Scinovex
article Open Access

Exploring socio-economic and communication variables shaping farmers’ response to ICT-based agro-advisory services

Abstract

Rapid advancements in information and communication technologies (ICT) are transforming agricultural knowledge dissemination, offering scalable, timely, and location-specific advisories to smallholder farmers. The effectiveness of ICT-enabled agro-advisory services—including SMS alerts, mobile applications, interactive voice response systems, and video-mediated extension depends critically on farmers’ attitudes, which influence adoption, engagement, and translation of recommendations into practice. This study aimed to examine socio-economic and communication factors shaping farmers’ responses to ICT-based advisories in Eastern Uttar Pradesh. An ex-post facto design was employed with a stratified random sample of 384 farmers across major vegetable- and cereal-growing districts. Fourteen socio-personal and communication variables, including age, education, operational landholding, income, extension contact, mass media exposure, information-seeking behavior, and psychological attributes (achievement motivation, scientific orientation, innovativeness, economic orientation), were analyzed using structured interviews and descriptive statistics. Results indicated that the majority of farmers were middle-aged (42.89 ± 8.65 years), moderately educated, and operated marginal to small landholdings, with medium income and moderate extension and mass media exposure. Psychological readiness for adopting innovative practices was moderate. Findings highlight that socio-economic and communication characteristics substantially influence ICT engagement and adoption of safe agricultural practices. The study underscores the need for context-specific, participatory, and ICT-integrated extension strategies to optimize advisory uptake and enhance sustainable farming practices.

Agricultural Innovations and PracticesDiverse Educational Innovations StudiesSmart Agriculture and AIInformation and Communications TechnologySample (material)Mass mediaStratified samplingMobile phoneAgricultureDescriptive statistics
Citations
0
FWCI
0.00
field-weighted impact
References
0
Percentile
55%
vs. same field & year
Citation Network

How this paper connects to the literature. Drag to explore, click any node to open that paper.