Agri AI 2027

Second International Workshop on AI in Agriculture
Workshop at AAAI 2027
February 22–23, 2027
Montréal, Canada

About Agri AI 2027

Agriculture is undergoing a rapid transformation driven by digital technologies, including IoT sensors, drones, satellite imagery, and mobile platforms, which generate vast streams of heterogeneous, temporally rich data. These advancements offer unprecedented opportunities for AI to enable smarter, more resilient, and efficient agricultural practices.

As climate change increases variability in crop yields, pest outbreaks, and resource availability, traditional agricultural methods are proving inadequate in addressing these challenges. Although AI has started to tackle these issues through applications such as crop forecasting, disease detection, and irrigation optimization, many existing solutions remain narrow in focus, difficult to generalize, and often lack scalability and adaptability. Furthermore, important human-centered concerns, such as transparency, fairness, and participatory system design, are often underexplored.

The Second International Workshop on AI in Agriculture (Agri AI), co-located with AAAI 2027, aims to address these gaps by bringing together researchers and practitioners to advance robust, responsible, and scalable AI methods tailored to real-world agricultural systems.

Call for Papers

This workshop will cover the following research themes, including but not limited to the topics listed below:

Data Foundations

  • Multi-source agriculture data collection and integration using satellites, drones, IoT sensors, weather stations, cameras, and related sensing platforms
  • Heterogeneous data fusion and multimodal integration across spatio-temporal, vision, text, and sensor data
  • Large-scale, open, high-quality benchmark datasets for AI in agriculture
  • Synthetic data generation and simulators to address label scarcity and rare or extreme events

Decision Intelligence and Scalable AI Models

  • AI-powered decision support systems for precision farming and farm management
  • Predictive analytics for crop recommendation, yield forecasting, resource optimization, and pest/disease outbreaks
  • Transfer learning, domain adaptation, and meta-learning across crops, regions, and modalities
  • Generative AI for scenario modeling, data augmentation, and counterfactual reasoning
  • Foundation models and large pretrained models for agricultural vision, time-series, and multimodal tasks
  • Federated, distributed, and peer-to-peer learning across distributed farms with privacy guarantees
  • Edge AI, on-device learning, and intelligent agricultural systems

Applications and Real-World Deployment of AI

  • AI-driven plant disease and pest detection, yield forecasting, and related agricultural applications
  • Lightweight and energy-efficient AI models for resource-constrained environments
  • Field validation, reliability analysis, and performance benchmarking in real-world conditions
  • Longitudinal deployments and real-world case studies
  • Responsible AI, including fairness, explainability, transparency, and participatory design
  • Policy, governance, privacy, security, and standards for trustworthy and scalable AI in agriculture

Submission Guidelines

We invite research papers presenting original research results, methodologies, systems, deployment experiences, datasets, benchmarks, and real-world case studies at the intersection of artificial intelligence and agriculture. Submissions should not have been published previously and should not be under concurrent review elsewhere.
Papers may be up to 6 pages, including figures, tables, and references. All submissions must follow the AAAI 2027 submission format and must be submitted electronically.
The workshop will follow a single-blind review process; therefore, authors should include their names, affiliations, and contact information in the paper.
Accepted papers will be archived on the workshop website but will not appear in the official AAAI 2027 proceedings. At least one author of each accepted paper must attend the workshop in person and present the work.

Submission Link

OpenReview submission site: TBA

Important Dates

  • Paper submission: November 20, 2026 (AOE)
  • Notification: December 2, 2026 (AOE)
  • Camera-ready: TBA
  • AAAI-27 Workshop Program: February 22–23, 2027

Program

Program: TBA
The detailed workshop schedule will be announced after paper decisions and speaker confirmations.

Speakers

Keynote and Invited Speakers: TBA

Organization

General Co-chairs

Pandarasamy Arjunan
Pandarasamy Arjunan
Indian Institute of Science, Bengaluru
India
Soumik Sarkar
Soumik Sarkar
Iowa State University
USA
Sajal Das
Sajal K. Das
Missouri University of Science & Technology
USA

Technical Program Committee

TBA