Systematic Literature Review of Barriers and Enablers to Implementing Food Informatics Technologies: Unlocking Agri-Food Chain Innovation

Foods, Год журнала: 2024, Номер 13(21), С. 3349 - 3349

Опубликована: Окт. 22, 2024

Access to food products is becoming more and complex due population growth, climate change, political economic instability, disruptions in the global value chain, as well changes consumption dynamics insecurity. Therefore, agri-food chains face increasingly greater challenges responding these dynamics, where digitalization of systems has become an innovative alternative. However, efforts adopt use technologies fourth industrial revolution (precision agriculture, smart Industrial Internet Things, Food, among others) are still a challenge improve efficiency links production (cultivation), processing (food production), final consumption, from perspective implementation Food Informatics that traceability, authenticity, consumer confidence, reduce fraud. This systematic literature review proposes identification barriers enablers for chain. The PRISMA methodology was implemented identification, screening, eligibility, inclusion articles Scopus Clarivate databases. A total 206 records were included in-depth analysis, through which 34 adoption (13 link, 12 9 marketing link) 27 (8 11 8 identified. Among analogous three analyzed privacy information security high investment maintenance costs, while mainly government support.

Язык: Английский

Understanding the Heterogeneous Effect of Microcredit Access on Agricultural Technology Adoption by Rural Farmers in Ethiopia: A Meta-Analysis

Heliyon, Год журнала: 2024, Номер 10(16), С. e35859 - e35859

Опубликована: Авг. 1, 2024

Though the Ethiopian economy is predominantly agriculture-based, adoption of agricultural technologies has been very low. The results a previous study had shown that microcredit access was one factors affecting technology in Ethiopia. However, its effect not yet analyzed at meta-level. Therefore, this employed meta-analysis to understand heterogeneous among farmers adopting technologies. We used subgroup analysis and meta-regression identify heterogeneity level credit on using random-effects (RE) model. observed there positive with log odds ratio 1.59. revealed 93.2 % overall variation (I2) p-value 0.000, signifying significant within between-groups studies conducted Notably, reflected by improved livestock technologies, fertilizers, seed varieties, multiple agriculture, irrigation rates 94.9 %, 94.4 94.3 85 73.8 respectively, all 0.000. In addition, indicate household experience, distance market, income are moderators affect decisions rural These findings suggest policymakers should focus improving financial facilities extension systems for enhance increase production efficiency.

Язык: Английский

Drivers and barriers to precision agriculture technology and digitalisation adoption: Meta-analysis of decision choice models

Precision Agriculture, Год журнала: 2024, Номер 26(1)

Опубликована: Дек. 27, 2024

Язык: Английский