The rapid evolution of agricultural practices driven by population growth, climate change, and technological advancements has necessitated the integration of smart technologies to enhance productivity and sustainability. This study aims to achieve two research objectives: (1) to provide a comprehensive overview of research patterns and key contributors in the domain of technology integration in smart agriculture, and (2) to evaluate the advantages of integrating technology in smart agriculture to address existing challenges. A scientometric analysis and a systematic literature review (SLR) were employed to examine the research landscape and synthesize current evidence. Following the PRISMA screening process, 18 articles were retained for the final systematic review. The findings reveal the transformative role of the Internet of Things (IoT), artificial intelligence (AI), blockchain, and unmanned aerial vehicles (UAVs) in improving resource management, reducing labour costs, enhancing real-time monitoring, and strengthening farm safety. The scientometric analysis further highlights global research collaborations, influential contributors, and emerging technological trends shaping the field of smart agriculture. These findings demonstrate the significant potential of advanced technologies to address contemporary agricultural challenges while promoting sustainable and resilient farming practices worldwide.
In the context of rapid technological advancement, the agricultural sector faces both unprecedented opportunities and challenges in achieving sustainable economic development. This study explores the direction of sustainable development of the agricultural economy by integrating modern technologies such as artificial i...
Chenxuan Ruan, Xiao-Ping Ma, Han-Xiao Li et al.· International Conference on...· 0 citations
The aim of this study was to comprehensively examine the key drivers of sustainable agricultural development and justify it as a key condition for achieving global sustainable development goals, a foundation for the ESG performance of agribusinesses, and a source for improving their operations and increasing investment...
I. Zenkina· Economy of agricultural and...· 0 citations
This study investigates the role of digital technologies in supporting sustainable natural resource management in Indonesia. The research aims to identify dominant technologies and clarify their contributions to policy-oriented sustainability frameworks. A mixed-methods approach was applied, combining a systematic revi...
Elisabeth Budianto, Christina Esti Wardani· Journal of Artificial Intell...· 0 citations
Climate-Smart Agriculture (CSA) research is rapidly developing across various disciplines. Yet, this research has yielded a fragmented knowledge structure that has not provided a comprehensive understanding of its evolution towards Digital Climate-Smart Agriculture (Digital CSA). This study aims to map the intellectual...
E. Astuty, S. A. Pratminingsih· International Conferences on...· 0 citations
The results indicate a growing adoption of Machine Learning (ML) algorithms, remote sensing technologies, and geospatial platforms such as Google Earth Engine (GEE), highlighting AI and GT as central components of Smart Agriculture.
Paulo César Escandón Panchana, Aline Maria Meiguins de Lima, A. Velástegui-Montoya et al.· Journal of Umm Al-Qura Unive...· 0 citations
Climate-Smart Agriculture (CSA) offers a pathway to improve agricultural productivity, resilience, and carbon sequestration in response to climate change. This study presents a systematic and integrative review of CSA practices and their implications for carbon sequestration in climate-vulnerable regions.
Th...
Prof. S. R. Srinidhi, Gomathy Shivani, G. Shreya et al.· Frontiers in Conservation Sc...· 0 citations
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