Programme
Workshop Programme
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14:00-14:10 |
Welcoming message and short introduction to phenotyping |
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14:10-15:00 |
Keynote |
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Image-based structural plant phenomics, and why we’re asking the wrong questions |
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15:00-16:00 |
Challenges: LSC and LCC |
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15:00 |
Deep Leaf Segmentation Using Synthetic Data Daniel Ward, Peyman Moghadam, Nicolas Hudson |
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15:20 |
Leaf counting: Multiple scale regression and detection using deep CNNs Yotam Itzhaky, Guy Farjon, Faina Khoroshevsky, Alon Shpigler, Aharon Bar-Hillel |
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15:40 |
Yezi Zhu, Marc Aoun, Marcel Krijn, Joaquin Vanschoren |
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16:00-17:00 |
Coffee break and Poster Session |
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Instance segmentation for plant growth dynamics assessment in artificial soilless conditions. Dmitrii Shadrin |
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What’s That Plant? WTPlant is a Deep Learning System to Identify Plants in Natural Images. Jonas Krause, Gavin Sugita, Kyungim Baek, Lipyeow Lim |
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Soybean Leaf Coverage Estimation for Field-Phenotyping. Kevin Keller, Raghav Khanna, Norbert Kirchgessner, Helge Aasen |
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Measuring Ground Truth for 3D Reconstruction of Plants. Pablo Amador, Mark Müller-Linow, Hanno Scharr |
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Deep Neural Networks for Root System Analysis. Hanno Scharr, Patrick Schwehn, Max Riedel, Katrin Heinz, Kerstin Nagel |
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FLU/VIS registration approach to automated segmentation of VIS plant images. Evgeny Gladilin |
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Low-cost image annotation for supervised machine learning. Application to the detection of weeds in dense culture. Salma Samiei, Ali Ahmad, Pejman Rasti, Etienne Belin, David Rousseau |
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Semantic segmentation on 3D tomato seedling point cloud using deep learning. Weinan Shi, Gert Kootstra, Huanyu Jiang |
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An affordable system to phenotype the root system architecture of the chickpea. Mario Valerio Giuffrida, Thibaut Bontpart, Cristobal Concha-Vidal, Ingrid Robertson, Sotirios Tsaftaris, Peter Doerner |
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Photometric Stereo data for Leaf Segmentation and Plant Phenotyping. Gytis Bernotas, Livia Scorza, Mark Hansen, Lyndon Smith, Karen Halliday, Alistair McCormick, Melvyn Smith |
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High-throughput Phenotyping of Tan Spot Disease on Wheat using IoT and Deep Learning: A proposal workflow. Marcio Nicolau |
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Pheno-Deep Counter: the universal and versatile deep learning architecture for leaf count. Mario Valerio Giuffrida, Peter Doerner, Sotirios Tsaftaris |
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Deep Plant Growth Prediction. Shunsuke Sakurai, Hideaki Uchiyama, Atsushi Shimada, Rin-ichiro Taniguchi |
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RGB -Thermal Sensor Fusion for Leaf Temperature Estimation in Field-Phenotyping. Semion Rozov, Raghav Khanna, Norbert Kirchgessner, Helge Aasen |
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Graph encoding of multiscale structural networks from binary images with application to bioimaging. Nicolas Pasisse, Aurélien Gourrier, Rachel Genthial, Delphine Debarre, Andrea Bassi, David Rousseau |
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Crop Stem Width Estimation in Highly Cluttered Field Environment. Anwesa Choudhuri, Girish Chowdhary [supplemental material] |
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Automated extraction of phyllotactic traits from Arabidopsis thaliana. Timothée Wintz, David Colliaux, Peter Hanappe |
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17:00-18:20 |
Computer Vision Solutions and Imaging Systems |
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17:00 |
A New 4D-RGB Mapping Technique for Field-Based High-Throughput Phenotyping Ali Shafiekhani, Felix B. Fritschi, Guilherme DeSouza |
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17:20 |
Pejman Rasti, Didier Demilly, Landry Benoit, Etienne Belin, Sylvie Ducournau, Francois Chapeau-Blondeau, David Rousseau |
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17:40 |
Root Gap Correction with a Deep Inpainting Model Hao Chen, Mario Valerio Giuffrida, Peter Doerner, Sotirios Tsaftaris |
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18:00 |
Towards Low-Cost Image-based Plant Phenotyping using Reduced-Parameter CNN John Atanbori, Feng Chen, Andrew French, Tony Pridmore |
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18:20-18:35 |
Closing remarks |
