Issue |
E3S Web Conf.
Volume 477, 2024
International Conference on Smart Technologies and Applied Research (STAR'2023)
|
|
---|---|---|
Article Number | 00081 | |
Number of page(s) | 6 | |
DOI | https://doi.org/10.1051/e3sconf/202447700081 | |
Published online | 16 January 2024 |
Farming in the Digital Age: Smart Agriculture with AI and IoT
1 National University of Science And Technology, Dhi Qar, Iraq
2 Medical Technical College, Al-Farahidi University, Baghdad, Iraq
3 Ahl Al Bayt University, Karbala, Iraq
4 The Islamic university, Najaf, Iraq
1 Sridivya2013@outlook.com
2 safa.majed@uoalfarahidi.edu.iq
3 sabah.abdulameer@uobabylon.edu.iq
4 hassanaljawahry@gmail.com
This review article titled “Revolutionizing Agriculture: The Impact of AI and IoT” delves into the transformative role of Artificial Intelligence (AI) and the Internet of Things (IoT) in modern agriculture. It encapsulates the burgeoning wave of digitalization and its implications for data-driven farming practices. The paper comprehensively reviews the advancements in digital agriculture management, highlighting the integration of AI, IoT devices, machine learning, and sensor technology in enhancing farming efficiency and productivity. Emphasis is placed on the use of robotics, drones for crop monitoring, and smart irrigation systems, which leverage real-time data for optimized agricultural operations. The role of high-speed 5G networks in enabling these smart farming solutions is also discussed, particularly their impact on data transmission and connectivity in rural settings. Challenges and opportunities in implementing Smart Decision Support Systems (SDSS) in developing countries are explored, focusing on real-time soil analysis and decision-making aids for farmers. The review further discusses a proposed cloud-based system for remote farm monitoring, employing AI-based models for efficient data processing and improving farming practices. This article aims to provide a nuanced understanding of the current and future potential of AI and IoT in reshaping agricultural practices, addressing global food security challenges, and supporting sustainable development.
Key words: Agriculture / AI and IoT / data-driven / water
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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