Workshop Program & Recording
October 11, 2021 (times are Eastern Daylight Time, UTC/GMT-4)
| Time | Paper# | Title | Authors | Links |
| 13:00-13:05 | Welcome | |||
| 13:05-13:30 | Invited Speaker 1: Ribana Roscher | Deep Generative Models for Smart Agriculture | ||
| 13:30-13:55 | Session: Seeds, Fruits and Roots | Amy Tabb chair | ||
| 21 | Machine learning and optimal transport meet distinctness in variety testing | Geoffroy Couasnet (INRAe); Mouad Zine El Abidine (Université d’Angers); François Laurens (INRAe); Helin Dutagaci; David Rousseau (Université d’Angers) | Full paper paper presentation | |
| 19 | Analysis of Arabidopsis Root Images — Studies on CNNs and Skeleton-Based Root Topology | Birgit Moeller; Berit Schreck; Stefan Posch (Martin Luther University Halle-Wittenberg) | Full paper paper presentation | |
| 28 | Identification and Measurement of Individual Roots in Minirhizotron Images of Dense Root Systems | Alexander Gillert (Fraunhofer IGD); Bo Peters (Greifswald University); Uwe Freiherr von Lukas (Fraunhofer IGD); Jürgen Kreyling (Greifswald University) | Full paper paper presentation | |
| 9 | A Preliminary Study on Germinated Oil Palm Seeds Quality Classification with Convolutional Neural Networks | Iman Yi Liao; Brandon Soo (University of Nottingham Malaysia); Ziyan Chen; Mohammad Fakhry Jelani; Choo Kien Wong; Wei Chee Wong (Applied Agricultural Resources Sdn. Bhd.) | Abstract paper presentation | |
| 34 | Segmentation and recognition of high throughput soybean pods with a supervised edge attention network and synthetic datasets to extract pod harvestability traits | Si Yang; Lihua Zheng; Minjuan Wang (China Agriculture University); Frédéric Boudon (Cirad); Tingting Wu; Shi Sun (CAAS); Peng He (Alibaba) | Abstract paper presentation | |
| 13:55-14:20 | Session: Field Image Analysis | Amy Tabb chair | ||
| 44 | Field-Based Plot Extraction Using UAV RGB Images | Changye Yang; Sriram Baireddy; Enyu Cai; Melba Crawford; Edward Delp (Purdue University) | Full paper paper presentation | |
| 22 | From RGB to NIR: Predicting of near infrared reflectance from visible spectrum aerial images of crops | Masi Aslahi; Kevin G Stanley; Hema Duddu; Steve Shirtliffe (University of Saskatchewan); Sally Vail (Agriculture and Agri-Food Canada); Kirstin Bett; Curtis Pozniak; Ian Stavness (University of Saskatchewan) | Full paper paper presentation | |
| 36 | Classification and Visualization of Genotype x Phenotype Interactions in Biomass Sorghum | Abby Stylianou (Saint Louis University); Robert Pless (George Washington University); Nadia Shakoor; Todd Mockler (Donald Danforth Plant Science Center) | Full paper paper presentation | |
| 14:20-14:45 | Session: 3D and Segmentation | Michael Pound chair | ||
| 13 | Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit Detection | Zhenghao Fei ; Alexander G Olenskyj ; Brian N Bailey ; Mason Earles (University of California, Davis) | Full paper paper presentation | |
| 43 | Leaf Area Estimation by Semantic Segmentation of Point Cloud of Tomato Plants | Takeshi Masuda (National Institute of Advanced Industrial Science and Technology) | Full paper paper presentation short video | |
| 10 | Transferring PointNet++ Segmentation from Virtual to Real Plants | Ayan Chaudhury (INRIA); Peter Hanappe (Sony CSL Paris); Romain Azais (INRIA); Christophe Godin (INRIA); David Colliaux (Sony CSL) | Abstract paper presentation | |
| 15 | Stomata segmentation using deep learning | Miguel Alonso (Universidad de La Rioja); Ángela Casado-García; Jónathan Heras (Universidad de La Rioja) | Abstract paper presentation | |
| 20 | Automated Surface Area Estimation of Plants based on 3D Point Clouds | Lina M Zabawa; Laura Zabawa; Felix Esser; Lasse Klingbeil; Heiner Kuhlmann (Universität Bonn) | Abstract paper presentation | |
| 14:45-15:00 | Break | |||
| 15:00-15:25 | Invited Speaker 2: Peter McCloskey, Winnie Onyango, and Annalyse Kehs | PlantVillage Nuru: An offline AI assistant for disease diagnostics in food crops | ||
| 15:25-15:45 | Session: Regression & Classification Problems | Ian Stavness chair | ||
| 42 | Predicting Protein Content in Grain Using Hyperspectral Deep Learning | Ole-Christian Galbo Engstrøm (Foss Analytical A/S); Erik Dreier (UCPH FOOD); Kim Steenstrup Pedersen (University of Copenhagen) | Full paper paper presentation long video | |
| 52 | An End-to-End Deep RNN based Network Structure to Precisely Regress the Height of Lettuce by Single Perspective Sparse Point Cloud | Jingsong Li; Xiyue Guo; Ying Wang; Maowei Li; Lihua Zheng; Minjuan Wang (China Agricultural University) | Abstract paper presentation | |
| 40 | Time-Varying Metric Learning for Sorghum Genomic and Phenomic Predictions | Zeyu Zhang (George Washington University); Abby Stylianou (Saint Louis University); Robert Pless (George Washington University) | Abstract paper presentation | |
| 26 | Estimating Leaf Water Content using Remotely Sensed Hyperspectral Data | Vishal Vinod; Rahul Raj; Rohit Pingale; Adinarayana Jagarlapudi (Indian Institute of Technology, Bombay) | Abstract paper presentation | |
| 38 | Pretraining on growth stage from images facilitates Sorghum Biomass prediction | John A Fozard (John Innes Centre) | Abstract paper presentation | |
| 15:45-16:10 | Session: New Datasets & Apps | Andrew French chair | ||
| 16 | Semi-supervised dry herbage mass estimation using automatic data and synthetic images | Paul Albert (Dublin City University); Mohamed M Saadeldin; Badri Narayanan; Brian Mac Namee (University College Dublin); Deirdre Hennessy; Aisling O’Connor (Teagasc); Noel O Connor; Kevin McGuinness (Dublin City University) | Full paper paper presentation long video | |
| 45 | Multi-Domain Few-Shot Learning and Dataset for Agricultural Applications | Anirudh Tunga (Purdue University); Sai Vidyaranya Nuthalapati (Sensyne Health) | Full paper paper presentation | |
| 53 | What Does TERRA-REF’s High Resolution, Multi Sensor Plant Sensing Public Domain Data Offer the Computer Vision Community? | David LeBauer (University of Arizona); Max Burnette (University of Illinois); Noah Fahlgren (Donald Danforth Plant Science Center); Rob Kooper (University of Illinois); Kenton McHenry (University of Illinois Urbana-Champaign); Abby Stylianou (Saint Louis University) | Full paper paper presentation | |
| 7 | An extensive lab- and field-image dataset of crops and weeds for computer vision tasks in agriculture | Michael A Beck (University of Winnipeg); Chen-Yi Liu (University of Manitoba); Christopher Bidinosti; Christopher Henry; Cara Godee; Manisha Ajmani (University of Winnipeg) | Abstract paper presentation | |
| 39 | InterFolia: an embedded, educational application to identify plant species in the wild | Maxime Langlade; Carlos F Crispim-Junior; Debaleena Misra; Laure Tougne (Univ Lyon LIRIS) | Abstract paper presentation long video | |
| 16:10-16:35 | Session: Leaf and Leaf Challenge | Valerio Giuffrida chair | ||
| 1 | LeafMask: Towards Greater Accuracy on Leaf Segmentation | Ruohao Guo; Liao Qu (China Agricultural University); Dantong Niu (University of California Berkeley); Zhenbo Li (China Agricultural University); Jun Yue (Ludong University) | Full paper paper presentation | |
| 2 | Tip-burn stress detection of lettuce canopy grown in Plant Factories | Riccardo Gozzovelli (University of Rome Sapienza); Benjamin Franchetti; Malik Bekmurat (Agricola Moderna); Fiora Pirri (University of Rome Sapienza) | Full paper paper presentation | |
| 41 | Visualizing Feature Maps for Model Selection in Convolutional Neural Networks | Sakib Mostafa; Debajyoti Mondal (University of Saskatchewan); Michael A Beck; Christopher Bidinosti; Christopher Henry (University of Winnipeg); Ian Stavness (University of Saskatchewan) | Full paper paper presentation long video | |
| 24 | The Effects of Model Certainty, Test-Time Augmentation, and Their Trade-Offs on Leaf Segmentation and Counting | Douglas PS Gomes; Lihong Zheng (Charles Sturt University) | Abstract paper presentation | |
| 16:35-17:00 | Session: Wheat Challenge | Ian Stavness chair | ||
| 14 | Dynamic Color Transform for Wheat Head Detection | Chengxin Liu; Kewei Wang; Hao Lu; Zhiguo Cao (Huazhong University of Science and Technology) | Full paper paper presentation | |
| 35 | A Semi-self-supervised Learning Approach for Wheat Head Detection using Extremely Small Number of Labeled Samples | Keyhan Najafian (University of Saskatchewan); Alireza Ghanbari (University of Qom ); Ian Stavness; Lingling Jin (University of Saskatchewan); Gholam Hassan Shirdel (University of Qom); Farhad Maleki (McGill University) | Full paper paper presentation | |
| 32 | WheatNet-Lite: A Novel LightWeight Network for Wheat Head Detection | Sandesh P. Bhagat; Manesh B. Kokare; Vineet M Haswani (Shri Guru Gobind Singhji Institute Of Engineering and Technology Nanded); Praful Hambarde (Indian Institute of Technology Ropar); Ravi Kamble (Shri Guru Gobind Singhji Institute Of Engineering and Technology Nanded) | Full paper paper presentation | |
| 17 | Wheat Detection and Counting Solutions in Global Wheat Head Detection Dataset with Performance-Oriented Strategies | Lujia Zhong (University of Southern California); Minjuan Wang (China Agricultural University) | Abstract paper presentation | |
| 17:00-17:15 | General Discussion |