Ear density estimation from high resolution RGB imagery using deep learning technique

Autor: Xiuliang Jin, Simon Madec, Frédéric Baret, Shouyang Liu, Emmanuelle Heritier, Benoit de Solan, Florent Duyme, Hao Lu

Publikováno v: Agricultural and Forest Meteorology
Agricultural and Forest Meteorology, Elsevier Masson, 2019, 264, pp.225-234. ⟨10.1016/j.agrformet.2018.10.013⟩

International audience; Wheat ear density estimation is an appealing trait for plant breeders. Current manual counting is tedious and inefficient. In this study we investigated the potential of convolutional neural networks (CNNs) to provide accurate

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fbafe6b59a74fe5feed47a9408323ac
https://doi.org/10.1016/j.agrformet.2018.10.013