Time
Event

8:30 AM – 8:40 AM

Opening Remarks

8:40 AM – 9:10 AM

Invited Talk 1 (25 mins + 5 mins QA)

Speaker: Arti Singh

9:10 AM – 9:25 AM

Contributed Talk 1 (13 mins + 2 mins QA)

Paper: 16 - DeepOryza: A Knowledge guided machine learning model for rice growth simulation

9:25 AM – 9:40 AM

Contributed Talk 2 (13 mins + 2 mins QA)

Paper: 3 - Quality Control in Weather Monitoring with Dynamic Linear Models

9:40 AM – 9:55 AM

Contributed Talk 3 (13 mins + 2 mins QA)

Paper: 6 - Farm-gym: A modular reinforcement learning platform for stochastic agronomic games

9:55 AM – 10:10 AM

Contributed Talk 4 (13 mins + 2 mins QA)

Paper: 8 - Learning Crop Management by Reinforcement: gym-DSSAT

10:10 AM – 10:25 AM

Contributed Talk 5 (13 mins + 2 mins QA)

Paper: 12 - Tomato-plant Sunlit-leaf Segmentation Using Convolutional Neural Networks: Supporting Crop Water Stress Index Measurements

10:30 AM – 11:00 AM

Coffee Break (+ posters)

11:00 AM – 11:30 AM

Invited Talk 2 (25 mins + 5 mins QA)

Speaker: Chris McCool

11:30 AM – 12:30 PM

Lightning Talks (7 - 5 + 3 QA)

Paper: 29 - Persistence Homology to Study Cold Hardiness of Grape Cultivars

Paper: 24 - 2-D HISTOGRAM BASED ON RELATIVE ENTROPY THRESHOLDING FOR CROP SEGMENTATION USING UAV-BASED IMAGES

Paper: 21 - Multi Task Learning for Budbreak Prediction

Paper: 18 - Univariate and multivariate time-series methods to forecast dairy income

Paper: 10 - Semi-Automated Construction of Food Composition Knowledge Base

Paper: 5 - Dual phase convolutional neural network based system aimed at small rice grain dataset for disease identification

Paper: 31 - Optimized Class-specific Data Augmentation for Plant Stress Classification

12:30 PM – 2:00 PM

Lunch Break (+ posters)

2:00 PM – 2:15 PM

Contributed Talk 6 (13 mins + 2 mins QA)

Paper: 13 - A New Dataset and Comparative Study for Aphid Cluster Detection

2:15 PM – 2:30 PM

Contributed Talk 7 (13 mins + 2 mins QA)

Paper: 14 - Hybrid Deep Learning Models with Multi-tasking: A Case Study on Rice Yield Prediction Using Remote Sensing Data

2:30 PM – 2:45 PM

Contributed Talk 8 (13 mins + 2 mins QA)

Paper: 17 - Transfer Learning with Pairwise Comparison for Fine-Granular Fruit Shelf-Life Prediction

2:45 PM – 3:00 PM

Contributed Talk 9 (13 mins + 2 mins QA)

Paper: 19 - LiT Tuned Models for Efficient Species Detection

3:00 PM – 3:15 PM

Contributed Talk 10 (13 mins + 2 mins QA)

Paper: 20 - Zero-Shot Insect Detection via Weak Language Supervision

3:15 PM – 3:30 PM

Contributed Talk 11 (13 mins + 2 mins QA)

Paper: 23 - Towards Autonomous Apple Fruitlet Sizing with Next Best View Planning

3:30 PM – 4:00 PM

Coffee Break (+ posters)

4:00 PM – 4:15 PM

Contributed Talk 12 (13 mins + 2 mins QA)

Paper: 25 - Data driven ensemble learning for soybean yield prediction

4:15 PM – 4:30 PM

Contributed Talk 13 (13 mins + 2 mins QA)

Paper: 30 - Exploiting Unlabeled Data to Improve Detection of Visual Anomalies in Soft Fruits

4:30 PM – 5:30 PM

Lightning Talks (7 - 5+3 mins QA)

Paper: 7 - Soft Robotic End-Effectors in the Wild: A Case Study of a Soft Manipulator for Green Bell Pepper Harvesting

Paper: 2 - Semi-Supervised Object Detection for Agriculture

Paper: 32 - Plant Geometry Reconstruction From Field Data Using Neural Radiance Fields

Paper: 28 - Out-of-distribution algorithms for robust insect classification

Paper: 15 - A Reflection on AI Model Selection for Digital Agriculture Image Datasets

Paper: 27 - Intelligent Drought Stress Monitoring on Spatio-Spectral-Temporal Drone based Crop Imagery using Deep Networks

Paper: 22 - Constrained Reinforcement Learning for Autonomous Farming: Challenges and Opportunities

5:30 PM – 5:35 PM

Closing Remarks

5:35 PM – 6:00 PM

Post-workshop networking (+ posters)