Image Based Plant Phenotyping: The PhenoSorg Project

Sorghum Analytics

Publications

1) J. Ribera, D. Guera, Y. Chen, and E. J. Delp, "Locating Objects Without Bounding Boxes", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2019, Long Beach, CA. link

2) Y. Chen, S. Baireddy, E. Cai, C. Yang, and E. J. Delp, "Leaf Segmentation by Functional Modeling", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, June 2019, Long Beach, CA. link

3) Y. Chen, J. Ribera, and E. J. Delp, "Estimating Plant Centers Using A Deep Binary Classifier", Proceedings of the Southwest Symposium on Image Analysis and Interpretation (SSIAI), April 2018, Las Vegas, NV. doi:10.1109/SSIAI.2018.8470367

4) J. Ribera, Y. Chen, C. Boomsma, and E. J. Delp, "Counting Plants Using Deep Learning", Proceedings of the IEEE Global Conference on Signal and Information Processing (GlobalSIP), November 2017, Montreal, Canada. doi:10.1109/GlobalSIP.2017.8309180

5) Y. Chen, J. Ribera, C. Boomsma, and E. J. Delp, "Locating Crop Plant Centers from UAV-Based RGB Imagery", Proceedings of the IEEE International Conference on Computer Vision Workshops, October 2017, Venice, Italy. doi:10.1109/ICCVW.2017.238

6) Y. Chen, J. Ribera, C. Boomsma, and E. J. Delp, "Plant Leaf Segmentation For Estimating Phenotypic Traits", Proceedings of the IEEE International Conference on Image Processing (ICIP), September 2017, Beijing, China. doi:10.1109/ICIP.2017.8297010

7) J. Ribera, F. He, Y. Chen, A. F. Habib, and E. J. Delp, "Estimating Phenotypic Traits From UAV Based RGB Imagery", Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Workshop on Data Science for Food, Energy, and Water, August 2016, San Francisco, CA. https://arxiv.org/abs/1807.00498

The information, data, or work presented herein was funded in part by the Advanced Research Projects Agency-Energy (ARPA-E), U.S. Department of Energy, under Award Number DE-AR0000593. The views and opinions of the authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof.