AI, Traceability & Climate Risk Mapping: Intelligence for Resilient Agriculture | Kisaco Research

Discover how AI is revolutionising traceability, risk forecasting, and decision-making in agriculture, linking digital insights with practical regenerative practices.

  • Explore how AI enhances traceability, verification, and risk forecasting across food systems.
  • Understand how climate mapping powered by machine learning predicts droughts, floods, and crop stress.
  • See real-world examples of AI supporting farmers and corporates in building resilient, climate-smart practices.
Speaker(s): 

Author:

Giovanni Causapruno

Sales Director
xFarm Technologies

Giovanni Causapruno is xFarm Technologies Sales Director Europe. He has a PhD in electronic engineering and an MBA from SDA Bocconi. He worked in highly innovative companies ranging from Software Engineering, Innovation Management, and Consultancy. After some experiences in tech companies such as Magneti Marelli and Microsoft, he entered the agri-OEM market working as Business Innovation Manager for SDF Group, a leading tractor manufacturing company. He now works in xFarm Technologies, supporting Food Companies in the digital transformation of their supply chains. This is achieved by promoting from-field sustainable farming, also through the transition to smart farming, with agricultural machines collecting primary data directly from the field.

Giovanni Causapruno

Sales Director
xFarm Technologies

Giovanni Causapruno is xFarm Technologies Sales Director Europe. He has a PhD in electronic engineering and an MBA from SDA Bocconi. He worked in highly innovative companies ranging from Software Engineering, Innovation Management, and Consultancy. After some experiences in tech companies such as Magneti Marelli and Microsoft, he entered the agri-OEM market working as Business Innovation Manager for SDF Group, a leading tractor manufacturing company. He now works in xFarm Technologies, supporting Food Companies in the digital transformation of their supply chains. This is achieved by promoting from-field sustainable farming, also through the transition to smart farming, with agricultural machines collecting primary data directly from the field.

Time: 
4:15PM - 4:45PM
Agenda Track No.: 
Track 2
Session Type: 
General Session (Presentation)
Force Inline Description: 
0