AI is increasingly being used in fisheries to improve efficiency and product quality, from stock assessments and bycatch monitoring to onboard processing systems. Companies like Carsoe are incorporating AI and machine learning to optimize processing steps and standardize product quality across vessels, while firms like ThisFish are using AI for supply chain traceability and quality control. These technologies aim to boost profits by enhancing fish quality and reducing operational inefficiencies, with potential benefits in both at-sea and land-based seafood processing.

A research team led by Michigan State University has received a $1 million grant to develop AI-driven solutions to monitor piglet and sow behavior, aiming to reduce piglet preweaning mortality. The project uses computer vision to track piglet nursing patterns and teat function, providing data to improve husbandry practices and support research in areas like animal welfare and nutrition. The findings will help standardize practices and enhance piglet survival rates, with the potential for broader application across the pork industry.

AI is being applied in Australian agriculture to improve efficiency in tasks such as weed targeting, early detection of livestock illnesses, and water management through the use of sensors, drones, and robotics. These technologies allow for more precise interventions, reduced chemical use, and enhanced monitoring, contributing to incremental improvements in productivity and sustainability in farming practices.

Fortifi’s partnership with Völur uses AI to analyze data from automated meat processing equipment in real time. The AI optimizes cutting and processing by adjusting decisions based on inventory levels and the specific characteristics of each carcass. This ensures that each cut maximizes meat yield, reduces waste, and lowers the environmental impact by improving efficiency and minimizing CO2 emissions during production.

MarineSitu develops rugged, low-cost marine monitoring systems using advanced cameras, sonar, and machine learning to improve biomass estimation and health monitoring in aquaculture. Their technology is designed for harsh marine environments, and they are expanding into aquaculture with support from government grants and investment from Hatch Blue's accelerator program.

Proteine Resources uses AI for automated monitoring of insect farming conditions, ensuring optimal environments for larvae growth. The AI-driven system enhances operational efficiency by adjusting variables such as temperature, humidity, and feeding schedules, enabling sustainable, scalable production of high-protein insect-based products for animal feed and human consumption.

Biomatter, MicroHarvest, and Vivici are start-ups using AI and fermentation to develop functional and scalable proteins for food and other industries. Biomatter combines generative AI with physics for enzyme design, MicroHarvest focuses on rapid biomass fermentation for sustainable protein production, and Vivici uses precision fermentation to create whey proteins for diverse food applications.

Alstom and Flox are trialing an AI wildlife detection system on Swedish railways to reduce train-animal collisions, with the technology identifying animals and using tailored sound signals to deter them. The project, funded by a Swedish government grant, aims to enhance both rail safety and wildlife protection by preventing the approximately 5,000 annual animal collisions on Sweden's tracks.

Seremoni, launched by Saif Khawaja through Shinkei Systems, automates the humane Japanese ike jime fish dispatch method using AI-powered robotics, enhancing fish quality and shelf life. By offering a more sustainable and humane fishing process, Seremoni aims to disrupt the American seafood market, starting with black cod and black sea bass, while also improving profitability for fishermen.