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Review

AI and Related Technologies in the Fields of Smart Agriculture: A Review

by
Fotis Assimakopoulos
1,
Costas Vassilakis
2,
Dionisis Margaris
3,
Konstantinos Kotis
4 and
Dimitris Spiliotopoulos
1,*
1
Department of Management Science and Technology, University of the Peloponnese, 22131 Tripoli, Greece
2
Department of Informatics and Telecommunications, University of the Peloponnese, 22131 Tripoli, Greece
3
Department of Digital systems, University of the Peloponnese, 23100 Sparta, Greece
4
Department of Cultural Technology and Communication, University of the Aegean, University Hill, 81100 Mytilene, Greece
*
Author to whom correspondence should be addressed.
Information 2025, 16(2), 100; https://doi.org/10.3390/info16020100
Submission received: 1 January 2025 / Revised: 28 January 2025 / Accepted: 29 January 2025 / Published: 2 February 2025

Abstract

The integration of cutting-edge technologies—such as the Internet of Things (IoT), artificial intelligence (AI), machine learning (ML), and various emerging technologies—is revolutionizing agricultural practices, enhancing productivity, sustainability, and efficiency. The objective of this study is to review the literature regarding the development and evolution of AI as well as other emerging technologies in the various fields of Agriculture as they are developed and transformed by integrating the above technologies. The areas examined in this study are open field smart farming, vertical and indoor farming, zero waste agriculture, precision livestock farming, smart greenhouses, and regenerative agriculture. This paper links current research, technological innovations, and case studies to present a comprehensive review of these emerging technologies being developed in the context of smart agriculture, for the benefit of farmers and consumers in general. By exploring practical applications and future perspectives, this work aims to provide valuable insights to address global food security challenges, minimize environmental impacts, and support sustainable development goals through the application of new technologies.
Keywords: artificial intelligence; AI; IoT; precision agriculture; smart farming; vertical farming; indoor farming; zero waste agriculture; precision livestock; smart greenhouses; regenerative agriculture artificial intelligence; AI; IoT; precision agriculture; smart farming; vertical farming; indoor farming; zero waste agriculture; precision livestock; smart greenhouses; regenerative agriculture

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MDPI and ACS Style

Assimakopoulos, F.; Vassilakis, C.; Margaris, D.; Kotis, K.; Spiliotopoulos, D. AI and Related Technologies in the Fields of Smart Agriculture: A Review. Information 2025, 16, 100. https://doi.org/10.3390/info16020100

AMA Style

Assimakopoulos F, Vassilakis C, Margaris D, Kotis K, Spiliotopoulos D. AI and Related Technologies in the Fields of Smart Agriculture: A Review. Information. 2025; 16(2):100. https://doi.org/10.3390/info16020100

Chicago/Turabian Style

Assimakopoulos, Fotis, Costas Vassilakis, Dionisis Margaris, Konstantinos Kotis, and Dimitris Spiliotopoulos. 2025. "AI and Related Technologies in the Fields of Smart Agriculture: A Review" Information 16, no. 2: 100. https://doi.org/10.3390/info16020100

APA Style

Assimakopoulos, F., Vassilakis, C., Margaris, D., Kotis, K., & Spiliotopoulos, D. (2025). AI and Related Technologies in the Fields of Smart Agriculture: A Review. Information, 16(2), 100. https://doi.org/10.3390/info16020100

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