The intensification of competition on international horticultural markets hasturned the modernization of fruit and vegetable export chains into a strategic priority for agroexporting economies. This study examines how artificial intelligence (AI) technologies can bedeployed across the export value chain to strengthen the international competitiveness of fruit andvegetable producers and exporters. Drawing on the case of Uzbekistan — one of the world’sleading exporters of dried apricots, plums, raisins and fresh stone fruit — the paper combinessecondary foreign-trade statistics with primary survey data collected from 142 fruit and vegetableexporting enterprises. A conceptual framework is developed that links five families of AItechnologies (computer vision, machine-learning forecasting, IoT-enabled cold-chain analytics,natural-language market intelligence, and AI-based traceability and buyer-matching) to five stagesof the export value chain and to four competitiveness outcomes. Revealed comparative advantageanalysis confirms a strong but quality-constrained export position. Multiple regression analysisdemonstrates that the firm-level AI Adoption Index is the strongest predictor of the ExportCompetitiveness Index (β = 0.474; p < 0.001) and that the full model explains 62.4% of itsvariance. Enterprises in the highest AI-adoption quartile achieved, on average, a 23% higher unitexport price, a 41% lower consignment rejection rate and almost twice the market diversificationof low-adoption firms. The paper concludes with a staged policy and managerial roadmap for AIdriven competitiveness upgrading.
| Mualliflar | Jumayeva, Zamira |
|---|---|
| Jurnal | Иқтисодиёт ва туризм |
| Nashr sanasi | 2026-06-08 |
| Jild | 3 |
| Son | 29 |
| Til | Ingliz |
fruit and vegetable exports, export competitiveness, artificial intelligence, meva-sabzavot eksporti, eksport raqobatbardoshligi, sun’iy intellekt
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