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Improving pearl millet yield estimation from UAV imagery in the semiarid agroforestry system of Senegal through textural indices and reflectance normalization. Diene Serigne Mansour, Diack Ibrahima, Audebert Alain, Roupsard Olivier, Leroux Louise, Diouf Abdoul Aziz, Mbaye Modou, Fernandez Romain, Diallo Moussa, Sarr Idrissa. 2024. IEEE Access, 12 : 132626-132643.

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.

UAV method based on multispectral imaging for field phenotyping. Mbaye Modou, Ndour Adama, Gano Boubacar, Dembele Joseph Sekou B, Luquet Delphine, Beurier Grégory, Audebert Alain. 2022. In : Crop adaptation and improvement for drought-prone environments. Ndjido A. Kane (ed.), Foncéka Daniel (ed.), Dalton Timothy J. (ed.). Manhattan : New Prairie Press, 173-187. ISBN 978-1-944548-46-9

Assessment of the Faidherbia albida effect on millet yield using UAV images analysis and geostatistical techniques. Diene Serigne Mansour, Fernandez Romain, Goze Eric, Diack Ibrahima, Faye Marième, Dabo Al Housseynou, Bousso Pape Oumar Ba, Audebert Alain, Roupsard Olivier, Leroux Louise, Mbaye Modou, Diouf Abdoul Aziz, Diallo Moussa, Sarr Idrissa. 2023. . Vienne : EGU, Résumé, 2 p. General Assembly of the European Geosciences Union (EGU 2023), Vienne, Autriche, 23 Avril 2023/28 Avril 2023.