Theme & Sub-Themes
Main theme: Agricultural Statistics in the Era of Artificial Intelligence
Twelve tracks across crops, livestock, fisheries & AI
Data Science and its Applications in Agriculture
Analytics pipelines, big data and machine learning for farm-level and national decisions.
Remote Sensing, GIS and AI for Monitoring Crop, Soil and Animal Health
Satellite, drone and sensor data fused with AI for continuous monitoring.
Digital Agriculture for Food and Biological Systems
IoT, platforms and digital public infrastructure for food systems.
Climate Change, Weather Intelligence and Risk Analytics for Agriculture
Climate-smart decisions, early warning and risk modelling.
AI Driven Forecasting of Agricultural Production, Markets and Food Systems
Yield, price and supply forecasting with modern AI.
Advances in Sample Surveys and Data Quality in Agriculture
Survey design, estimation and quality assurance for official statistics.
Generative AI, Large Language Models and Intelligent Agricultural Advisory Systems
Conversational advisories and decision support for farmers and fishers.
Data Science and its Applications in Design of Experiments
Modern experimental design and analysis for agricultural research.
Data Science for Statistical Genetics and Bioinformatics
Genomic data, breeding analytics and computational biology.
Quantification of Marine Fishery Resources — Assessment of Stocks and Estimation of Periodic Removal: A Methodological Signpost
Stock assessment and landing estimation methods.
Market Intelligence and Traceability in Fisheries Value Chains
Tracing fish from catch to consumer with data.
Computational Aspects of Marine Policy Instrument Implementation — From RFMOs to WTO
Computation behind regional and global fisheries policy.
Conference
Highlights
Have research that fits a sub-theme?
Abstracts are welcome until 15 November 2026.