Histogram layers for texture analysis J Peeples, W Xu, A Zare IEEE Transactions on Artificial Intelligence 3 (4), 541-552, 2021 | 42 | 2021 |
Overcoming small minirhizotron datasets using transfer learning W Xu, G Yu, A Zare, B Zurweller, DL Rowland, J Reyes-Cabrera, ... Computers and Electronics in Agriculture 175, 105466, 2020 | 36 | 2020 |
Chemoresponsive nanofluidic pump that turns off in the presence of lead ion X Wu, J Experton, W Xu, CR Martin Analytical chemistry 90 (12), 7715-7720, 2018 | 24 | 2018 |
Weakly supervised minirhizotron image segmentation with mil-cam G Yu, A Zare, W Xu, R Matamala, J Reyes-Cabrera, FB Fritschi, ... European Conference on Computer Vision, 433-449, 2020 | 14 | 2020 |
A stepwise clustered hydrological model for addressing the temporal autocorrelation of daily streamflows in irrigated watersheds K Li, G Huang, S Wang, B Baetz, W Xu Water Resources Research 58 (2), e2021WR031065, 2022 | 12 | 2022 |
Reliability of gan generated data to train and validate perception systems for autonomous vehicles W Xu, N Souly, PP Brahma Proceedings of the ieee/cvf winter conference on applications of computer …, 2021 | 12 | 2021 |
PRMI: A dataset of minirhizotron images for diverse plant root study W Xu, G Yu, Y Cui, R Gloaguen, A Zare, J Bonnette, J Reyes-Cabrera, ... arXiv preprint arXiv:2201.08002, 2022 | 9 | 2022 |
The plasticity of early root development in Sesamum indicum L. as influenced by genotype, water, and nutrient availability RM Gloaguen, ZT Brym, J Peeples, W Xu, HC Chun, DL Rowland Rhizosphere 21, 100457, 2022 | 5 | 2022 |
Spatial and texture analysis of root system distribution with Earth mover’s distance (STARSEED) J Peeples, W Xu, R Gloaguen, D Rowland, A Zare, Z Brym Plant Methods 19 (1), 2, 2023 | 3 | 2023 |
Divergence regulated encoder network for joint dimensionality reduction and classification J Peeples, S Walker, C McCurley, A Zare, J Keller, W Xu IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 3 | 2022 |
Nappn annual conference abstract: Weakly-supervised plant root segmentation with graph convolutional networks Y Cui, W Xu, G Yu, R Gloaguen, A Zare, J Bonnette, J Reyes-Cabrera, ... NAPPN Annual Conference, 2023 | 1 | 2023 |
Human-Centered Machine Learning for Plant Root Analysis and Characterization X Guo, W Xu, Y Cui, J Bonnette, R Matamala, FB Fritschi, TE Juenger, ... ASA, CSSA, SSSA International Annual Meeting, 2022 | 1 | 2022 |
PRMI: A Dataset of Minirhizotron Images for Diverse Plant Root Studies W Xu, G Yu, Y Cui, R Gloaguen, A Zare, J Bonnette, J Reyes-Cabrera, ... AI for Agriculture and Food Systems, 2022 | 1 | 2022 |
NAPPN Annual Conference Abstract: A Pipeline for Individual Root Feature Extraction in Minirhizotron Image Y Cui, W Xu, G Yu, R Gloaguen, A Zare, J Bonnette, J Reyes-Cabrera, ... NAPPN Annual Conference, 2023 | | 2023 |
Spatial and Texture Analysis of Root System Architecture with Earth Mover’s Distance (STARSEED) J Peeples, W Xu, R Gloaguen, D Rowland, A Zare, Z Brym bioRxiv, 2021.08. 31.458446, 2021 | | 2021 |
Early Non-Dehiscent Sesame Root Development Responses to Varying Soil Moisture and Nutrients Content RM Gloaguen, DL Rowland, HC Chung, J Peebles, W Xu, A Zare, ... ASA, CSSA and SSSA International Annual Meetings (2019), 2019 | | 2019 |
New Approaches to Characterize the Root System Architecture Response of a Drought-Tolerant Crop to Varying Soil Moisture Levels RM Gloaguen, J Peeples, W Xu, ZT Brym, DL Rowland, A Zare, ... ASA, CSSA and SSSA International Annual Meetings (2020)| VIRTUAL, 0 | | |