Towards low-cost image-based plant phenotyping using reduced-parameter CNN
(2018)
Presentation / Conference Contribution
Atanbori, J., Chen, F., French, A. P., & Pridmore, T. (2018, September). Towards low-cost image-based plant phenotyping using reduced-parameter CNN. Presented at CVPPP 2018: Workshop on Computer Vision Problems in Plant Phenotyping
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.