Resilience in agriculture systems requires the ability to respond to changes in market and climate. ICT enables scientists to develop models based on real time data along with GIS information to help in decision planning. The challenge is to make these models more resilient by capturing data from remote sensors to enable machine learning. However, I don't think this needs to involve an expensive array of high tech remote sensors, which would exclude a large proportion of farmers. I think we can use producers/growers on the ground to feed back current conditions which can be used to validate models and or satellite imagery.