Issue |
E3S Web Conf.
Volume 491, 2024
International Conference on Environmental Development Using Computer Science (ICECS’24)
|
|
---|---|---|
Article Number | 02015 | |
Number of page(s) | 8 | |
Section | Smart Systems for Environmental Development | |
DOI | https://doi.org/10.1051/e3sconf/202449102015 | |
Published online | 21 February 2024 |
IoT and AI in Livestock Management: A Game Changer for Farmers
* National University Of Science And Technology, Dhi Qar, Iraq
† Medical Technical College, Al-Farahidi University, Baghdad, Iraq
‡ Ahl Al Bayt University, Karbala, Iraq
§ The Islamic university, Najaf, Iraq
* ali.a.issa@nust.edu.iq
† safa.majed@uoalfarahidi.edu.iq
‡ sabah.abdulameer@uobabylon.edu.iq
§ hassanaljawahry@gmail.com
This review article explores the transformative impact of AI and IoT in livestock management, highlighting their pivotal role in advancing Agriculture 4.0. It delves into various technologies such as robotics, nanotechnology, and gene editing, which are reshaping farming and food systems towards sustainability. The paper emphasizes the significance of digital phenotyping in poultry, particularly in enhancing productivity, animal welfare, and sustainability through innovative genomics research and health monitoring platforms. Additionally, it examines the evolution of e-agriculture in India, focusing on government initiatives and the increasing influence of mobile technology in farming. The role of Big Data in Smart Farming is also scrutinized, revealing its extensive impact beyond primary production and its potential in reshaping supply chain dynamics and business models. The review further assesses the contributions of IoT in agricultural systems, particularly in meeting the challenges of a rapidly growing global population. Through this comprehensive analysis, the paper underscores the necessity for ongoing research and development in these areas, recognizing the potential challenges and opportunities presented by these robust, sustainable, and in creating a more technologically advanced agricultural future.
© 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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.