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Webinar: Predicting tomorrow's harvest

Discover how AI is turning data into reliable yield forecasts, helping cooperatives, growers and food processors make smarter decisions, reduce risk and build more resilient production systems.​

Informations pratiques

24 mars 2026 | 12:00 - 13:00
En ligne
Anglais
Gratuit

Agriculture and fresh produce are facing increasing uncertainty: climate volatility, rising costs, labor shortages and ever-higher expectations from customers and retailers. At the same time, data and AI are opening up new ways to make crop production more predictable, efficient and resilient. 

In this webinar, Möbius and Heliovision show how AI is already delivering tangible impact today through real-world yield forecasting cases in strawberries and mushrooms, from strategic planning to day-to-day harvest decisions.​

For whom is this webinar?​

This webinar is designed for professionals active in agriculture, fresh produce and food value chains, including:​

  • Growers, cooperatives and producer organizations​
  • Fresh produce companies and food processors​
  • Innovation, R&D, analytics and digital transformation teams​
  • Consultants and advisors supporting growers and agri-businesses​

Both small, innovative players and larger international organizations will find relevant insights.​

This webinar will be presented in English.

Agenda

  1. Welcome & context: Why yield predictability matters more than ever 

  2. AI in practice: yield forecasting beyond the hype 

  3. Case 1: AI-driven strawberry yield forecasting at Coöperatie Hoogstraten 

  4. Case 2: Smart yield forecasting with the Funghii Growth app in mushroom farming 

  5. Q&A & closing remarks 

What will you learn?

By the end of this webinar, you’ll understand: 

  • How AI can turn historical, environmental and visual data into reliable yield forecasts 

  • The difference between strategic forecasting and real-time operational monitoring 

  • How AI solutions can be implemented pragmatically 

  • What measurable business impact to expect, including expected forecast accuracy and ROI 

  • How to identify a realistic first AI use case for your own organization

     

Speakers

CYNHAD1

Cynthia Hadinoto

Cynthia is AI Lead at Möbius Business Redesign. She brings eight years of experience from the financial sector, where she worked at KBC and J.P. Morgan on quantitative modeling and forecasting. Today, she leads a team of data scientists applying advanced machine-learning techniques to complex forecasting, planning and optimization challenges.​

LinkedIn
Emile Derache

Emile Derache

Emile is Business Lead at Heliovision. He has over ten years of experience in industrial vision systems and applied AI. Emile works closely with technology partners and end users to deploy AI solutions that make production processes more predictable, scalable and labor-efficient.​

LinkedIn

Register now