Agriculture 5.0: Integrating Artificial Intelligence, Climate Finance, and Sustainable Rural Development

Authors

  • Umair Zafar Scott College of Business, Indiana State University, Indiana, USA Author
  • Muhammad Faisal Senior Assistant Professor, Business Studies Department, Bahria Business School Karachi (BBSK), Pakistan Author
  • Syed Muhammad Shoaib Wasim Senior Assistant Professor, Business Studies Department, Bahria Business School Karachi (BBSK), Pakistan Author
  • Sultan Mahmood PhD Advisor, Environment & Climate Change, EcoCare Consultancy Services, Pvt. Ltd, Lahore, Punjab, Pakistan Author

Keywords:

Agriculture 5.0, Artificial Intelligence, Climate Finance, Rural Development, Sustainable Agriculture, Sustainable Agricultural Performance

Abstract

Agriculture 5.0 is a new paradigm that aims to maximize agricultural productivity, environmental sustainability, and the resilience of rural communities by utilizing Artificial Intelligence (AI), climate finance, and sustainable rural development. This study examined the impacts of AI, climate finance, and sustainable rural development on sustainable agricultural performance. A quantitative research design was employed using a structured questionnaire to collect data from 320 farmers, agricultural extension officers, agribusiness professionals, and rural development practitioners. The data were analysed using SPSS Statistics Version 29 through descriptive statistics, reliability analysis, Pearson correlation, and multiple regression analysis. Cronbach's alpha values ranged from 0.887 to 0.914, indicating high internal consistency. The descriptive statistics showed high respondent agreement, with mean values ranging from 4.24 to 4.35. Pearson correlation analysis revealed significant positive relationships among all study variables (r = 0.684–0.808, p < 0.01). Multiple regression analysis indicated that AI (β = 0.396, p < 0.001), climate finance (β = 0.281, p < 0.001), and sustainable rural development (β = 0.437, p < 0.001) significantly influenced sustainable agricultural performance. The regression model demonstrated strong predictive power (R² = 0.760, F = 333.52, p < 0.001). The findings suggest that intelligent technologies, accessible climate finance, and inclusive rural development enhance agricultural productivity, resource efficiency, climate resilience, and long-term sustainability, highlighting Agriculture 5.0 as a comprehensive framework for sustainable agricultural transformation.

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Published

2026-06-01

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How to Cite

Zafar, U., Faisal, M., Wasim, S. M. S., & Mahmood, S. (2026). Agriculture 5.0: Integrating Artificial Intelligence, Climate Finance, and Sustainable Rural Development. Journal of Climate and Community Development, 5(1), 116-131. https://joccd.com/index.php/joccd/article/view/120