Moving from Data to Agronomic Decisions
Agriculture has come a long way when it comes to collecting data, but that’s not far enough says Syngenta Chief Information Officer Greg Meyers. He sees a need for technologies that leverage data to actually recommend and prescribe specific agronomic decisions.
Meyers… “There's a lot of companies that have focused on sort of base level, you know, just put all your data in here and hopefully good things will come out of it. I think but really the next level of innovation is how you convert data into actually actionable information. So, you know, what should I do here? Why is this happening? What's likely to happen? And how do I intervene? I mean, these are the sorts of agronomic decisions that these tools really promise. And I think that's really where a lot of our R&D is being spent. So they Syngenta digital world, a lot of our time and energy is being put into artificial intelligence, into deep learning and to computer vision, because these are the things that are ultimately going to take you from just looking backwards to tell you what your harvest maps showed you to actually being able to start looking at specific details of what's actually going on in your field. And how to help you figure out what to do next.”
Meyers also sees a lot of opportunities to bring soil health technologies to the market to not only improve yields but to provide ecosystem services.