Digital Agriculture 5.0: A New Perspective in Agricultural Engineering

Dear Colleagues,

The present Special Issue proposal, entitled "Digital Agriculture 5.0: A New Perspective in Agricultural Engineering", focuses on discussing the advances, challenges, and prospects of Agriculture 5.0 within the context of engineering applied to the agricultural sector. With the rise in digital technologies, Agriculture 5.0 emerges as a new revolution in the field, incorporating elements of artificial intelligence, the Internet of Things (IoT), cloud computing, autonomous robotics, big data, and predictive analytics to promote a more efficient, sustainable, secure, and personalized agricultural production.

The scope of this Special Issue includes theoretical, experimental, and applied studies that explore technological innovations aimed at enhancing agricultural production, intelligent management of natural resources, process automation, and real-time data-driven decision-making. Contributions are welcome that involve the development of smart sensors, integration of digital platforms in agricultural machinery, remote monitoring systems, predictive modeling, and emerging technologies applied to precision and regenerative agriculture.

The purpose of this issue is to compile a comprehensive body of research and practical applications that reflect the transition from the conventional model to the digital paradigm of Agriculture 5.0, expanding the discussion on how such technologies can transform not only productivity but also the sustainability and resilience of agri-food systems in the face of global challenges such as climate change and population growth.

This Special Issue also aims to complement the existing literature on Agriculture 4.0 and traditional agricultural engineering by advancing toward a more integrated and intelligent perspective, involving the use of cognitive, adaptive, and interconnected technologies. By bringing together different approaches and case studies at multiple scales, the issue will significantly contribute to the advancement of technical-scientific knowledge in the field, fostering interdisciplinary dialog between engineering, data science, agronomy, and sustainability.

Prof. Dr. Marcos Vinícius Da Silva
Prof. Dr. Nítalo Andre Farias Machado
Dr. Airton Goncalves de Oliveira
Dr. Jhon Lennon Bezerra Da Silva
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. AgriEngineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• agriculture 5.0
• agricultural engineering
• digital agriculture
• agricultural automation
• artificial intelligence
• internet of things (IoT)
• big data
• data-driven decision-making
• machine learning applied to remote sensing
• precision agriculture
• emerging technologies