Data as the new bait: Scaling digital transformation in the mariculture industry

This teaching case examines AquaTech’s critical decision to overcome the ‘black box’ dilemma of open-ocean aquaculture – a traditional industry reliant on veteran farmers’ tacit knowledge for feed management in highly volatile environments. This subjectivity created severe financial and environmental risks, including costly resource waste and crippling downstream supply chain inefficiencies due to low inventory accuracy. The case details the implementation of an innovative AI system that fuses computer vision, sonar, and IoT sensors to provide real-time, empirical data on fish satiety and biomass. The AI pilot demonstrated decisive operational superiority, leading to a substantial increase in Feed Conversion Ratio (FCR) efficiency, which simultaneously drove down feed costs, significantly increased harvest yield, and reduced environmental impact. This digital transformation illustrates the profound potential for traditional industries to solve persistent challenges by adopting new technology.

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Publication Details

Journal
Journal of Information Technology Teaching Cases
Published
2026-03-21
DOI
https://doi.org/10.1177/20438869261436825
Primary Topic
Marine Bivalve and Aquaculture Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Data as the new bait: Scaling digital transformation in the mariculture industry

Chris S. C. Chen, Claude C. H. Liu
Journal of Information Technology Teaching Cases
Marine Bivalve and Aquaculture Studies
article

Data as the new bait: Scaling digital transformation in the mariculture industry

Chris S. C. Chen, Claude C. H. Liu
article en

Abstract

This teaching case examines AquaTech’s critical decision to overcome the ‘black box’ dilemma of open-ocean aquaculture – a traditional industry reliant on veteran farmers’ tacit knowledge for feed management in highly volatile environments. This subjectivity created severe financial and environmental risks, including costly resource waste and crippling downstream supply chain inefficiencies due to low inventory accuracy. The case details the implementation of an innovative AI system that fuses computer vision, sonar, and IoT sensors to provide real-time, empirical data on fish satiety and biomass. The AI pilot demonstrated decisive operational superiority, leading to a substantial increase in Feed Conversion Ratio (FCR) efficiency, which simultaneously drove down feed costs, significantly increased harvest yield, and reduced environmental impact. This digital transformation illustrates the profound potential for traditional industries to solve persistent challenges by adopting new technology.

Journal of Information Technology Teaching Cases
Audencia Business School (FR), National Taipei University (TW)
Openalex Percentile: Top 14%
Marine Bivalve and Aquaculture Studies
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