Artemis Project

The Artemis project is transforming how crop traits are measured by replacing manual scoring with artificial intelligence (AI) tools that work on smartphones. Designed for public breeding programs in the Global South, Artemis supports field technicians and breeders with digital tools that are accurate, fast, and easy to use, even in remote or low-resource settings. By making data collection easier, cheaper, and more reliable, Artemis enables large-scale, high-quality phenotyping giving breeders better data to select the best varieties. This is essential, as climate change, emerging diseases, and changing consumer demands require faster variety development than the current 10-year release cycle can deliver. 

Using computer vision, Artemis identifies and counts plants, flowers, pods, and visible symptoms of disease. The data is collected in the field and processed immediately, helping breeders make faster and more informed decisions. Artemis also explores the use of voice data and image analysis together (multi-modal integration), expanding possibilities for collecting and interpreting farmer feedback in real-world conditions. 

Artemis is product-driven, with tools developed in close collaboration with national partners and CGIAR centers. These tools are already being used for crops such as beans, cowpeas, and sorghum. The ONA phenotyping app: a simple smartphone tool used for field data collection is a key example of how Artemis is moving beyond prototypes to practical solutions that work in the field. 

We collaborate with national research institutions and global tech leaders:  

TARI, IITA, CIMMYT, CIP, CERAAS, Colorado State University, Google Research, Mineral, London School of Economics 

Funded by the Gates Foundation

Coordinated by the Alliance of Bioversity International and CIAT from Arusha, Tanzania 

Learn more about our tools, team, and plans for the future below. Let’s build the future of phenotyping together.