A systematic literature review on socio-ecological value scorecards for advancing sustainable smart agriculture

Abstract Agriculture, vital for sustenance and economic stability, faces growing pressures from resource scarcity, urbanization, and a surging global population. Achieving sustainable food production necessitates integrating state-of-the-art technologies within a complex, diverse ecosystem encompassing farmers, businesses, and policymakers. A socio-ecological value scorecard is essential for informing decision-making and enhancing farming systems; yet, there is a significant gap in thoroughly examining its role in addressing agricultural challenges. This paper addresses this by presenting a systematic literature review (SLR) of 26 relevant studies, rigorously selected from an initial 1010 papers published between 2014 and 2024. Articles underwent a two-phase screening process based on specific inclusion and exclusion criteria, followed by a quality assessment criteria to ensure reliability and relevance. The review highlights the critical role of a socio-ecological value scorecard to evaluate the broader implications of agricultural activities, guiding stakeholders toward more sustainable and responsible practices. This review also explores opportunities and challenges in leveraging data-driven agricultural innovations, precision agricultural techniques, the Internet of Things (IoT), cloud computing, and artificial intelligence (AI) to enhance control, productivity, and sustainability. It emphasizes the importance of data governance and sharing to unlock the full potential of these technologies, moving beyond traditional, experience-based methods. Moreover, the review provides a comprehensive analysis and taxonomy, illustrating the current research landscape and offering insights for future studies in developing and implementing a socio-ecological value scorecard for sustainable smart agriculture. Ultimately, the study contributes to understanding how a holistic, data-driven approach can pave the way for responsible and environmentally conscious farming practices.

Authors

Institutions

Publication Details

Journal
Discover Sustainability
Published
2025-08-16
DOI
https://doi.org/10.1007/s43621-025-01682-z
Citations
2
Primary Topic
Sustainable Agricultural Systems Analysis
Type
article
Field-Weighted Citation Impact
1.72

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A systematic literature review on socio-ecological value scorecards for advancing sustainable smart agriculture

Fisnik Dalipi, Anita Mirijamdotter, Saeed Niksaz
2 citations
Discover Sustainability
Sustainable Agricultural Systems Analysis
1.72
article

A systematic literature review on socio-ecological value scorecards for advancing sustainable smart agriculture

Fisnik Dalipi, Anita Mirijamdotter, Saeed Niksaz
article en
2 citations

Abstract

Abstract Agriculture, vital for sustenance and economic stability, faces growing pressures from resource scarcity, urbanization, and a surging global population. Achieving sustainable food production necessitates integrating state-of-the-art technologies within a complex, diverse ecosystem encompassing farmers, businesses, and policymakers. A socio-ecological value scorecard is essential for informing decision-making and enhancing farming systems; yet, there is a significant gap in thoroughly examining its role in addressing agricultural challenges. This paper addresses this by presenting a systematic literature review (SLR) of 26 relevant studies, rigorously selected from an initial 1010 papers published between 2014 and 2024. Articles underwent a two-phase screening process based on specific inclusion and exclusion criteria, followed by a quality assessment criteria to ensure reliability and relevance. The review highlights the critical role of a socio-ecological value scorecard to evaluate the broader implications of agricultural activities, guiding stakeholders toward more sustainable and responsible practices. This review also explores opportunities and challenges in leveraging data-driven agricultural innovations, precision agricultural techniques, the Internet of Things (IoT), cloud computing, and artificial intelligence (AI) to enhance control, productivity, and sustainability. It emphasizes the importance of data governance and sharing to unlock the full potential of these technologies, moving beyond traditional, experience-based methods. Moreover, the review provides a comprehensive analysis and taxonomy, illustrating the current research landscape and offering insights for future studies in developing and implementing a socio-ecological value scorecard for sustainable smart agriculture. Ultimately, the study contributes to understanding how a holistic, data-driven approach can pave the way for responsible and environmentally conscious farming practices.

Discover SustainabilityVol. 6(1)
Linnaeus University (SE)
Linnéuniversitetet
Openalex Percentile: Top 15%
Sustainable Agricultural Systems Analysis
1.72
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.