Agricultural Robotics and Autonomy

This section covers machine perception, robotic manipulation, and autonomous navigation in both agriculture and aquaculture. Sensor and actuator selection, software architecture, and fleet integration with data-centric infrastructures are discussed. The objective is to reduce costs, improve quality, and increase safety and scalability of operations.

Autonomous Sea Cage Feeding Economics

Autonomous Sea Cage Feeding Economics

Autonomous feeding using underwater cameras, fish behavior models, and USVs can refine when, how much, and where feed is delivered, cut waste, and link sea cage expansion with fish welfare and seabed monitoring.

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Low Input Deep Vision Spot Spraying in Iran

Low Input Deep Vision Spot Spraying in Iran

Field robots with deep vision target weeds and disease spots through real-time detection and localized dose delivery, shifting pesticide use from uniform spraying to precise microdosing. This lowers input costs and environmental risk on farms.

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