AGROSTAT 2022 conference was supposed to be organized in Portugal by the Polytechnic Institute of Bragança (www.ipb.pt), but due to the uncertain sanitary situation the organizing committee has decided to shorten it to 1 day and bring in back in France, as a satellite of the JdS 2022 conference organized by the French Society of Statistics (website: https://www.sfds.asso.fr).

The JdS 2022 (https://jds22.sciencesconf.org/) will be organized in Lyon, on June 13-17, and the last day will be dedicated to satellite events, Agrostat 2022 being one of them.

Date of the event:

Friday, June 17th 2022

Location:

Language:

Slides of presentations AND presentations highly preferred in English

Important dates:

• Abstract submission deadline: April 1st April 15th
• Communication of selected abstracts: April 15th April 22nd
• Deadline for reduced rate registrations: May 1st May 21st

Scientific domains / Themes of the conference:

• Sensometrics: centred on statistical methods for sensory analysis such as planning of sensory evaluations and analysis of data from panels of experts or consumer groups; study of the relation between instrumental measurements and sensory measurements; linking consumer preferences with sensory data, etc.
• Chemometrics: focuses on the extraction of information from data collected in analytical chemistry, physical measurements, followed by exploration and prediction in a supervised or unsupervised setting. It includes linear or non-linear procedures, data from multi-input tables, etc.
• Experimental designs: encompass methodologies that offer a general approach for joint optimisation of experimental planning and modelling of phenomena studied in experimental sciences.
• Process control: refers to methods of statistics or artificial intelligence used to develop and better control a process and to improve the quality of products; quantitative or qualitative modelling; experimental designs; validation of measurement methods; design of control charts; neural networks, fuzzy logic, etc.
• Big Data: encompasses massive database management; and using machine learning, deep learning, or artificial intelligence methods to understand consumer profiles.
• Predictive Microbiology and Risk Assessment: encompassing modelling for characterising and controlling the evolution of micro-organisms in food and their effects on human health; evaluation and management of shelf-life; integration of predictive microbiology in optimisation of food processes and novel technologies; advances in risk assessment methods and tools; modelling dose – response relationship; etc.
• Meta-analysis: including protocols and applications in agriculture, animal science, epidemiology, consumer science, food quality and safety.

Registration: 

Registration will be open begining of March 2022 according to the following steps: