DeepCount: In-Field Automatic Quantification of Wheat Spikes Using Simple Linear Iterative Clustering and Deep Convolutional Neural Networks

DeepCount: In-Field Automatic Quantification of Wheat Spikes Using Simple Linear Iterative Clustering and Deep Convolutional Neural Networks

Crop yield is an essential measure for breeders, researchers, and farmers and is composed of and may be calculated by the number of ears per square meter, grains per ear, and thousand grain weight. Manual wheat ear counting, required in breeding programs to evaluate crop yield potential, is labor-in...

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Bibliographic Details
Main Authors: Pouria Sadeghi-Tehran, Nicolas Virlet, Eva M. Ampe, Piet Reyns, Malcolm J. Hawkesford
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-09-01
Series:Frontiers in Plant Science
Subjects:
wheat ear counting
crop yield
deep learning in agriculture
semantic segmentation
superpixels
phenotyping
Online Access:https://www.frontiersin.org/article/10.3389/fpls.2019.01176/full

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