But despite this promise, industry adoption still lags. Data-sharing remains limited and companies across the value chain have vastly different needs and capabilities. There are also few standards and data governance protocols in place, and more talent and skills are needed to keep pace with the technological wave.
All the same, progress is being made and the potential for AI in the food sector is huge. Key findings from the report are as follows:
Predictive analytics are accelerating R&D cycles in crop and food science. AI…
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