Future of Primary Data Collection in Socio-Economic Agricultural Surveys: Leveraging Online and Artificial Intelligence platforms

Anuja, A R and Vipinkumar, V P and George, Saju (2026) Future of Primary Data Collection in Socio-Economic Agricultural Surveys: Leveraging Online and Artificial Intelligence platforms. In: Beyond Blue Horizons Training Manual for BSc (Agri) students of Kerala Agricultural University. ICAR- Central Marine Fisheries Research Institute, Kochi, pp. 96-105.

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Abstract

The drive to strengthen agricultural systems and improve the livelihoods of smallholder farmers hinges on robust, timely, and relevant socio-economic data. Surveys of farm households and rural communities provide critical insights into livelihoods, production practices, incomes, and social dynamics in agriculture. However, the conclusions drawn from such surveys very much depend on the process involved in collecting the information. Poor data collection methods lead to erroneous results of little value to policy makers. Traditionally, primary data in social sciences has been gathered through pen- and-paper interviews, site visits, and laborious manual recording. These conventional approaches, while methodologically rigorous, are increasingly limited by their cost, logistics, data entry errors, difficulty in reaching remote respondents and lengthy survey timeliness.

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