Résultats pour : "Panicule"

From prototype to inference: A pipeline to apply deep learning in sorghum panicle detection. James Chrisbin, Gu Yanyang, Potgieter Andries, David Etienne, Madec Simon, Guo Wei, Baret Frédéric, Eriksson Anders, Chapman Scott. 2023. Plant Phenomics, 5:0017, 16 p.

Crop photoperiodism model 2.0 for the flowering time of sorghum and rice that includes daily changes in sunrise and sunset times and temperature acclimation. Clerget Benoît, Sidibe M., Bueno Crisanta Sunio, Grenier Cécile, Kawakata T., Domingo Abigail J., Layaoen Heathel Loren, Gutiérrez Palacios Nury Deyanira, Bernal Jaime H., Trouche Gilles, Chantereau Jacques. 2021. Annals of Botany, 128 (1) : 97-113.

Identification and counting of sorghum panicles using artificial intelligence based drone field phenotyping. Mbaye Modou, Audebert Alain. 2021. Advances in Artificial Intelligence and Machine Learning, 1 (3) : 234-240.

Egg-laying pattern of Helicoverpa zea in sweet corn: A new pest management prospect. Rhino Béatrice, Busier D., Lenglart A., Ratnadass Alain. 2019. Southwestern Entomologist, 44 (3) : 567-576.