The future is a place where diseases and ailments can be identified dependably by computers purely from images.
Machine Learning and AI is being used to monitor animal behaviour, promote health and wellbeing and increase operational efficiencies on farms.
Applying AI to geospatial data can facilitate map building, the analysis and audit of physical and environmental assets as well as resource monitoring.
From identifying disease in plants at scale, to finely targeted fertiliser and pesticide dispersal - AI is playing an increasingly important role in Agriculture 2.0.
With the development of ML technology the information needed to devise insights about consumer behaviour towards brands is now easier to collect and process.
Using AI to map faces has a number of important use cases from personal security, to improving CGI.
Autonomous vehicle initiatives have been grabbing headlines for decades, and in recent years many of them have been entering production phases around the globe.
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