Adoption of Digital Technologies

Rainbow trout farming is the cornerstone of Ontario’s freshwater aquaculture sector. Net-pen operations in Georgian Bay and the North Channel of Lake Huron account for 96% of provincial production, supporting rural employment, Indigenous economic development, and a growing domestic and international market expanding at 4.6% per year.

Despite this economic significance, digital technology adoption has stagnated. Research collected in 2023–2024 confirms Ontario lags behind analogous sectors in precision livestock and crop agriculture. Water temperatures in Lake Huron’s Manitoulin Island region have been rising steadily — making real-time environmental monitoring and predictive analytics survival tools, not peripheral improvements.

Using Q methodology and surveys of 23 industry actors — producers, researchers, input dealers, educators, and government officers — three coherent discourses emerged that cut across professional roles, underscoring the need for nuanced rather than sector-wide interventions.

The second study applied the Analytic Hierarchy Process (AHP) to pairwise comparisons among 19 stakeholders, producing a clear quantitative hierarchy for strategic action.

The AHP produced an unambiguous result: Opportunities (weight: 0.566) substantially outweighed Strengths (0.243), Weaknesses (0.123), and Threats (0.068). The dominant opportunity — efficiency and productivity cost savings (weight: 0.253) — was more than three times any individual weakness or threat factor.

Synthesising both studies, four primary barriers to digital technology adoption in Ontario rainbow trout aquaculture emerge:

Secondary barriers include limited DSS customisation for species-specific needs, increasing regulatory complexity and cybersecurity threats, and the transitional workload burden during implementation periods.

The following recommendations are sequenced by priority according to the AHP-weighted TOWS analysis. They are directed at the Ontario Ministry of Agriculture, Food and Agribusiness (OMAFA), the Ontario Aquaculture Association, and technology providers operating in the sector.

Both studies are geographically restricted to Ontario and draw on relatively small samples — constraints that reflect the limited size of the provincial industry rather than methodological shortcomings. Future research priorities include:

Longitudinal studies tracking adoption attitudes over time as technology and subsidy landscapes evolve, providing dynamic rather than static policy intelligence.

Broader stakeholder representation in future SWOT-AHP exercises, particularly from operational managers, extension specialists, and Indigenous community aquaculture representatives.

Economic modelling of cost-benefit ratios at various operational scales to produce credible, concrete ROI projections for producers.

Cross-jurisdictional comparative research examining how analogous Canadian and international freshwater aquaculture sectors have overcome similar barriers.

Ontario’s rainbow trout aquaculture sector possesses the infrastructure, market position, and entrepreneurial capacity to lead a digital transformation that could redefine freshwater aquaculture productivity in Canada. The opportunities — cost savings, efficiency gains, productivity improvements, and climate adaptation through real-time monitoring — vastly outweigh the barriers.

The barriers are not primarily technological. They are human, institutional, and financial: a workforce that needs upskilling; a regulatory environment that has not kept pace with data-intensive farming; and cost structures that disadvantage smaller producers. Targeted, evidence-informed policy interventions will unlock the sector’s full potential.

This policy brief synthesises findings from the following peer-reviewed studies: