Unleashing the potential of IoT, Artificial Intelligence, and UAVs in contemporary agriculture: A comprehensive review

IF 2.4 3区 工程技术 Q3 ENGINEERING, ENVIRONMENTAL Journal of Terramechanics Pub Date : 2024-05-10 DOI:10.1016/j.jterra.2024.100986
Mustapha El Alaoui , Khalid EL Amraoui , Lhoussaine Masmoudi , Aziz Ettouhami , Mustapha Rouchdi
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Abstract

This study explores the potential of Precision Agriculture (PA) and Smart Farming (SF) using cutting-edge technologies like Artificial Intelligence (AI), the Internet of Things (IoT), and Unmanned Aerial Vehicles (UAVs) to address global challenges such as food shortages and population growth. The research focuses on recent developments in SF, including data collection, analysis, visualization and viable solutions, highlighting the role of IoT and 5G networks. The paper also discusses the application of robots and UAVs in agricultural tasks, showcasing their integration with IoT, AI, Deep Learning (DL), Machine Learning (ML), and wireless communications. Moreover, Smart Decision Support Systems (SDSS) are explored for real-time soil analysis and decision-making. The study underscores the significance of these technologies in PA, propelling traditional farming practices into an era of intelligent and sustainable farming solutions. This Overview is grounded in a thorough analysis of 80 recent research articles, covering the period from 2019 to 2023, within the domain of SF. This study highlights notable trends and advancements in this ever-evolving sector. Furthermore, this paper delves into the nuances of addressing particular challenges prevalent in developing nations, strategies aimed at surmounting constraints related to infrastructure and resource availability, and the pivotal role of governmental and private sector support in fostering the growth of Smart Agriculture (SA).

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释放物联网、人工智能和无人机在当代农业中的潜力:全面回顾
本研究利用人工智能 (AI)、物联网 (IoT) 和无人机 (UAV) 等尖端技术,探索精准农业 (PA) 和智能农业 (SF) 的潜力,以应对粮食短缺和人口增长等全球性挑战。研究重点是 SF 的最新发展,包括数据收集、分析、可视化和可行的解决方案,强调物联网和 5G 网络的作用。论文还讨论了机器人和无人机在农业任务中的应用,展示了它们与物联网、人工智能、深度学习(DL)、机器学习(ML)和无线通信的整合。此外,还探讨了用于实时土壤分析和决策的智能决策支持系统(SDSS)。研究强调了这些技术在农业生产中的重要意义,推动传统农业实践进入智能和可持续农业解决方案时代。本《概述》基于对 SF 领域内 80 篇最新研究文章的全面分析,研究时间跨度为 2019 年至 2023 年。本研究强调了这一不断发展的领域的显著趋势和进步。此外,本文还深入探讨了应对发展中国家普遍存在的特殊挑战的细微差别、旨在克服与基础设施和资源可用性相关的制约因素的战略,以及政府和私营部门的支持在促进智能农业(SA)发展中的关键作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Terramechanics
Journal of Terramechanics 工程技术-工程:环境
CiteScore
5.90
自引率
8.30%
发文量
33
审稿时长
15.3 weeks
期刊介绍: The Journal of Terramechanics is primarily devoted to scientific articles concerned with research, design, and equipment utilization in the field of terramechanics. The Journal of Terramechanics is the leading international journal serving the multidisciplinary global off-road vehicle and soil working machinery industries, and related user community, governmental agencies and universities. The Journal of Terramechanics provides a forum for those involved in research, development, design, innovation, testing, application and utilization of off-road vehicles and soil working machinery, and their sub-systems and components. The Journal presents a cross-section of technical papers, reviews, comments and discussions, and serves as a medium for recording recent progress in the field.
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