Digital Literacy of Smallholder Farmers in Tanzania

Author:

Magesa Mawazo1,Jonathan Joan1,Urassa Justin2ORCID

Affiliation:

1. Department of Informatics and Information Technology, Sokoine University of Agriculture, Morogoro P.O. Box 3038, Tanzania

2. Department of Policy, Planning and Management, Sokoine University of Agriculture, Morogoro P.O. Box 3035, Tanzania

Abstract

The objective of this study was to assess the digital literacy of smallholder farmers in their agricultural production activities. Based on six proposed factors, the researchers developed questions to guide studying and measuring digital literacy (DL) of smallholder farmers. On a 5-point Likert scale, 23 questions measured the ability of smallholders to access, manage, interpret, evaluate, create and communicate agriculture information online. Moreover, 257 smallholder farmers were involved in the study. To measure DL level, descriptive statistics and mean scores for the responses were calculated. A comparison of low and high levels of DL with demographic variables was conducted. The item-wise distribution of responses show that smallholders have high DL in accessing and communicating information, while they had low DL in managing, integrating, evaluating and creating information. The item’s mean score reveals that most of the responses were average. The overall mean score for the questionnaire was 75.17 + 5.79, and based on demographic characteristics, 58.0% of the smallholders reported high DL. Overall, smallholder farmers have an average level of DL. The study findings of this study may help governments and responsible institutions to develop strategies to ensure smallholders are digitally literate and use digital technologies in agricultural activities.

Funder

Foundational Integrity Research

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Reference87 articles.

1. Kremer, M., and Houngbo, G.F. (2023, March 04). Grow Back Better? Here’s How Digital Agriculture Could Revolutionise Rural Communities Affected by COVID-19. Available online: https://www.weforum.org/agenda/2020/07/digital-agriculture-technology.

2. Dial “A” for agriculture: A review of information and communication technologies for agricultural extension in developing countries;Aker;Agric. Econ.,2011

3. Gray, B., Babcock, L., Tobias, L., McCord, M., Herrera, A., and Cadavid, R. (2018). Digital Farmer Profiles: Reimagining Smallholder Agriculture, Grameen Foundation. Available online: https://grameenfoundation.org/documents/Data_Driven_Agriculture_Web.pdf.

4. World Bank (2023, April 08). World Development Report 2016: Digital Dividends. Available online: https://openknowledge.worldbank.org/bitstream/handle/10986/23347/9781464806711.pdf.

5. The Usage of Radio and Television as Agricultural Knowledge Sources: The Case of Farmers in Morogoro Region of Tanzania;Mtega;Int. J. Educ. Dev. Using Inf. Commun. Technol.,2018

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