Détection automatique de plantes au sein d’images aériennes de champs par apprentissage non supervisé et approche multi-agents
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Publisher
Cellule MathDoc/CEDRAM
Link
https://roia.centre-mersenne.org/item/10.5802/roia.12.pdf
Reference30 articles.
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3. [3] Burke, Marshall; Lobell, David B. Satellite-based assessment of yield variation and its determinants in smallholder African systems, Proceedings of the National Academy of Sciences, Volume 114 (2017) no. 9, pp. 2189-2194
4. [4] García-Martínez, Héctor; Flores-Magdaleno, Héctor; Khalil-Gardezi, Abdul; Ascencio-Hernández, Roberto; Tijerina-Chávez, Leonardo; Vázquez-Peña, Mario A; Mancilla-Villa, Oscar R Digital Count of Corn Plants Using Images Taken by Unmanned Aerial Vehicles and Cross Correlation of Templates, Agronomy, Volume 10 (2020) no. 4, 469, 16 pages
5. [5] Gnädinger, Friederike; Schmidhalter, Urs Digital counts of maize plants by unmanned aerial vehicles (UAVs), Remote sensing, Volume 9 (2017) no. 6, 544, 15 pages
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