155/2020/8396164
Anna Triantafyllou, Panagiotis Sarigiannidis, and Stamatia Bibi, "Precision Agriculture: A Remote Sensing Monitoring System Architecture," Information 2019, 10(11), 348, 9 November 2019. [Online]. Available: https://www.mdpi.com/2078-2489/10/11/348 DOI: https://doi.org/10.3390/info10110348
Maya Gopal P.S., Bhargavi Renta Chintala, "Big Data Challenges and Opportunities in Agriculture," International Journal of Agricultural and Environmental Information Systems (IJAEIS)11(1), 2020. [Online]. Available: https://www.igi-global.com/gateway/article/244147 DOI: https://doi.org/10.4018/IJAEIS.2020010103
U.K. Shanwad, V.C. Patil, G. S. Dasog, C.P. Mansur and K. C. Shashidhar, "Global Positioning System (GPS) in Precision Agriculture," Research Gate, January 2002. [Online]. Available: https://www.researchgate.net/publication/261035926_Global_Positioning_System_GPS_in_Precision_Agriculture
G. S. Nagaraja; Avinash B Soppimath; T. Soumya; A Abhinith, "IoT Based Smart Agriculture Management System," 2019 4th International Conference on Computational Systems and Information Technology for Sustainable Solution (CSITSS), 12 March 2020. [Online]. Available: https://ieeexplore.ieee.org/document/9031025 DOI: https://doi.org/10.1109/CSITSS47250.2019.9031025
Evangelia Fragkou et al., "Quantifying the impact of a smart farming system application on local-scale air quality of smallhold farms in Greece," Air Quality, Atmosphere & Health, Volume 16, pages 1–14, (2023), 10 October 2022. [Online]. Available: https://link.springer.com/article/10.1007/s11869-022-01269-x DOI: https://doi.org/10.1007/s11869-022-01269-x
George Papadopoulos et al., "Economic and environmental benefits of digital agricultural technologies in crop production: A review," Smart Agricultural Technology, Volume 8, August 2024, 100441. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S2772375524000467 DOI: https://doi.org/10.1016/j.atech.2024.100441
Downloads
Published
Issue
Section
License
Copyright (c) 2024 International Journal of Scientific Research in Computer Science, Engineering and Information Technology
This work is licensed under a Creative Commons Attribution 4.0 International License.