| 1. |
Noshita, K. , Characterization of foliage structures using persistent homology analysis, IPPS2022, 2022.09. |
| 2. |
Noshita, K. , Morphometrics and its applications, Mathematical methods for the studies of flow, shape, and dynamics, 2021.08. |
| 3. |
Noshita, K., Quantitative Representation of Plant Style as Spacial Pattern of Foliage for Morphometrics on ill-defined Homology, Phenome2020, 2020.02. |
| 4. |
Toda, Y., Noshita, K., Fujita M., Nakamichi N., Okura, F., Kinoshita T., Shinozaki K., A unified framework for image-based plant phenotyping under controlled growth environment: From image acquisition to phenotype interpretation, 6th International Plant Phenotyping Symposium, 2019.10. |
| 5. |
Noshita, K., Guo, W., Outline-based morphometrics and geometric analysis for leaf shapes in a three-dimensional space, 6th International Plant Phenotyping Symposium, 2019.10. |
| 6. |
Noshita, K, 3D high through-put phenotyping for Smart agriculture, International Smart Agriculture Symposium, 2019.09. |
| 7. |
Noshita, K., 3D field phenotyping of canopy development in soybean, PBIO Seminar, 2018.11. |
| 8. |
Noshita, K., Guo, W. , Model-based phenotyping of soybean canopies in early stage under a field condition with a photogrammetry studio, IPPS2018, 2018.10. |
| 9. |
Noshita, K. and Guo, W. , Model-based morphometrics for plant phenotyping, SMB-JSMB 2018, 2018.07. |
| 10. |
Noshita, K., Guo, W., Kaga A. and Iwata, H., An image processing pipeline for acquiring 3D morphological information from “noisy” point cloud data, 2017 CIGR World Workshop in Matsuyama, 2017.09. |
| 11. |
Noshita, K., Guo, W., Kaga A. and Iwata, H. , 3D Point Cloud Phenotyping of Soybean Growth in Early Stage, PAG XXV, 2017.01. |
