Are AI and IoT Transforming the Fisheries and Aquaculture Industries?

On an operational level, the confluence of IoT technologies and artificial intelligence is assisting both the fisheries and aquaculture industries in becoming more sustainable and efficient.

Fremont, CA: Globally, wild fishing, sea-based fisheries, and land-based fisheries all benefit from IoT and artificial intelligence. These technologies contribute to global food security by ensuring that agricultural techniques are both economic and sustainable. As more businesses adopt technology and internalize advanced analytics and AI, we'll see a smarter, more resilient sector develop, one that can contribute to global food supply security.

Here’s how AI and IoT are changing the fisheries and aquaculture industries:

Over fishing

It is vital to ensure the sustainability of wild fish and seafood supply, and authorities now have data from satellite images, as well as data from drones or underwater IoT devices. This information can be collected and used to track catches, and vessel whereabouts, and to enforce sustainable fishing practices. The same data can be leveraged by large fishing organizations to aid with traceability and supply chain transparency. Ultimately, assisting the end consumer in being more conscientious when making purchases.

Feeding optimization

With feed accounting for a sizable amount of operational costs and both under and overfeeding having a detrimental effect on fish health and size, as well as water quality, optimizing feeding can result in considerable savings and benefits. Numerous smart fish farms, such as efishery, use feeders that rely on vibration and auditory signals to ensure more precise feeding. Additionally, the use of technology in aquaculture management improves efficiency by minimizing the requirement for labor, which is a significant economic and safety benefit for remote marine farms.

Health and welfare

Assuring the health and wellbeing of fish farms is critical, as a decline in water quality or a disease outbreak can have disastrous consequences. Early detection enables farmers to respond and enhance fish welfare before an outbreak begins. IoT sensors can offer data on fish behavior, water conditions, and physiology to smart fish farms, which can use the data to generate AI models for early identification of less-than-optimal circumstances.