All Outputs (2)

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. Paper presented at British Machine Vision Conference 2018, BMVC 2018, Northumbria University

© 2018. The copyright of this document resides with its authors. 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, thes... Read More about Towards Low-Cost Image-based Plant Phenotyping using Reduced-Parameter CNN..

Classification of bird species from video using appearance and motion features (2018)
Journal Article
Atanbori, J., Duan, W., Shaw, E., Appiah, K., & Dickinson, P. (2018). Classification of bird species from video using appearance and motion features. Ecological informatics, 48, 12-23. https://doi.org/10.1016/j.ecoinf.2018.07.005

The monitoring of bird populations can provide important information on the state of sensitive ecosystems; however, the manual collection of reliable population data is labour-intensive, time-consuming, and potentially error prone. Automated monitori... Read More about Classification of bird species from video using appearance and motion features.