The agri-food sector has yet to embrace fully the transformative power of artificial intelligence. AI holds the potential to assist farmers by identifying problems and offering solutions based on verifiable real-time information. For instance, predictive crop and pest models could help agricultural producers prevent outbreaks and optimize use of agricultural inputs. The challenge is that technology companies developing advanced data analysis platforms often do not understand the agri-food sector well enough to conceive of relevant applications for their breakthroughs. Similarly, agri-food sector professionals tend not to know enough about the high-tech world to take advantage of the benefits available through the adoption of relevant emerging technologies used in other sectors.
Another impediment to developing effective algorithms is the lack of accessible, consistent, quality data.
CAAIN is seeking solutions to both these challenges by: