Journal of Experimental Agriculture International

Agricultural extension systems in developing nations are increasingly transitioning from conventional, paper-intensive, and physical-contact-heavy approaches to digital, user-centric models to meet the dynamic, real-time information needs of next-generation agriculture. While several advanced digital platforms, mobile applications, and web portals exist, their widespread adoption at the grassroots level is often constrained by high development costs, complex user interfaces, continuous internet bandwidth requirements, and inadequate digital literacy among smallholder farmers. The study evaluates a simple, low-cost, and highly scalable Quick Response (QR) code–enabled digital extension model to promote paperless, demand-driven, and self-learning agricultural advisory services, conceptualized, implemented, and evaluated by Krishi Vigyan Kendra (KVK), Akola. The initiative involved the systematic curation of digital content encompassing 164 agriculture-related topics across six thematic areas: traditional cropping systems, plant protection, horticulture, veterinary science, home science, and emerging agricultural technologies. These resources were hosted on the institutional web portal and linked to strategically deployed QR codes at agri-input dealer shops, KVK campuses, and across physical extension communication materials. To assess the impact of this model, an ex-post facto empirical study was conducted involving 120 farmers exposed to the intervention in the Akola district of Maharashtra. The socio-economic profiling revealed that the majority of users were small and marginal farmers with high smartphone penetration (93.3%) and moderate to high digital literacy. The findings demonstrated a high level of system awareness (84.8%) and regular utilization. The paired t-test indicated a highly significant (t = 18.62, p < 0.01) increase in technical knowledge following exposure to the QR-based content. Furthermore, 71.6% of respondents reported partial to full adoption of the recommended practices. The computed Digital Extension Effectiveness Index (DEEI) revealed that over 51% of users experienced high extension effectiveness, which strongly correlated with digital literacy, information access quality, and user satisfaction. The study conclusively proves that the intelligent deployment of simple, frictionless digital tools like QR codes can significantly strengthen agricultural extension delivery, reduce paper dependency, enable 24×7 self-paced learning, and provide a highly replicable pathway for sustainable, next-generation agricultural extension in developing economies.