Meet Bruno: The AI Robot Revolutionizing Bean Breeding in Uganda
To breed resilient, productive, and nutritious bean varieties, accurate, efficient, and cost-effective data collection is essential. Traditionally, breeding programs depended heavily on human observation, sometimes supported by mobile data collection apps. But, manual phenotyping is time consuming, labor intensive, prone to error, and slows down selection cycles and drives up costs of breeding. In early 2025, researchers at the Alliance