The workshop will be held on the 20th of October at 13:00 HST.
| From |
To |
Session 1 |
| 13:00 |
13:05 |
Welcoming message and short introduction |
| 13:05 |
13:45 |
Invited Speaker – Girish Chowdhury |
| 13:45 |
13:50 |
Lightning talks for Extended Abstracts (1min per talk) |
| 13:50 |
14:00 |
Short Break |
| From |
To |
Session 2 |
| 14:00 |
14:20 |
Papers Session #1 (4mins per presentation) |
| 14:20 |
14:40 |
Papers Session #2 (4mins per presentation) |
| 14:40 |
16:00 |
Poster Session (Coffee Break starts at 15:00) |
| From |
To |
Session 3 |
| 16:00 |
16:40 |
Invited Speaker – Wei Guo |
| 16:40 |
16:55 |
Competition Session |
| 16:55 |
17:00 |
Concluding remarks |
| |
17:00 |
Adjourn |
Lightning talks for Extended Abstracts
- EA #7 - SPROUTS: An Integrated Desktop Application for High-Throughput Root Phenotyping
- EA #9 - CROP-ZERO: Contrastive Recognition Of Plant diseases with Zero-shot Optimization
- EA #19 - RootSAM: Adapting SAM2.1 for Root Segmentation in Minirhizotron Imagery
- EA #23 - NeuraLeaf: Neural Parametric Leaf Models with Shape and Deformation Disentanglement
- EA #24 - AgroBench: Vision-Language Model Benchmark in Agriculture
Papers Session #1
- Paper #1 - PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting
- Paper #3 - AgMIC: Agricultural Masked Image Consistency for Cross-Domain Segmentation
- Paper #16 - Improving Lightweight Weed Detection via Knowledge Distillation
- Paper #17 - Multimodal Fusion of X-Ray Transmission and Dark Field Imaging for Apple Internal Disorders Detection
- Paper #20 - WeedSense: Multi-Task Learning for Weed Segmentation, Height Estimation, and Growth Stage Classification
Papers Session #2
- Paper #5 - Dynamic Monitoring of Crop Canopies Using Time-Series Point Clouds: Insights into Phenotypic Variation and Leaf-Level Photosynthetic Performance
- Paper #8 - High-Throughput Estimation of Photosynthetic Phenotypic Parameters Using Hyperspectral Data
- Paper #12 - Comparative Analysis of Image-Based Deep Learning and Genomic Models for Yield and Protein Content Prediction in Winter Wheat
- Paper #13 - A Case for the Use of Chroma Cartesian Colour Representations for Image Classification on Plant-Based Domains
- Paper #15 - Modeling Time-Lapse Trajectories to Characterize Cranberry Growth
Competition Session
- Paper #6 - First Place Solution to the MLCAS 2025 GWFSS Challenge: The Devil is in the Detail and Minority
- Paper #14 - Decoder-aware Self-Supervised Continual Pretraining and Uncertainty-Guided Pseudo-Labeling for Wheat Organ Segmentation
- EA #4 - Pseudo-Label Refinement for Robust Wheat Head Segmentation via Two-Stage Hybrid Training