The Polly robotic system by Arugga AI Farming revolutionizes tomato greenhouse pollination. As pollination traditionally reliant on bumblebees, this innovative device offers a fully automated, precise, and efficient alternative, eliminating the challenges associated with bee pollination. Equipped with advanced AI and computer vision, Polly identifies tomato flowers using pattern recognition and performs pollination with targeted air pulses, ensuring optimal results. The robot operates autonomously along greenhouse rows, adapting to varying flower heights and maintaining accuracy with minimal human intervention.
Taga played a pivotal role in the design and engineering of Polly. The challenge was to create a
... read moreThe Polly robotic system by Arugga AI Farming revolutionizes tomato greenhouse pollination. As pollination traditionally reliant on bumblebees, this innovative device offers a fully automated, precise, and efficient alternative, eliminating the challenges associated with bee pollination. Equipped with advanced AI and computer vision, Polly identifies tomato flowers using pattern recognition and performs pollination with targeted air pulses, ensuring optimal results. The robot operates autonomously along greenhouse rows, adapting to varying flower heights and maintaining accuracy with minimal human intervention.
Taga played a pivotal role in the design and engineering of Polly. The challenge was to create a machine that balances the robust, utilitarian aesthetics of agricultural equipment with the sophistication of robotics. Operating under strict constraints, such as cost-effective manufacturing and durable materials, the design predominantly utilizes sheet metal. Taga addressed ergonomic and operational needs, integrating practical solutions like an onboard retractable charging cable and intuitive maintenance features.
Taga focused on designing an intuitive user interface and fleet management system to enhance the operational efficiency of Polly. The application, developed for tablet use, allows greenhouse operators to oversee an entire fleet of robots. With real-time dashboards, operators can view the status of each robot, including its pollination progress, battery levels, and maintenance needs. The interface also enables remote intervention, allowing users to assign tasks, redirect robots to other rows, or schedule recharging sessions with ease.
read lessTo design a robotic pollination system that combines advanced functionality with seamless fleet management for modern agriculture.
An autonomous, intuitive, and robust robot fleet that optimizes pollination, enhances yields, and integrates seamlessly into greenhouse operations.