Preprint
Article

Enhancing Agricultural Capacity Through Data-Driven Teaching Practices: A Transformative Learning Approach for Sustainable Development and Inclusive Agricultural Education for Vulnerable Farmers

This version is not peer-reviewed.

Submitted:

14 April 2025

Posted:

15 April 2025

You are already at the latest version

Abstract
This paper explores the critical need for empowering emerging farmers within vulnerable communities through vocational adult education (VAE) approaches. It illuminates the persistent challenges of illiteracy, poverty, and the impact of climate change on agricultural productivity. Employing a mixed-methods research design that combines quantitative and qualitative methodologies, this study investigates the effectiveness of digital agriculture and extension services in enhancing agricultural productivity and sustainability. Key findings reveal significant barriers to technology adoption and the necessity for tailored training programs that integrate local knowledge systems and digital tools. Results demonstrate an average increase of 40% in crop yields among farmers participating in digital training initiatives (p < 0.01), underscoring the power of precision agriculture. Insights presented in this paper offer actionable recommendations for policymakers and stakeholders aimed at fostering inclusive agricultural development that addresses the unique challenges faced by emerging farmers.
Keywords: 
;  ;  ;  ;  ;  
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.

Downloads

17

Views

14

Comments

0

Subscription

Notify me about updates to this article or when a peer-reviewed version is published.

Email

Prerpints.org logo

Preprints.org is a free preprint server supported by MDPI in Basel, Switzerland.

Subscribe

© 2025 MDPI (Basel, Switzerland) unless otherwise stated