Affiliation:
1. Plant Phenomics Research Center, Nanjing Agricultural University
Publisher
Japanese Society of Breeding
Subject
Plant Science,Genetics,Agronomy and Crop Science
Reference180 articles.
1. Achanta, R., A. Shaji, K. Smith, A. Lucchi, P. Fua and S. Süsstrunk (2012) SLIC superpixels compared to state-of-the-art superpixel methods. IEEE Trans Pattern Anal Mach Intell 34: 2274–2282.
2. Alkhudaydi, T., D. Reynolds, S. Griffiths, J. Zhou and B. de la Iglesia (2019) An exploration of deep-learning based phenotypic analysis to detect spike regions in field conditions for UK bread wheat. Plant Phenomics 2019: 7368761.
3. Altas, Z., M.M. Ozguven and Y. Yanar (2018) Determination of sugar beet leaf spot disease level (Cercospora Beticola Sacc.) with image processing technique by using drone. Current Investigations in Agriculture and Current Research 5: 621-631.
4. Ando, R., Y. Ozasa and W. Guo (2021) Robust surface reconstruction of plant leaves from 3D point clouds. Plant Phenomics 2021: 3184185.
5. Asaari, M.S.M., S. Mertens, S. Dhondt, D. Inzé, N. Wuyts and P. Scheunders (2019) Analysis of hyperspectral images for detection of drought stress and recovery in maize plants in a high-throughput phenotyping platform. Comput Electron Agric 162: 749–758.
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