| Image-based tracking of ripening in wheat cultivar mixtures: A quantifying approach parallel to the conventional phenology A Haghshenas, Y Emam Computers and Electronics in Agriculture 156, 318-333, 2019 | 13 | 2019 |
| Effect of mixed cropping of an early-and a middle-ripening wheat cultivar on mitigation of competition during post-anthesis moisture stress A Haghshenas, Y Emam, H Ghadiri, SA Kazemeini, HAA KAMGAR JOURNAL OF AGRICULTURAL SCIENCE AND TECHNOLOGY (JAST) 15 (3), 491-503, 2013 | 11 | 2013 |
| Accelerating leaf area measurement using a volumetric approach A Haghshenas, Y Emam Plant Methods, 2022 | 7 | 2022 |
| Wheat grain width: a clue for re-exploring visual indicators of grain weight A Haghshenas, Y Emam, S Jafarizadeh Plant Methods 18 (58), 2022 | 7 | 2022 |
| Can extended phenology in wheat cultivar mixtures mitigate post-anthesis water stress? A Haghshenas, Y Emam, AR Sepaskhah, M Edalat European Journal of Agronomy 122, 2021 | 7 | 2021 |
| Green-gradient based canopy segmentation: A multipurpose image mining model with potential use in crop phenotyping and canopy studies A Haghshenas, Y Emam Computers and Electronics in Agriculture 178, 105740, 2020 | 5 | 2020 |
| Green trend of light extinction in canopy: new construction on image mining A Haghshenas, Y Emam https://doi.org/10.1101/241786, 2018 | 2 | 2018 |
| Green-gradient based canopy segmentation: a multipurpose image mining technique with potential use in crop phenotyping and canopy studies A Haghshenas, Y Emam bioRxiv, 2018 | 1 | 2018 |
| Diverse Canopy of Wheat Cultivar Mixtures: A Comprehensive Image Dataset for Phenotyping, Phenology, and Water Stress Studies A Haghshenas https://zenodo.org/records/10694706, 2024 | | 2024 |
| Easy Quadrat (v.1.0) A Haghshenas https://github.com/haqueshenas/Easy-Quadrat, 2024 | | 2024 |
| Optical Leaf Area (v. 1.0.0) A Haghshenas, Y Emam https://github.com/haqueshenas/Optical-Leaf-Area, 2022 | | 2022 |
| Visual Grain Analyzer (VGA v.1.0.1) A Haghshenas, SJ Yahya Emam https://github.com/haqueshenas/Visual-Grain-Analyzer, 2022 | | 2022 |
| Canopy GSM (a code for: Green-gradient based canopy segmentation: A multipurpose image mining model with potential use in crop phenotyping and canopy studies) Abbas Haghshenas, Yahya Emam, Saeid Jafarizadeh https://codeocean.com/capsule/1652693/tree/v1, 2020 | | 2020 |
| The double-edge sword of heterogeneous ripening pattern in winter wheat cultivar mixtures: A case study under post-anthesis water stress A Haghshenas, Y Emam, AR Sepaskhah, M Edalat BioRxiv, 2019 | | 2019 |
| Evidence for relative grain yield simulation by red color level of beneath-canopy soil at wheat booting phase: An unexpected observation using image processing A Haghshenas, Y Emam Computers and Electronics in Agriculture 162 (C), 1028-1034, 2019 | | 2019 |
| Canopy CCGR (a code for: Image-based tracking of ripening in wheat cultivar mixtures: A quantifying approach parallel to the conventional phenology) version 2 A Haghshenas, Y Emam, S Jafarizadeh http://doi.org/czrs, 2019 | | 2019 |
Yahya EmamProfessor of Crop Production, Shiraz University在 shirazu.ac.ir 的电子邮件经过验证
