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Research Article Open access CC BY 4.0

Digital Innovations in Extension Education: A Review of Emerging Technologies and their Impact on Agricultural Knowledge Dissemination

N Krishna Priya, Shrikant Sheshrao Patil, Santosh Kumar Vishwakarma, D R K Saikanth, Ishita Mishra, Somdutt Tripathi, Ayush Kumar Pathak, Sakshi Shastri

Journal of Experimental Agriculture International · pp. 408–423 · Published 10 May 2025

10.9734/jeai/2025/v47i53430

Abstract

The impact of digital innovations on agricultural extension education, focusing on emerging technologies and their effectiveness in enhancing knowledge dissemination. Digital tools such as mobile-based platforms, web-based systems, artificial intelligence (AI), the Internet of Things (IoT), blockchain, and ICT tools have transformed traditional extension models by improving accessibility, efficiency, decision-making, and collaboration. Mobile applications, SMS-based services, and e-learning platforms are increasingly used to provide timely, location-specific advice to farmers, resulting in productivity improvements of 20-30%. AI-driven advisory systems and IoT-based monitoring tools enhance decision-making accuracy by up to 40%, while blockchain ensures data integrity and transparency. Despite these advancements, significant challenges persist, including the digital divide, high costs of digital tools, limited digital literacy, infrastructure gaps, and socio-cultural barriers. Approximately 37% of the global population lacks internet access, particularly in rural areas where agricultural knowledge dissemination is most needed. Addressing these challenges requires developing low-cost, user-friendly technologies, promoting digital literacy, and creating inclusive digital platforms that cater to marginalized groups. The role of governments and international organizations is critical in establishing supportive policies, enhancing infrastructure, and fostering public-private partnerships to scale innovations. Integrating AI, IoT, and blockchain technologies for comprehensive, data-driven agricultural systems. Research gaps identified include inadequate long-term impact assessments and the need for effective implementation models that balance technological advancement with social inclusiveness. Addressing these gaps is essential to ensure that digital innovations contribute effectively to agricultural knowledge dissemination, productivity enhancement, and food security.

Digital agriculture extension education mobile platforms artificial intelligence internet of things blockchain

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