Scinovex
article Open Access

Visual communication strategies for reaching low-literacy farming populations with extension messages

Abstract

Extension services invest heavily in printed brochures and technical bulletins, yet an estimated 38% of farming populations in developing countries cannot read them. This research evaluated the effectiveness of different visual communication strategies for delivering agricultural extension messages to low-literacy farming communities. A quasi-experimental design tested six visual formats among 284 farmers with below-primary education levels across partner communities in Lower Austria and Burgenland between March 2022 and July 2023. Message comprehension, retention at 30 days, and behavioral adoption were measured for each format. Pictorial guides achieved the highest comprehension rate (84.3%), followed by video demonstrations (79.6%). Symbol-based calendars scored lowest (41.8%). Visual literacy correlated strongly with overall comprehension (r=0.72, p<0.001). Farmers with no formal schooling showed 31.4 percentage points lower comprehension than those with partial primary education, but this gap narrowed to 12.7 points when pictorial guides replaced text-based materials. The findings suggest that extension agencies can substantially improve message reach by shifting from text-dependent to visually-driven communication formats.

Full Text

Tables and figures are in the full-text PDF.

Introduction

While European agriculture is often associated with highly educated commercial operators, a different reality persists in many rural pockets. Migrant agricultural workers, aging smallholders in marginal areas, and first-generation farmers with limited schooling still depend on extension advice yet struggle with text-heavy delivery formats [1] . The contrast between the sophistication of extension content and the reading capacity of some intended audiences creates what communication researchers call a "literacy mismatch" [2] . Visual communication has deep roots in agricultural knowledge transfer farmers have learned from watching demonstrations for centuries before printed manuals existed [3] . Modern visual approaches draw on cognitive load theory, which shows that images reduce the processing burden compared to text and enable faster comprehension even among literate populations [4] . In sub-Saharan Africa, pictorial guides for pest management and veterinary care have improved farmer decision-making in several evaluations [5] . Yet systematic comparison of different visual formats in a controlled setting remains rare. This research compared six visual communication formats for their effectiveness in reaching low-literacy farming populations with extension messages, examining not just immediate comprehension but also retention over 30 days and translation into behavioral change.

Conceptual Model

The research was built on Mayer's Cognitive Theory of Multimedia Learning [6] , which posits that learners process visual and verbal information through separate channels with limited capacity each. For low-literacy audiences, the verbal channel is constrained, making the visual channel disproportionately important. The conceptual model integrated this with Pettersson's information design framework [7] , which emphasizes clarity, simplicity, and cultural appropriateness as determinants of visual message effectiveness. Three outcome levels were hypothesized: immediate comprehension (cognitive processing), 30-day retention (memory consolidation), and behavioral adoption (transfer to practice), each influenced by both the visual format used and the individual's baseline visual literacy.

Material and Methods

Material

A quasi-experimental design with six treatment groups (one per visual format) was employed. Participants were 284 farmers with below-primary education levels recruited from agricultural cooperatives in Lower Austria and Burgenland. The six visual formats tested were: pictorial step-by-step guides, short video demonstrations, illustrated wall posters, photo-based flipcharts, animated SMS/MMS sequences, and www.extensionjournal.com symbol-based seasonal calendars. Each format delivered identical content about integrated pest management for vineyard downy mildew. Data collection ran from March 2022 to July 2023 at the University of Natural Resources and Life Sciences, Vienna.

Methods

Participants were assigned to format groups through stratified allocation matching for age, gender, and baseline visual literacy scores. Comprehension was assessed immediately after exposure using a 15-item pictorial quiz (no reading required). Retention was measured at 30 days using the same instrument. Behavioral adoption was observed during vineyard visits at two months postexposure. A Visual Literacy Assessment Tool adapted from Avgerinou's framework [8] measured baseline capacity. ANCOVA compared formats controlling for visual literacy.

Analyses used R version 4.2. Ethics approval was obtained from the university's Research Ethics Board (Protocol BOKU-REB-2022-006, February 2022).

Pilot Research

A pilot phase with 32 farmers in the Wachau Valley (excluded from the main sample) tested the clarity and cultural appropriateness of all six visual formats. Three rounds of revisions were made based on pilot feedback. Key modifications included simplifying color coding in the pictorial guides (from seven colors to four), slowing video pacing from 1.5x to 1x narration speed, and replacing abstract symbols in the calendars with locally recognizable icons. The pilot also confirmed that the pictorial comprehension quiz could differentiate performance levels without requiring any reading ability (discrimination index range: 0.34-0.71). Visual literacy was a strong predictor of comprehension across all formats (r=0.72). But the scatter shows considerable variance at lower visual literacy levels, indicating that format choice can partly compensate for limited visual processing skills. Farmers scoring below 40 on visual literacy still achieved above 50% comprehension when using pictorial guides.

Results

Discussion

The clear hierarchy of format effectiveness pictorial guides, then video, then everything else aligns with multimedia learning theory's prediction that concrete, step-by-step visual sequences reduce cognitive load most effectively [6] . Pictorial guides likely succeeded because they combined spatial sequencing with self-paced processing, allowing farmers to revisit steps without time pressure. Video demonstrations scored well on comprehension but slightly lower on retention, possibly because the transient nature of moving images makes them harder to mentally bookmark [9] . The poor performance of symbol-based calendars was somewhat unexpected, since symbols are often recommended for low-literacy audiences. But symbols require learned associations a watering can icon means irrigation only if the viewer has encountered that convention before [10] . In communities with limited exposure to standardized iconography, concrete photographs and drawings outperform abstract representations. This has direct design implications for extension material developers. That visual literacy moderated comprehension across formats (r=0.72) reinforces the argument that visual processing isn't automatic it's a skill that varies across individuals and can be developed [8] . Extension programs targeting low-literacy populations might consider visual literacy training as a prerequisite investment before deploying visual materials.

Limitations

The research tested visual formats using a single agricultural topic (vineyard downy mildew management), and effectiveness patterns may differ for other content domains. The Austrian context, while including low-literacy populations, differs from developing-country settings where most low-literacy farming occurs. Group assignment was quasi-experimental rather than fully randomized. The 30day retention window may not capture longer-term memory decay patterns. And behavioral adoption was observed at a single time point rather than tracked over a full growing season.

Conclusion

This research demonstrated that visual format choice substantially affects how well low-literacy farming populations comprehend, retain, and act on extension messages. Pictorial step-by-step guides achieved the highest performance across all three outcomes, followed by video demonstrations. Abstract formats like symbol-based calendars performed poorly. Visual literacy emerged as a strong moderator of comprehension, suggesting that investment in visual processing skills should accompany visual material deployment. Extension agencies serving low-literacy populations should prioritize concrete, sequential visual formats and avoid assuming that all imagebased approaches are equally effective.

References

  1. Burton RJF. Reconceptualising the 'behavioural approach' in agricultural studies. Journal of Rural Studies. 2004;20(3):359-371.
  2. Doak CC, Doak LG, Root JH. Teaching patients with low literacy skills. J.B. Lippincott. 1996;2nd ed:1-212.
  3. Chambers R, Pacey A, Thrupp LA. Farmer first: farmer innovation and agricultural research. Intermediate Technology Publications. 1989;1-218.
  4. Sweller J. Cognitive load during problem solving: effects on learning. Cognitive Science. 1988;12(2):257285.
  5. Bentley JW, Van Mele P. Research on farmer learning from video in Africa. Journal of Agricultural Education and Extension. 2011;17(1):107-118.
  6. Mayer RE. Multimedia learning. Cambridge University Press. 2009;2nd ed:1-304.
  7. Pettersson R. Information design: an introduction. John Benjamins. 2002;1-298.
  8. Avgerinou MD, Pettersson R. Toward a cohesive theory of visual literacy. Journal of Visual Literacy. 2011;30(2):1-19.
  9. Paivio A. Mental representations: a dual coding approach. Oxford University Press. 1986;1-322.
  10. Houts PS, Doak CC, Doak LG, Loscalzo MJ. The role of pictures in improving health communication. Patient Education and Counseling. 2006;61(2):173-190.
  11. Frost H, Andersen SE. Pictograms for patient safety: a systematic literature review. Ergonomics. 2014;57(7):1023-1036.
  12. Van Mele P. Video-mediated farmer-to-farmer learning for sustainable agriculture. Agro Insight. 2011;1-68.
  13. Bates MJ. The design of browsing and berrypicking techniques for the online search interface. Online Review. 1989;13(5):407-424.
  14. Hoffmann V. Rural communication and extension. Margraf Publishers. 2013;3rd ed:1-352.
  15. Leeuwis C. Communication for rural innovation. Blackwell Science. 2004;3rd ed:1-412.
  16. Rivera WM, Qamar MK. Agricultural extension, rural development, and the food security challenge. FAO. 2003;1-58.
  17. Clark JM, Paivio A. Dual coding theory and education. Educational Psychology Review. 1991;3(3):149-210.
  18. Kosslyn SM. Image and brain: the resolution of the imagery debate. MIT Press. 1994;1-516.
  19. Mishra A, Cesaretti GP. Information and communication technologies for agricultural extension. Springer Science. 2015;1-243.
  20. Aker JC, Ghosh I, Burrell J. The promise (and pitfalls) of ICT for agriculture initiatives. Agricultural Economics. 2016;47(S1):35-48.
Citations
0
FWCI
0.00
field-weighted impact
References
0
Percentile
78%
vs. same field & year
Citation Network

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