Author:
Kerkech Mohamed,Hafiane Adel,Canals Raphael
Funder
Region Centre-Val de Loire
Subject
Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry
Reference46 articles.
1. Albetis, J., Duthoit, S., Guttler, F., Jacquin, A., Goulard, M., 2017. Open Archive TOULOUSE Archive Ouverte ( OATAO ) Detection of Flavescence dorée Grapevine Disease Using Unmanned Aerial Vehicle ( UAV ) Multispectral Imagery 9, 1–20. doi:https://doi.org/10.3390/rs9040308.
2. DAMAV: Un projet interregional de detection de foyers infectieux de flavescence doree par imagerie de drone;Al-Saddik;Journée technique VITINNOV Viticulture de précision: les capteurs à la loupe DAMAV,2016
3. Arroyo, J.A., Gomez-Castaneda, C., Ruiz, E., Munoz de Cote, E., Gavi, F., Sucar, L.E., 2017. UAV technology and machine learning techniques applied to the yield improvement in precision agriculture. In: 2017 IEEE Mexican Humanitarian Technology Conference (MHTC), vol. 3, pp. 137–143. doi: https://doi.org/10.1109/MHTC.2017.8006410.
4. Bah, M.D., Hafiane, A., Canals, R., 2017. Weeds detection in UAV imagery using SLIC and the hough transform. In: 2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA), pp. 1–6. doi:https://doi.org/10.1109/IPTA.2017.8310102.
5. Deep learning based classification system for identifying weeds using high-resolution UAV imagery;Bah;Comput. Conf.,2018
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