Raw Fish
CASE STUDY:
SMART MANAGEMENT SYSTEM FOR AQUACULTURE

With the majority of our food imported, local production is important to reduce our reliance on food imports. It can also provide a buffer in the event of supply disruptions. Through this project, our goal is to build up our agri-food industry’s capability and capacity to produce 30% of our nutritional needs locally and sustainably by 2030.

Key Challenges

  • Fish production is conducted manually by 2 workers. This is time-consuming and labor intensive.

  • Manual process is non-deterministic, hence it is not possible to check for overfeeding nor underfeeding.

  • Feeding may cause issues to the water quality, hence increasing risk factor for the farmer. Water quality will impact the quantity and quality of the final product (fish).

  • Unable to perform profiling or analytics on the fish-feeding versus fish-growth, fish feeding represent 40-50% of the total production cost.

  • Fish farms have difficulties attracting investors and meeting customer demands.

Goals

  • We’re working towards ’30 by 30’ – to build up our agri-food industry’s capability and capacity toproduce 30% of our nutritional needs locally and sustainably by 2030.

  • This target also features in the Singapore Green Plan 2030, and will help build a more resilient food future.

Solution

Software used:

AVEVA Edge | AVEVA Historian | AVEVA Insight | Automation and IoT enabled fish farms

Automation/IoT Scope
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RESULTS

Rather than focusing on fish feeding, workers can research on improving and increase the overall quantity and quality of the product itself (fish).

 

For instance, they can monitor multiple ponds at the same time, and improve the process of moving the fish out of the pond when it is ready to do so.

Workers: Move away from time-consuming and labour intensive work.

Farm Manager: Better manpower and raw material resource planning (reduce wastage – better for the environments)

Investor: Higher confidence for better deterministic process / ROI.

Customers: Have higher confidence for a better product (Better production results in better economical value).

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