| Paclobutrazol induces tolerance in tomato to deficit irrigation through diversified effects on plant morphology, physiology and metabolism S Pal, J Zhao, A Khan, NS Yadav, A Batushansky, S Barak, B Rewald, ... Scientific reports 6 (1), 39321, 2016 | 79 | 2016 |
| Root architecture simulation improves the inference from seedling root phenotyping towards mature root systems J Zhao, G Bodner, B Rewald, D Leitner, KA Nagel, A Nakhforoosh Journal of experimental botany 68 (5), 965-982, 2017 | 55 | 2017 |
| Phenotyping: using machine learning for improved pairwise genotype classification based on root traits J Zhao, G Bodner, B Rewald Frontiers in plant science 7, 1864, 2016 | 44 | 2016 |
| Deep learning in hyperspectral image reconstruction from single RGB images—A case study on tomato quality parameters J Zhao, D Kechasov, B Rewald, G Bodner, M Verheul, N Clarke, JL Clarke Remote Sensing 12 (19), 3258, 2020 | 40 | 2020 |
| Root traits of European Vicia faba cultivars—Using machine learning to explore adaptations to agroclimatic conditions J Zhao, P Sykacek, G Bodner, B Rewald Plant, cell & environment 41 (9), 1984-1996, 2018 | 30 | 2018 |
| Early decay detection in fruit by hyperspectral imaging–Principles and application potential D Min, J Zhao, G Bodner, M Ali, F Li, X Zhang, B Rewald Food Control 152, 109830, 2023 | 26 | 2023 |
| Improved field-based soybean seed counting and localization with feature level considered J Zhao, A Kaga, T Yamada, K Komatsu, K Hirata, A Kikuchi, M Hirafuji, ... Plant Phenomics 5, 0026, 2023 | 23 | 2023 |
| Deep-learning-based multispectral image reconstruction from single natural color RGB image—Enhancing UAV-based phenotyping J Zhao, A Kumar, BN Banoth, B Marathi, P Rajalakshmi, B Rewald, ... Remote Sensing 14 (5), 1272, 2022 | 21 | 2022 |
| Combining image analyses tools for comprehensive characterization of root systems from soil-filled rhizobox phenotyping platforms M Alsalem, A Salehi, J Zhao, B Rewald, G Bodner Int. Agrophys 35 (3), 257-268, 2021 | 8 | 2021 |
| Plasticity of biomass allometry and root traits of two tomato cultivars under deficit irrigation× chemically induced drought hardening by Paclobutrazol J Zhao, B Rewald, N Lazarovitch, S Rachmilevitch Irrigation Science 35, 501-514, 2017 | 8 | 2017 |
| Paclobutrazol induces tolerance in tomato to deficit irrigation through diversified effects on plant morphology, physiology and metabolism. Sci. Rep. 6, 39321 S Pal, J Zhao, A Khan, NS Yadav, A Batushansky, S Barak, B Rewald, ... doi. org/10.1038/srep3 9321, 2016 | 7 | 2016 |
| Phenotyping‐Modelling Interfaces to Advance Breeding for Optimized Crop Root Systems G Bodner, D Leitner, B Rewald, J Zhao, A Nakhforoosh, A Schnepf The Root Systems in Sustainable Agricultural Intensification, 375-424, 2021 | 5 | 2021 |
| Endmember-assisted camera response function learning, toward improving hyperspectral image super-resolution performance J Zhao, Y Qu, S Ninomiya, W Guo IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2022 | 3 | 2022 |
| Predicting Soil Organic Matter, Available Nitrogen, Available Phosphorus and Available Potassium in a Black Soil Using a Nearby Hyperspectral Sensor System S Wan, J Hou, J Zhao, N Clarke, C Kempenaar, X Chen Sensors 24 (9), 2784, 2024 | 2 | 2024 |
| Transformer in UAV Image-Based Weed Mapping J Zhao, TW Berge, J Geipel Remote Sensing 15 (21), 5165, 2023 | 2 | 2023 |
| LDNet: High Accuracy Fish Counting Framework using Limited training samples with Density map generation Network X Li, Y Zhuang, B You, Z Wang, J Zhao, Y Gao, D Xiao Journal of King Saud University-Computer and Information Sciences 36 (7), 102143, 2024 | 1 | 2024 |
| PPCL-RSE: Point prediction for counting and localization of litopenaeus vannamei fry with region-based super-resolution enhancement X Li, Y Wu, Y Gao, J Lyu, Z Wang, Z Cui, J Zhao, Y Guo Smart Agricultural Technology 8, 100440, 2024 | 1 | 2024 |
| Influence of paclobutrazol on tomato root architecture J Zhao, B Rewald, N Lazarovitch, S Rachmilevitch Geophysical Research Abstracts, 1-15, 2012 | 1 | 2012 |
| A Fully Connected Network (FCN) Trained on a Custom Library of Raman Spectra for Simultaneous Identification and Quantification of Components in Multi-Component Mixtures J Zhao, K Kusnierek Coatings 14 (9), 1225, 2024 | | 2024 |
| SPCN: An Innovative Soybean Pod Counting Network Based on HDC Strategy and Attention Mechanism X Li, Y Zhuang, J Li, Y Zhang, Z Wang, J Zhao, D Li, Y Gao Agriculture 14 (8), 1347, 2024 | | 2024 |
