Estimating above ground biomass of winter wheat at early growth stages using digital images and deep convolutional neural network
•A deep convolutional neural network is proposed to the estimate above ground biomass for winter wheat at early growth stages.•The proposed method is using RGB images of winter wheat canopy as input.•The estimated above ground biomass shows a strong correlation to the actual measurements.•The propos...
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Published in | European journal of agronomy Vol. 103; pp. 117 - 129 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.02.2019
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Subjects | |
Online Access | Get full text |
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