Skip to main content

Research Repository

Advanced Search

All Outputs (2)

Towards low-cost image-based plant phenotyping using reduced-parameter CNN (2018)
Conference Proceeding
Atanbori, J., Chen, F., French, A. P., & Pridmore, T. (2018). 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 a... Read More about Towards low-cost image-based plant phenotyping using reduced-parameter CNN.