09:00 - 09:10

Introduction
Organizers

09:10 - 10:00

Plenary 1 (40 + 10 mins Q&A)
Melba Crawford
Purdue University

10:00 - 10:15

Contributed talk 1: Deep implicit surface reconstruction of 3D plant geometry from point cloud
Adarsh Krishnamurthy

10:15 - 10:30

Contributed talk 2: Multi-source Unsupervised Domain Adaptation on Corn Yield Prediction
Zhou Zhang

10:30 - 11:00

Keynote 1 (25 + 5 mins Q&A)
Ioannis Athanasiadis
Wageningen University & Research

11:00 - 11:15

Contributed talk 3: XPM: An Explainable-by-Design Pattern-Based Estrus Detection Approach to Improve Resource Use in Dairy Farms
Kevin Fauvel

11:15 - 11:30

Contributed talk 4: TIML: Task-Informed Meta-Learning for crop type mapping
Gabriel Tseng

11:30 - 12:10

Lightning Talks 1 (5 mins*6 + 10 mins Q&A)
  • Channel Randomisation with Domain Control for Effective Representation Learning of Visual Anomalies in Strawberries
  • GrowSpace: Learning How to Shape Plants
  • Toward Semantic Scene Understanding for Fine-Grained 3D Modeling of Plants
  • Privacy-Preserving Deep Models for Plant Stress Phenotyping
  • Simultaneously Predicting Multiple Plant Traits from Multiple Sensors using Deformable CNN Regression
  • Towards Autonomous Berry Harvesting using Visual Servoing of Soft Continuum Arm
Contributed speakers

12:10 - 13:40

Lunch break + posters
  • Multiple broccoli head detection and tracking in 3D point clouds for autonomous harvesting
  • Development of a Robotic Crop Phenotyping Testbed for Sustainable Agriculture
  • Learned Visual Navigation for Under-Canopy Agricultural Robots
  • Evolutionary Hierarchical Harvest Schedule Optimization for Food Waste Prevention
  • Cooperative pepper picking: a Case Study on Yield Estimation in IndoorAgriculture
  • A Conservative Stochastic Contextual Bandit Based Framework for Farming Recommender Systems
  • Robotic detection of leaf angle and grasp point with low-cost sensors
  • Exploring the use of 3D point cloud data for improved plant stress rating
  • Self-Supervised Learning Improves Agricultural Pest Classification
Contributed speakers

13:40 - 14:30

Plenary 2 (40 + 10 mins Q&A)
Gaurav Sukhatme
University of Southern California

14:30 - 14:45

Contributed talk 5: High Throughput Phenotyping for Essential Crop Traits
Girish Chowdhary

14:45 - 15:00

Contributed talk 6: Contact Classification for Agriculture Manipulation in Cluttered Canopies
Moonyoung Lee

15:00 - 15:30

Keynote 2 (25 + 5 mins Q&A)
Stefano Ermon
Stanford University

15:30 - 15:45

Break

15:45 - 16:00

Contributed talk 7: PRMI: A Dataset of Minirhizotron Images for Diverse Plant Root Study
Weihuang Xu

16:00 - 16:15

Contributed talk 8: Validation of Prerequisites for Correct Performance Evaluation of Image-based Plant Disease Diagnosis using Reliable 221K Images Collected from Actual Fields
Shogo Shibuya

16:15 - 16:55

Lightning Talks 2 (5 mins*6 + 10 mins Q&A)
  • A Diverse and Interpretable Benchmark for Viti- and Vini-cultural Visual Understanding
  • SoilMoistureMapper: a GNSS-R approach for soil moisture retrieval on UAV
  • Machine-learning assisted determination of best acquisition protocols in variety testing
  • Data-Driven Estimation of Actual Evapotranspiration to Support Irrigation Management
  • CLAWS: Contrastive Learning with hard Attention and Weak Supervision
  • Fully Printable Low-Cost Dexterous Soft Robotic Manipulators for Agriculture
Contributed speakers

16:55 - 17:10

Closing remarks
Organizers