Agricultural 4.0 Leveraging on Technological Solutions: Study for Smart Farming Sector

被引:0
|
作者
Gyamfi, Emmanuel Kojo [1 ]
ElSayed, Zag [1 ]
Kropczynski, Jess [1 ]
Yakubu, Mustapha Awinsongya [1 ]
Elsayed, Nelly [1 ]
机构
[1] Univ Cincinnati, Sch Informat Technol, Cincinnati, OH 45221 USA
关键词
Smart Farming; Agriculture; 4.0; Precision Farming; Sustainable; IoT; Security; Sensor;
D O I
10.1109/ICMI60790.2024.10585910
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
By 2050, it is predicted that there will be 9 billion people on the planet, which will call for more production, lower costs, and the preservation of natural resources. It is anticipated that atypical occurrences and climate change will pose severe risks to agricultural output. It follows that a 70% or more significant rise in food output is anticipated. Smart farming, often known as agriculture 4.0, is a tech-driven revolution in agriculture with the goal of raising industry production and efficiency. Four primary trends are responsible for it: food waste, climate change, population shifts, and resource scarcity. The agriculture industry is changing as a result of the adoption of emerging technologies. Using cutting-edge technology like IoT, AI, and other sensors, smart farming transforms traditional production methods and international agricultural policies. The objective is to establish a value chain that is optimized to facilitate enhanced monitoring and decreased labor expenses. The agricultural sector has seen tremendous transformation as a result of the fourth industrial revolution, which has combined traditional farming methods with cutting-edge technology to increase productivity, sustainability, and efficiency. To effectively utilize the potential of technology gadgets in the agriculture sector, collaboration between governments, private sector entities, and other stakeholders is necessary. This paper covers Agriculture 4.0, looks at its possible benefits and drawbacks of the implementation methodologies, compatibility, reliability, and investigates the several digital tools that are being utilized to change the agriculture industry and how to mitigate the challenges.
引用
收藏
页数:9
相关论文
共 50 条
  • [21] SMART FARMING IN AGRICULTURAL INDUSTRY: MOBILE TECHNOLOGY PERSPECTIVE
    Radenovic, Zarko
    Krstic, Bojan
    Markovic, Milan
    EKONOMIKA POLJOPRIVREDA-ECONOMICS OF AGRICULTURE, 2020, 67 (03): : 925 - 938
  • [22] The Implementation of "Smart" Technologies in the Agricultural Sector: A Review
    Assimakopoulos, Fotis
    Vassilakis, Costas
    Margaris, Dionisis
    Kotis, Konstantinos
    Spiliotopoulos, Dimitris
    INFORMATION, 2024, 15 (08)
  • [23] Prioritisation of Industry 4.0 implementations in agricultural sector with SWARA/EDAS
    Yucenur, G. Nilay
    Azakli, Ali Samed
    Bahadir, Kerem
    Tel, Muhammed Esat
    Arabaci, Seda Nur
    INTERNATIONAL JOURNAL OF SUSTAINABLE AGRICULTURAL MANAGEMENT AND INFORMATICS, 2022, 8 (03) : 326 - 344
  • [24] The Impact of the 4.0 Paradigm in the Italian Agricultural Sector: A Descriptive Survey
    Maffezzoli, Federico Angelo
    Ardolino, Marco
    Bacchetti, Andrea
    APPLIED SCIENCES-BASEL, 2022, 12 (18):
  • [25] Toward agriculture 4.0: Smart farming environment based on robotic and IoT
    Soheyb, Ayad
    Abdelmoutia, Talli
    Labib, Terrissa Sadek
    2021 4TH INTERNATIONAL SYMPOSIUM ON ADVANCED ELECTRICAL AND COMMUNICATION TECHNOLOGIES (ISAECT), 2021,
  • [26] Unleashing the Power of Generative AI in Agriculture 4.0 for Smart and Sustainable Farming
    Sai, Siva
    Kumar, Sanjeev
    Gaur, Aanchal
    Goyal, Shivam
    Chamola, Vinay
    Hussain, Amir
    COGNITIVE COMPUTATION, 2025, 17 (01)
  • [27] POLICIES OF TECHNOLOGICAL TRANSFER AND INNOVATION IN THE MEXICAN AGRICULTURAL SECTOR
    Amaro-Rosales, Marcela
    de Gortari-Rabiela, Rebeca
    Agricultura Sociedad y Desarrollo, 2016, 13 (03) : 449 - 471
  • [28] Efficiency, profitability and productivity: Technological applications in the agricultural sector
    Perez-Pons, Maria E.
    Parra-Dominguez, Javier
    Plaza, Marta
    Chamoso, Pablo
    Alonso, Ricardo S.
    ADCAIJ-ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL, 2020, 9 (04): : 47 - 54
  • [29] A Systematic Review of IoT Solutions for Smart Farming
    Navarro, Emerson
    Costa, Nuno
    Pereira, Antonio
    SENSORS, 2020, 20 (15) : 1 - 29
  • [30] Leveraging Fog Computing for Sustainable Smart Farming Using Distributed Simulation
    Malik, Asad Waqar
    Rahman, Anis Ur
    Qayyum, Tariq
    Ravana, Sri Devi
    IEEE INTERNET OF THINGS JOURNAL, 2020, 7 (04) : 3300 - 3309