Datasets and Scripts

^{Dr. Sindhuja Sankaran} _{Phenomics Lab}

Datasets

Zhang, C., Umani, K., McGee, R.J., Vandemark, G. J., and Sankaran, S. 2023. A pulse crop dataset of agronomic traits and multispectral images from multiple environments [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.10456829.

Sangjan, W., McGee, R.J., and Sankaran, S. 2023. Evaluation of forage quality in a pea breeding program using a hyperspectral sensing system [Dataset]. Zenodo, https://doi.org/10.5281/zenodo.7809305.

Sexton, T., Sankaran, S., and Cousins, A. 2021. Predicting photosynthetic capacity in tobacco (Nicotiana tabacum) using shortwave infrared spectral reflectance [Dataset]. Zenodo, https://doi.org/10.5281/zenodo.4480331.

Marzougui, A., Ma, Y., McGee, R.J., Khot, L., and Sankaran, S. 2020. Generalized Linear Model with Elastic Net Regularization and Convolutional Neural Network for Evaluating Aphanomyces Root Rot Severity in Lentil [Dataset]. In Plant Phenomics. Zenodo. https://doi.org/10.5281/zenodo.4018168.

Scripts

Zhang, C., Hinojosa, L., Murphy, K., and Sankaran, S. 2021. Seed color and size analysis using sample quinoa images. Zenodo, https://doi.org/10.5281/zenodo.5752124.

Zhang, C., and Sankaran, S. 2020. Semi-automated plot segmentation and image features extraction from UAV-based orthomosaic images in Matlab (V1.0). Zenodo, https://doi.org/10.5281/zenodo.4631229.