Items where Author is "Sadeghi-Tehran, Pouria"

Number of items: 13.
Article
  • Modeling the spatial-spectral characteristics of plants for nutrient status identification using hyperspectral data and deep learning methods. (2023) Okyere, Frank, Cudjoe, Daniel, Sadeghi-Tehran, Pouria, Virlet, Nicolas, Riche, Andrew, Castle, March, Greche, Latifa, Simms, D., Mhada, M., Mohareb, F., Hawkesford, Malcolm
  • Machine Learning Methods for Automatic Segmentation of Images of Field and Glasshouse Based Plants for High Throughput Phenotyping. (2023) Okyere, Frank, Cudjoe, Daniel, Sadeghi-Tehran, Pouria, Virlet, Nicolas, Riche, Andrew, Castle, March, Greche, Latifa, Mohareb, F., Simms, D. M., Mhada, M., Hawkesford, Malcolm
  • Using proximal sensing parameters linked to the photosynthetic capacity to assess the nutritional status and yield potential in quinoa. (2023) Cudjoe, Daniel, Okyere, Frank, Virlet, Nicolas, Castle, March, Buchner, Peter, Parmar, Saroj, Sadeghi-Tehran, Pouria, Riche, Andrew, Sohail, Q., Mhada, M., Ghanem, M., Waine, T. W., Mohareb, F., Hawkesford, Malcolm
  • Global Wheat Head Detection 2021: An Improved Dataset for Benchmarking Wheat Head Detection Methods. (2021) David, E., Serouart, M., Smith, D., Madec, S., Velumani, K., Liu, S., Wang, X., Pinto Espinosa, F., Shafiee, S., Tahir, I. S. A., Tsujimoto, H., Nasuda, S., Zheng, B., Kichgessner, N., Aasen, H., Hund, A., Sadeghi-Tehran, Pouria, Nagasawa, K., Ishikawa, G., Dandrifosse, S., Carlier, A., Mercatoris, B., Kuroki, K., Wang, H., Ishii, M., Badhon, M. A., Pozniak, C., LeBauer, D. S., Lilimo, M., Poland, J., Chapman, S., De Solan, B., Baret, F., Stavness, I., Guo, W.
  • A Neural Network Method for Classification of Sunlit and Shaded Components of Wheat Canopies in the Field Using High-Resolution Hyperspectral Imagery. (2021) Sadeghi-Tehran, Pouria, Virlet, Nicolas, Hawkesford, Malcolm
  • Global Wheat Head Detection (GWHD) Dataset: A Large and Diverse Dataset of High-Resolution RGB-Labelled Images to Develop and Benchmark Wheat Head Detection Methods. (2020) David, E., Madec, S., Sadeghi-Tehran, Pouria, Aasen, H., Zheng, B., Liu, S., Kirchgessner, N., Ishikawa, G., Nagasawa, K., Badhon, M. A., Pozniak, C., De Solan, B., Hund, A., Chapman, S. C., Baret, F., Stavness, I., Guo, W.
  • Time-intensive geoelectrical monitoring under winter wheat. (2020) Blanchy, Guillaume, Virlet, Nicolas, Sadeghi-Tehran, Pouria, Watts, Chris, Hawkesford, Malcolm, Whalley, Richard, Binley, A.
  • Functional QTL mapping and genomic prediction of canopy height in wheat measured using a robotic field phenotyping platform. (2020) Hottis-Lyra, Danilo, Virlet, Nicolas, Sadeghi-Tehran, Pouria, Hassall, Kirsty, Wingen, L. U., Orford, S., Griffiths, S., Hawkesford, Malcolm, Slavov, Gancho
  • DeepCount: In-Field Automatic Quantification of Wheat Spikes Using Simple Linear Iterative Clustering and Deep Convolutional Neural Networks. (2019) Sadeghi-Tehran, Pouria, Virlet, Nicolas, Ampe, E. M., Reyns, P., Hawkesford, Malcolm
  • Scalable Database Indexing and Fast Image Retrieval Based on Deep Learning and Hierarchically Nested Structure Applied to Remote Sensing and Plant Biology. (2019) Sadeghi-Tehran, Pouria, Angelov, P., Virlet, Nicolas, Hawkesford, Malcolm
  • Multi-feature machine learning model for automatic segmentation of green fractional vegetation cover for high-throughput field phenotyping. (2017) Sadeghi-Tehran, Pouria, Virlet, Nicolas, Sabermanesh, Kasra, Hawkesford, Malcolm
  • Automated method to determine two critical growth stages of wheat: heading and flowering. (2017) Sadeghi-Tehran, Pouria, Sabermanesh, Kasra, Virlet, Nicolas, Hawkesford, Malcolm
  • Field Scanalyzer: An automated robotic field phenotyping platform for detailed crop monitoring. (2016) Virlet, Nicolas, Sabermanesh, Kasra, Sadeghi-Tehran, Pouria, Hawkesford, Malcolm