Polybee is building autonomous drone solutions for pollination in indoor greenhouse farming. We have developed a novel patent-pending method of pollination with drones called Aerodynamically Controlled Pollination. This is a bio-inspired approach; the turbulent wake of drones is optimized to vibrate the flowers at just the right frequencies, much like the bumblebees when they buzz-pollinate. With this method, we can pollinate tomatoes, pepper, eggplant, and strawberries: the biggest crops in the greenhouse sector. Our core pillars of technology are automation of micro-drones, computer vision for perception and analytics, and a software platform for deployment and visualization. In this project, you will be involved in development of computer vision pipelines to do crop measurements and liaise with our robotics and horticulture teams.
As a computer vision intern at Polybee, you will be working on developing and deploying deep learning and image processing pipelines for high throughput phenotyping. You will be using data from a multitude of sensors (stereo-camera/NIR/thermal/climate) to derive valuable insights on plant morphology, plant health and detect stress, diseases, etc. This involves translating cutting-edge research into cost-effective, scalable industry solutions. If working on interesting real-world problems in a fast-paced multi-disciplinary team excites you, Polybee wants to hear from you!
