Towards low-cost image-based plant phenotyping using reduced-parameter CNN

Towards low-cost image-based plant phenotyping using reduced-parameter CNN

Segmentation is the core of most plant phenotyping applications. Current state-of-the-art plant phenotyping applications rely on deep Convolutional Neural Networks (CNNs). However, these networks have many layers and parameters, increasing training and test times. Phenotyping applications relying on...

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Bibliographic Details
Main Authors: Atanbori, John, Chen, Feng, French, Andrew P., Pridmore, Tony P.
Format: Conference or Workshop Item
Language:English
Published: 2018
Online Access:https://eprints.nottingham.ac.uk/54696/

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