Abstracts

All abstracts should be written in English and submitted through the submission portal (link coming soon). 

The abstract submission deadline is November 30th, 2026.

• Presenters have the option between Poster or Podium format. 
• Choose among the six thematic areas to classify your presentation.
• Abstracts are limited to 500 words. At least one author must register. One author is limited to being a presenter for a maximum of three papers.
• Student and early career (post-docs and Ph.D. holders with less than five years post-graduation) presenters who want to participate in the student and early career competition, respectively, should check the mark.
• Note that all abstracts will be peer reviewed. Here is the Evaluation Rubric for reference.

Talks, Presentations and Workshops cover the full range of AI in agricultural research and applications:

1. Plants & Crops 🌿: AI-driven precision agriculture, high-throughput phenotyping, genomic-to-field modeling, hyperspectral and UAV-based pest and disease detection, and ML-enhanced crop growth simulation across genotype*environment*management (G×E×M) interactions. Specifics:  Soil health, nutrient cycling, GHG monitoring, climate adaptation, and water modeling.
2. Animals & Livestock 🐄: AI-integrated precision livestock farming - Sensing, automation, health and welfare monitoring, and production optimization for poultry, swine, dairy, beef, and aquaculture. Specifics: PLF, wearable sensors, welfare scoring, aquaculture, and animal health prediction.
3. Soils, Water, Air & Environment 🌍: AI-enabled soil microbiome characterization, AI for soil health, nutrient and water management, climate adaptation, and environmental monitoring. Specifics include soil health, nutrient cycling, GHG monitoring, climate adaptation, and water modeling.
4. Food, Postharvest & Agribusiness Intelligence 🏭: Intelligent sensing and analytics for food quality, safety, processing, packaging, logistics, traceability and AI-driven farm enterprise modeling, market signal integration, risk and insurance analytics, resource allocation optimization, carbon and sustainability accounting, and data-driven financial decision support for farm operators and agribusinesses. Specifics: AI-driven nondestructive testing method, quality grading, food safety, shelf-life prediction, traceability, and logistics AI.
5. AI Systems & Integrative Approaches 🤖: Autonomous field and indoor robotics, mechatronic automation, AI-guided autonomous and semi-autonomous field equipment, machine vision for selective harvesting, predictive maintenance of agricultural machinery, physics-informed and data-driven digital twins, multi-scale decision-support and prescriptive analytics platforms, explainable AI (xAI), and responsible AI governance frameworks for agri-food systems. Specifics: robotics, digital twins, xAI, decision support systems (DSS), and responsible AI.
6. Cross-Cutting Topics 🌐: Extension and outreach, workforce development, education, policy, and socioeconomic adoption of AI technologies. Specifics: Extension, AI policy, equity and access, adoption barriers, and education.