In episode 3, the team describes how the world’s largest set of annotated wheat images was prepared for the wheat head detection competition.
Go further with the Global Wheat Head Dataset 2021 paper, the updated version of the dataset behind the competition.
Counting wheat heads by hand is slow, tedious and error-prone. In this first episode of the Global Wheat Challenge series, the team explains why a better way was needed and how image analysis can deliver it.
Discover how Literal transforms crop research by automating plant trait assessment, offering precision, consistency, and data interoperability compared to manual methods.
Discover how Literal’s robust hardware and integrated software automate complex plant trait detection and assessment from high-resolution imagery.
In episode 5, the team reviews the most effective data preparation and modelling strategies that competitors used to detect wheat heads.
Ready to elevate your phenotyping capabilities? We're here to help you achieve more precise and insightful results. Connect with our team today to discuss your specific needs and discover how our solutions can transform your research.
