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Emerging Technologies for Precision Crop Management Towards Agriculture 5.0: A Comprehensive Overview

Author

Listed:
  • Mohamed Farag Taha

    (School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
    College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
    Department of Soil and Water Sciences, Faculty of Environmental Agricultural Sciences, Arish University, Arish 45516, Egypt)

  • Hanping Mao

    (School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Zhao Zhang

    (Key Laboratory of Smart Agriculture System Integration, Ministry of Education, China Agricultural University, Beijing 100083, China)

  • Gamal Elmasry

    (Agricultural Engineering Department, Faculty of Agriculture, Suez Canal University, Ismailia 41522, Egypt)

  • Mohamed A. Awad

    (Department of Plant Production, Faculty of Environmental Agricultural Sciences, Arish University, Arish 45516, Egypt)

  • Alwaseela Abdalla

    (Department of Agricultural Biology, Colorado State University, Fort Collins, CO 80523, USA)

  • Samar Mousa

    (Agricultural Botany Department, Faculty of Agriculture, Suez Canal University, Ismailia 41522, Egypt)

  • Abdallah Elshawadfy Elwakeel

    (Agricultural Engineering Department, Faculty of Agriculture and Natural Resources, Aswan University, Aswan 81528, Egypt)

  • Osama Elsherbiny

    (School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
    Agricultural Engineering Department, Faculty of Agriculture, Mansoura University, Mansoura 35516, Egypt)

Abstract

Agriculture 5.0 (Ag5.0) represents a groundbreaking shift in agricultural practices, addressing the global food security challenge by integrating cutting-edge technologies such as artificial intelligence (AI), machine learning (ML), robotics, and big data analytics. To adopt the transition to Ag5.0, this paper comprehensively reviews the role of AI, machine learning (ML) and other emerging technologies to overcome current and future crop management challenges. Crop management has progressed significantly from early agricultural methods to the advanced capabilities of Ag5.0, marking a notable leap in precision agriculture. Emerging technologies such as collaborative robots, 6G, digital twins, the Internet of Things (IoT), blockchain, cloud computing, and quantum technologies are central to this evolution. The paper also highlights how machine learning and modern agricultural tools are improving the way we perceive, analyze, and manage crop growth. Additionally, it explores real-world case studies showcasing the application of machine learning and deep learning in crop monitoring. Innovations in smart sensors, AI-based robotics, and advanced communication systems are driving the next phase of agricultural digitalization and decision-making. The paper addresses the opportunities and challenges that come with adopting Ag5.0, emphasizing the transformative potential of these technologies in improving agricultural productivity and tackling global food security issues. Finally, as Agriculture 5.0 is the future of agriculture, we highlight future trends and research needs such as multidisciplinary approaches, regional adaptation, and advancements in AI and robotics. Ag5.0 represents a paradigm shift towards precision crop management, fostering sustainable, data-driven farming systems that optimize productivity while minimizing environmental impact.

Suggested Citation

  • Mohamed Farag Taha & Hanping Mao & Zhao Zhang & Gamal Elmasry & Mohamed A. Awad & Alwaseela Abdalla & Samar Mousa & Abdallah Elshawadfy Elwakeel & Osama Elsherbiny, 2025. "Emerging Technologies for Precision Crop Management Towards Agriculture 5.0: A Comprehensive Overview," Agriculture, MDPI, vol. 15(6), pages 1-32, March.
    • Handle: RePEc:gam:jagris:v:15:y:2025:i:6:p:582-:d:1608607
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