Aquaculture and Agriculture
We provide the following AI solutions (but not limited to) for aquaculture and agriculture as follows. Contact us if you request some demos.
Biomass Estimation
Biomass estimation in aquaculture is a critical AI-driven process that accurately measures the mass of farmed aquatic organisms and growth assessment to optimize production efficiency and sustainability.
Lice Control/Monitoring
Lice control and monitoring in aquaculture is an essential practice, leveraging AI technologies to detect and manage sea lice infestations in real-time, and ensuring sustainable fish farming operations.
Feed Optimization
Feed optimization in aquaculture utilizes AI algorithms to analyze and adjust feeding strategies, ensuring optimal nutrition for aquatic species while minimizing waste, improving growth rates, and enhancing the profitability of aquaculture.
Pollination
AI-driven pollination in agriculture employs advanced technologies (drone) to enhance pollination processes, optimizing crop yields and quality by ensuring effective pollinator activity, and facilitating the strategic placement of pollinators in agricultural environments.
Disease Control/Monitor
AI in disease control and monitoring in agriculture revolutionizes plant health management by employing predictive analytics and real-time data to identify, diagnose, and treat crop diseases early, minimizing damage and ensuring healthier, more robust crop yields.
Harvest
AI-driven harvest technologies in agriculture enable precise timing, automation, and efficiency in harvesting operations, optimizing yield quality and quantity through data-driven decisions, reducing labor costs, and minimizing waste for sustainable and profitable farming practices.
