Predictive models for determining crop yield

On May 13 , the Cajamar Foundation will hold a training webinar focused on the use of mathematical models and artificial intelligence (AI) as key tools for predicting agricultural crop yields . This training session is part of Cajamar's commitment to technological innovation applied to the agri-food sector.

Through real-life examples and case studies, the course will explore how remote sensing using satellites and drones , along with the growing use of mobile devices in the field, are revolutionizing the way crops are managed and production outcomes are anticipated.

The event will feature experts from the academic and technical fields , who will share knowledge on the most relevant indices for estimating crop yield, as well as two projects applied to the fruit and citrus sector, demonstrating the tangible impact of these technologies on modern agriculture.

Webinar program

• 4:30 p.m. – Welcome by Carlos Baixauli Soria , Director of the Cajamar Experience Center
• 4:40 p.m. – Predicting cereal production using remote sensing , by Belén Franch , senior lecturer at the University of Valencia
• 5:00 p.m. – CITRIAFORO: Agriculture 4.0 for the estimation of citrus fruits , by Nicolás Juste Vidal , technician at Anecoop S. Coop.
• 5:20 p.m. – CE-COMMERCE: AI-based citrus e-commerce platform , by Laura Andrés López , researcher at the Polytechnic University of Valencia
• 5:40 p.m. – Roundtable discussion , moderated by Carlos Baixauli , with the participation of the speakers
• 6:00 PM – End of the day

This webinar represents an opportunity for agri-food professionals interested in incorporating smart technology into their agronomic decision-making , improving the efficiency of their farms, and preparing for the challenges of an increasingly digitalized agriculture.

Registration for the event is open and can be done through the Cajamar Foundation website.