| Title: |
AI Transparency and Climate-Adaptive Agritourism: Farm-Level Decision-Making and Rural Resilience |
| Authors: |
Aleksandra Vujko; Nataša Perović; Vuk Mirčetić; Adriana Radosavac; Darjan Karabašević |
| Source: |
Agriculture ; Volume 16 ; Issue 4 ; Pages: 404 |
| Publisher Information: |
Multidisciplinary Digital Publishing Institute |
| Publication Year: |
2026 |
| Collection: |
MDPI Open Access Publishing |
| Subject Terms: |
AI transparency; climate adaptation; agritourism diversification; farm resilience; adaptive decision-making; digital agriculture; climate risk perception; rural livelihoods |
| Subject Geographic: |
agris |
| Description: |
Climate change increases uncertainty in agricultural production and rural livelihoods, encouraging farms to pursue diversification strategies to buffer climate-related risks. Concurrently, the growing use of digital and AI-based climate decision-support tools raises questions about how the transparency of such information shapes farm-level adaptation. This study examines the relationships among AI transparency, climate awareness, decision confidence, agritourism diversification intention, and perceived farm resilience within a perception-based analytical framework in climate-sensitive rural systems. Data were collected through in-person fieldwork conducted throughout 2025 among agritourism-oriented farm operators in two Serbian rural clusters: a Western mountain agritourism belt and an Eastern/Southeastern dry-stress zone. Using structural equation modeling, the analysis reveals a consistent pattern of positive associations across all modeled relationships. Higher perceived transparency of AI-based climate information is associated with stronger climate awareness, greater decision confidence, a higher intention to diversify toward agritourism, and greater perceived farm resilience. Perceived farm resilience was most strongly related to agritourism diversification intention, underscoring diversification as a key perceived adaptive pathway under climate stress. The findings highlight AI transparency as a critical informational precondition for adaptive decision-making and resilience building as evaluated by farm operators, with implications for farmer-centric digital tools and rural climate adaptation policy in comparable climate-sensitive agricultural contexts. |
| Document Type: |
text |
| File Description: |
application/pdf |
| Language: |
English |
| Relation: |
Ecosystem, Environment and Climate Change in Agriculture; https://dx.doi.org/10.3390/agriculture16040404 |
| DOI: |
10.3390/agriculture16040404 |
| Availability: |
https://doi.org/10.3390/agriculture16040404 |
| Rights: |
https://creativecommons.org/licenses/by/4.0/ |
| Accession Number: |
edsbas.73F7D963 |
| Database: |
BASE |