Parcourir par Mots clés libres

Optimizing oil palm genomic predictions with artificial neural networks. Cros David, Rouan Lauriane, Navratil Daphné, Tchounke Billy, Leroy Nicolas, Le Squin Sandrine, Ulfah Najelaa, Nodichao Leifi, Beurier Grégory. 2025. . San Diego : PAG, Résumé, 1 p. Plant and Animal Genome Conference. 32, San Diego, États-Unis, 10 Janvier 2025/15 Janvier 2025.

Multivariate regional deep learning prediction of soil properties from near-infrared, mid-infrared and their combined spectra. Nyawasha Rumbidzai, Wadoux Alexandre M. J. C., Todoroff Pierre, Chikowo Régis, Falconnier Gatien, Lagorsse Maeva, Corbeels Marc, Cardinael Rémi. 2024. Geoderma Regional, 37:e00805, 11 p.

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.