Author:
Barth R.,Hemming J.,Van Henten E.J.
Funder
European Commission in the Horizon2020 Programme
Dutch Ministry of Economic Affairs
Subject
Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry
Reference44 articles.
1. Robust pixel-based classification of obstacles for robotic harvesting of sweet-pepper;Bac;Comput. Electron. Agric.,2013
2. Harvesting robots for high-value crops: state-of-the-art review and challenges ahead;Bac;J. Field Robot.,2014
3. Barth, R., IJsselmuiden, J., Hemming, J., Henten, E.V., 2017. Synthetic bootstrapping of convolutional neural networks for semantic plant part segmentation, Comput. Electron. Agric. doi:https://doi.org/10.1016/j.compag.2017.11.040.
4. Barth, R., IJsselmuiden, J., Hemming, J., Henten, E.V., 2017. Data synthesis methods for semantic segmentation in agriculture: a capsicum annuum dataset, Comput. Electron. Agric. doi: 10.1016/j.compag.2017.12.001.
5. Practical Recommendations for Gradient-Based Training of Deep Architectures;Bengio,2012
Cited by
38 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献