Sixth International Workshop on Machine Learning for Cyber-Agricultural Systems (MLCAS 2024)

The theme of MLCAS 2024 will be "User-centric AI applications in Agriculture" to highlight and discuss real life deployments of AI and ML-enabled tools for a variety of agricultural decision support applications relevant for diverse stakeholders including farmers, plant breeders and plant scientists. 

 

We invite extended 2-page-abstract for oral and/or poster presentations on topics Including but not limited to machine learning applications to field-scale plant phenotyping (e.g., trait extraction), plant pathology (e.g., disease, pest, and weed scouting), plant breeding (e.g., yield prediction) and enabling smart farm management practices. We particularly encourage applications of recent AI advances such as multi-modal generative models, large language models (LLM), 3D geometric deep learning, scientific machine learning, deep reinforcement learning, robotic perception and learning-enabled control, uncertainty quantification and robust machine learning, in enabling and accelerating research in plant science and agriculture. We also encourage work that results in creating annotated benchmark datasets for ML in agriculture.

 

Important Dates:

 

Contributed papers

Submission open: May 15

Paper (extended abstract) deadline: July 15

Decision sent to authors: August 12

 

Ag-ML competition

June 28: Start Date

Aug 2: Team composition Deadline

Aug 16: Start of test phase

Aug 26: Final Submission Deadline

Aug 30: Announcement of Results

 

You can either register for MLCAS (only) through the MLCAS website or register for IPPS8 through the IPPS8 website and add MLCAS as an add-on workshop for no additional cost. 

 

Looking forward to seeing you at MLCAS in Nebraska!

 

Sincerely,

MLCAS 2024 Organizers