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Aerial Images and Convolutional Neural Network for Cotton Bloom Detection

Monitoring flower development can provide useful information for production management, estimating yield and selecting specific genotypes of crops. The main goal of this study was to develop a methodology to detect and count cotton flowers, or blooms, using color images acquired by an unmanned aeria...

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Publié dans:Front Plant Sci
Auteurs principaux: Xu, Rui, Li, Changying, Paterson, Andrew H., Jiang, Yu, Sun, Shangpeng, Robertson, Jon S.
Format: Artigo
Langue:Inglês
Publié: Frontiers Media S.A. 2018
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC5820543/
https://ncbi.nlm.nih.gov/pubmed/29503653
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fpls.2017.02235
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