{"id":"arvalis_2958","title":"High throughput phenotyping of cereal x alfalfa mixed crops","year":2025,"publisher":"Arvalis","excerpt":"[Poster] Identifying individual species within mixed or associated cover crops would provide a better understanding of plant behavior in environments that are naturally more varied and stressful than those found in conventional agriculture. Therefore, developing algorithms capable of accurately deli…","url":"https://rd-agri.fr/detail/DOCUMENT/arvalis_2958","links":{"self":"/rd-agri/documents/arvalis_2958"},"description":"[Poster] Identifying individual species within mixed or associated cover crops would provide a better understanding of plant behavior in environments that are naturally more varied and stressful than those found in conventional agriculture. Therefore, developing algorithms capable of accurately delimiting each pixel in an image and assigning it to the corresponding species class is essential for accessing traits of varietal interest.","language":null,"keywords":[],"project":{"code":"25PIT201","name":"Programme transversal 2025 « Mobilisation du levier du numérique pour soutenir la conception, le pilotage, le déploiement et la valorisation de systèmes de production agricole innovants et performants »"},"notice-url":"https://hal.science/hal-05562717v1","document-url":"https://hal.science/hal-05562717v1","productions":[],"taxa":[],"production-systems":[],"areas":[],"pests":[]}