I have used clustering algorithms to segregate satellite data and tag different regions with the crop grown in each region. The biggest challenge I have faced in applying AI is the availability of reliable data from field. Typical evaluation surveys are not sufficient to implement AI. In my opinion, large scale 'open' datasets are necessary before AI gets meaningful.
RE: Artificial intelligence in the context of evaluation
I have used clustering algorithms to segregate satellite data and tag different regions with the crop grown in each region. The biggest challenge I have faced in applying AI is the availability of reliable data from field. Typical evaluation surveys are not sufficient to implement AI. In my opinion, large scale 'open' datasets are necessary before AI gets meaningful.